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1709.08267v2
[ { "index": 2, "records": [ { "column": 9, "dataset": "WOS-5736", "metric": "Accuracy", "model": "HDLTex", "row": 18, "task": "Document Classification", "value": "90.93" }, { "column": 3, "dataset": "WOS-11967", "metric": "Accuracy", "model": "HDLTex", "row": 22, "task": "Document Classification", "value": "86.07" }, { "column": 6, "dataset": "WOS-46985", "metric": "Accuracy", "model": "HDLTex", "row": 26, "task": "Document Classification", "value": "76.58" } ] } ]
1710.00925v5
[ { "index": 0, "records": [ { "column": 4, "dataset": "AFLW2000", "metric": "MAE", "model": "Multi-Loss ResNet50 (a=2)", "row": 1, "task": "Head Pose Estimation", "value": "6.155" } ] }, { "index": 1, "records": [ { "column": 4, "dataset": "BIWI", "metric": "MAE", "model": "Multi-Loss ResNet50", "row": 2, "task": "Head Pose Estimation", "value": "4.895" } ] } ]
1710.04026v2
[ { "index": 1, "records": [ { "column": 13, "dataset": "Set12 sigma15", "metric": "PSNR", "model": "FFDNet", "row": 32, "task": "Grayscale Image Denoising", "value": "25.49" } ] }, { "index": 2, "records": [ { "column": 6, "dataset": "BSD68 sigma15", "metric": "PSNR", "model": "FFDNet", "row": 1, "task": "Grayscale Image Denoising", "value": "31.63" }, { "column": 6, "dataset": "BSD68 sigma25", "metric": "PSNR", "model": "FFDNet", "row": 2, "task": "Grayscale Image Denoising", "value": "29.19" }, { "column": 6, "dataset": "BSD68 sigma35", "metric": "PSNR", "model": "FFDNet", "row": 3, "task": "Grayscale Image Denoising", "value": "27.73" }, { "column": 6, "dataset": "BSD68 sigma50", "metric": "PSNR", "model": "FFDNet", "row": 4, "task": "Grayscale Image Denoising", "value": "26.29" }, { "column": 6, "dataset": "BSD68 sigma75", "metric": "PSNR", "model": "FFDNet", "row": 5, "task": "Grayscale Image Denoising", "value": "24.79" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "Clip300 sigma15", "metric": "PSNR", "model": "FFDNet-Clip", "row": 3, "task": "Grayscale Image Denoising", "value": "31.68" }, { "column": 2, "dataset": "Clip300 sigma25", "metric": "PSNR", "model": "FFDNet-Clip", "row": 3, "task": "Grayscale Image Denoising", "value": "29.25" }, { "column": 3, "dataset": "Clip300 sigma35", "metric": "PSNR", "model": "FFDNet-Clip", "row": 3, "task": "Grayscale Image Denoising", "value": "27.75" }, { "column": 4, "dataset": "Clip300 sigma50", "metric": "PSNR", "model": "FFDNet-Clip", "row": 3, "task": "Grayscale Image Denoising", "value": "26.25" }, { "column": 5, "dataset": "Clip300 sigma60", "metric": "PSNR", "model": "FFDNet-Clip", "row": 3, "task": "Grayscale Image Denoising", "value": "25.51" } ] }, { "index": 4, "records": [ { "column": 2, "dataset": "CBSD68 sigma15", "metric": "PSNR", "model": "FFDNet", "row": 3, "task": "Color Image Denoising", "value": "33.87" }, { "column": 3, "dataset": "CBSD68 sigma25", "metric": "PSNR", "model": "FFDNet", "row": 3, "task": "Color Image Denoising", "value": "31.21" }, { "column": 4, "dataset": "CBSD68 sigma35", "metric": "PSNR", "model": "FFDNet", "row": 3, "task": "Color Image Denoising", "value": "29.58" }, { "column": 5, "dataset": "CBSD68 sigma50", "metric": "PSNR", "model": "FFDNet", "row": 3, "task": "Color Image Denoising", "value": "27.96" }, { "column": 6, "dataset": "CBSD68 sigma75", "metric": "PSNR", "model": "FFDNet", "row": 3, "task": "Color Image Denoising", "value": "26.24" }, { "column": 2, "dataset": "Kodak25 sigma15", "metric": "PSNR", "model": "FFDNet", "row": 6, "task": "Color Image Denoising", "value": "34.63" }, { "column": 3, "dataset": "Kodak25 sigma25", "metric": "PSNR", "model": "FFDNet", "row": 6, "task": "Color Image Denoising", "value": "32.13" }, { "column": 4, "dataset": "Kodak25 sigma35", "metric": "PSNR", "model": "FFDNet", "row": 6, "task": "Color Image Denoising", "value": "30.57" }, { "column": 5, "dataset": "Kodak25 sigma50", "metric": "PSNR", "model": "FFDNet", "row": 6, "task": "Color Image Denoising", "value": "28.98" }, { "column": 6, "dataset": "Kodak25 sigma75", "metric": "PSNR", "model": "FFDNet", "row": 6, "task": "Color Image Denoising", "value": "27.27" }, { "column": 2, "dataset": "McMaster sigma15", "metric": "PSNR", "model": "FFDNet", "row": 9, "task": "Color Image Denoising", "value": "34.66" }, { "column": 3, "dataset": "McMaster sigma25", "metric": "PSNR", "model": "FFDNet", "row": 9, "task": "Color Image Denoising", "value": "32.35" }, { "column": 4, "dataset": "McMaster sigma35", "metric": "PSNR", "model": "FFDNet", "row": 9, "task": "Color Image Denoising", "value": "30.81" }, { "column": 5, "dataset": "McMaster sigma50", "metric": "PSNR", "model": "FFDNet", "row": 9, "task": "Color Image Denoising", "value": "29.18" }, { "column": 6, "dataset": "McMaster sigma75", "metric": "PSNR", "model": "FFDNet", "row": 9, "task": "Color Image Denoising", "value": "27.33" } ] } ]
1710.08092v2
[ { "index": 5, "records": [ { "column": 2, "dataset": "IJB-A", "metric": "TAR @ FAR=0.001", "model": "VGGFace2_ft", "row": 7, "task": "Face Verification", "value": "0.921" }, { "column": 3, "dataset": "IJB-A", "metric": "TAR @ FAR=0.01", "model": "VGGFace2_ft", "row": 7, "task": "Face Verification", "value": "0.968" }, { "column": 4, "dataset": "IJB-A", "metric": "TAR @ FAR=0.1", "model": "VGGFace2_ft", "row": 7, "task": "Face Verification", "value": "0.99" } ] }, { "index": 6, "records": [ { "column": 4, "dataset": "IJB-B", "metric": "TAR @ FAR=0.001", "model": "VGGFace2_ft", "row": 7, "task": "Face Verification", "value": "0.908" }, { "column": 5, "dataset": "IJB-B", "metric": "TAR @ FAR=0.01", "model": "VGGFace2_ft", "row": 7, "task": "Face Verification", "value": "0.956" } ] }, { "index": 7, "records": [ { "column": 4, "dataset": "IJB-C", "metric": "TAR @ FAR=0.001", "model": "VGGFace2_ft", "row": 5, "task": "Face Verification", "value": "92.7" }, { "column": 5, "dataset": "IJB-C", "metric": "TAR @ FAR=0.01", "model": "VGGFace2_ft", "row": 5, "task": "Face Verification", "value": "96.7" } ] } ]
1710.10044v1
[ { "index": 0, "records": [ { "column": 2, "dataset": "Atari-57", "metric": "Medium Human-Normalized Score", "model": "QR-DQN-1", "row": 8, "task": "Atari Games", "value": "211" } ] }, { "index": 2, "records": [ { "column": 7, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "QR-DQN-1", "row": 1, "task": "Atari Games", "value": "4871" }, { "column": 7, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "QR-DQN-1", "row": 2, "task": "Atari Games", "value": "1641" }, { "column": 7, "dataset": "Atari 2600 Assault", "metric": "Score", "model": "QR-DQN-1", "row": 3, "task": "Atari Games", "value": "22012" }, { "column": 7, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "QR-DQN-1", "row": 4, "task": "Atari Games", "value": "261025" }, { "column": 7, "dataset": "Atari 2600 Asteroids", "metric": "Score", "model": "QR-DQN-1", "row": 5, "task": "Atari Games", "value": "4226" }, { "column": 7, "dataset": "Atari 2600 Atlantis", "metric": "Score", "model": "QR-DQN-1", "row": 6, "task": "Atari Games", "value": "971850" }, { "column": 7, "dataset": "Atari 2600 Bank Heist", "metric": "Score", "model": "QR-DQN-1", "row": 7, "task": "Atari Games", "value": "1249" }, { "column": 7, "dataset": "Atari 2600 Battle Zone", "metric": "Score", "model": "QR-DQN-1", "row": 8, "task": "Atari Games", "value": "39268" }, { "column": 7, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "QR-DQN-1", "row": 9, "task": "Atari Games", "value": "34821" }, { "column": 7, "dataset": "Atari 2600 Berzerk", "metric": "Score", "model": "QR-DQN-1", "row": 10, "task": "Atari Games", "value": "3117" }, { "column": 7, "dataset": "Atari 2600 Bowling", "metric": "Score", "model": "QR-DQN-1", "row": 11, "task": "Atari Games", "value": "77.2" }, { "column": 7, "dataset": "Atari 2600 Boxing", "metric": "Score", "model": "QR-DQN-1", "row": 12, "task": "Atari Games", "value": "99.9" }, { "column": 7, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "QR-DQN-1", "row": 13, "task": "Atari Games", "value": "742" }, { "column": 7, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "QR-DQN-1", "row": 14, "task": "Atari Games", "value": "12447" }, { "column": 7, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "QR-DQN-1", "row": 15, "task": "Atari Games", "value": "14667" }, { "column": 7, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "QR-DQN-1", "row": 16, "task": "Atari Games", "value": "161196" }, { "column": 7, "dataset": "Atari 2600 Defender", "metric": "Score", "model": "QR-DQN-1", "row": 17, "task": "Atari Games", "value": "47887" }, { "column": 7, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "QR-DQN-1", "row": 18, "task": "Atari Games", "value": "121551" }, { "column": 7, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "QR-DQN-1", "row": 19, "task": "Atari Games", "value": "21.9" }, { "column": 7, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "QR-DQN-1", "row": 20, "task": "Atari Games", "value": "2355" }, { "column": 7, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "QR-DQN-1", "row": 21, "task": "Atari Games", "value": "39" }, { "column": 7, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "QR-DQN-1", "row": 22, "task": "Atari Games", "value": "34" }, { "column": 7, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "QR-DQN-1", "row": 23, "task": "Atari Games", "value": "4384" }, { "column": 7, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "QR-DQN-1", "row": 24, "task": "Atari Games", "value": "113585" }, { "column": 7, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "QR-DQN-1", "row": 25, "task": "Atari Games", "value": "995" }, { "column": 7, "dataset": "Atari 2600 HERO", "metric": "Score", "model": "QR-DQN-1", "row": 26, "task": "Atari Games", "value": "21395" }, { "column": 7, "dataset": "Atari 2600 Ice Hockey", "metric": "Score", "model": "QR-DQN-1", "row": 27, "task": "Atari Games", "value": "-1.7" }, { "column": 7, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "QR-DQN-1", "row": 28, "task": "Atari Games", "value": "4703" }, { "column": 7, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "QR-DQN-1", "row": 29, "task": "Atari Games", "value": "15356" }, { "column": 7, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "QR-DQN-1", "row": 30, "task": "Atari Games", "value": "11447" }, { "column": 7, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "QR-DQN-1", "row": 31, "task": "Atari Games", "value": "76642" }, { "column": 7, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "QR-DQN-1", "row": 32, "task": "Atari Games", "value": "0" }, { "column": 7, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "QR-DQN-1", "row": 33, "task": "Atari Games", "value": "5821" }, { "column": 7, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "QR-DQN-1", "row": 34, "task": "Atari Games", "value": "21890" }, { "column": 7, "dataset": "Atari 2600 Phoenix", "metric": "Score", "model": "QR-DQN-1", "row": 35, "task": "Atari Games", "value": "16585" }, { "column": 7, "dataset": "Atari 2600 Pitfall!", "metric": "Score", "model": "QR-DQN-1", "row": 36, "task": "Atari Games", "value": "0" }, { "column": 7, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "QR-DQN-1", "row": 37, "task": "Atari Games", "value": "21" }, { "column": 7, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "QR-DQN-1", "row": 38, "task": "Atari Games", "value": "350" }, { "column": 7, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "QR-DQN-1", "row": 39, "task": "Atari Games", "value": "572510" }, { "column": 7, "dataset": "Atari 2600 River Raid", "metric": "Score", "model": "QR-DQN-1", "row": 40, "task": "Atari Games", "value": "17571" }, { "column": 7, "dataset": "Atari 2600 Road Runner", "metric": "Score", "model": "QR-DQN-1", "row": 41, "task": "Atari Games", "value": "64262" }, { "column": 7, "dataset": "Atari 2600 Robotank", "metric": "Score", "model": "QR-DQN-1", "row": 42, "task": "Atari Games", "value": "59.4" }, { "column": 7, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "QR-DQN-1", "row": 43, "task": "Atari Games", "value": "8268" }, { "column": 7, "dataset": "Atari 2600 Skiing", "metric": "Score", "model": "QR-DQN-1", "row": 44, "task": "Atari Games", "value": "-9324" }, { "column": 7, "dataset": "Atari 2600 Solaris", "metric": "Score", "model": "QR-DQN-1", "row": 45, "task": "Atari Games", "value": "6740" }, { "column": 7, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "QR-DQN-1", "row": 46, "task": "Atari Games", "value": "20972" }, { "column": 7, "dataset": "Atari 2600 Star Gunner", "metric": "Score", "model": "QR-DQN-1", "row": 47, "task": "Atari Games", "value": "77495" }, { "column": 7, "dataset": "Atari 2600 Surround", "metric": "Score", "model": "QR-DQN-1", "row": 48, "task": "Atari Games", "value": "8.2" }, { "column": 7, "dataset": "Atari 2600 Tennis", "metric": "Score", "model": "QR-DQN-1", "row": 49, "task": "Atari Games", "value": "23.6" }, { "column": 7, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "QR-DQN-1", "row": 50, "task": "Atari Games", "value": "10345" }, { "column": 7, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "QR-DQN-1", "row": 51, "task": "Atari Games", "value": "297" }, { "column": 7, "dataset": "Atari 2600 Up and Down", "metric": "Score", "model": "QR-DQN-1", "row": 52, "task": "Atari Games", "value": "71260" }, { "column": 7, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "QR-DQN-1", "row": 53, "task": "Atari Games", "value": "43.9" }, { "column": 7, "dataset": "Atari 2600 Video Pinball", "metric": "Score", "model": "QR-DQN-1", "row": 54, "task": "Atari Games", "value": "705662" }, { "column": 7, "dataset": "Atari 2600 Wizard of Wor", "metric": "Score", "model": "QR-DQN-1", "row": 55, "task": "Atari Games", "value": "25061" }, { "column": 7, "dataset": "Atari 2600 Yars Revenge", "metric": "Score", "model": "QR-DQN-1", "row": 56, "task": "Atari Games", "value": "26447" }, { "column": 7, "dataset": "Atari 2600 Zaxxon", "metric": "Score", "model": "QR-DQN-1", "row": 57, "task": "Atari Games", "value": "13112" } ] } ]
1711.00199v3
[ { "index": 1, "records": [ { "column": 3, "dataset": "YCB-Video", "metric": "Mean ADD", "model": "PoseCNN", "row": 24, "task": "6D Pose Estimation using RGB", "value": "53.7" }, { "column": 4, "dataset": "YCB-Video", "metric": "Mean ADD-S", "model": "PoseCNN", "row": 24, "task": "6D Pose Estimation using RGB", "value": "75.9" }, { "column": 9, "dataset": "YCB-Video", "metric": "Mean ADD", "model": "PoseCNN (ICP)", "row": 24, "task": "6D Pose Estimation using RGBD", "value": "79.3" }, { "column": 10, "dataset": "YCB-Video", "metric": "Mean ADD-S", "model": "ALL PoseCNN+ICP", "row": 24, "task": "6D Pose Estimation using RGBD", "value": "93" } ] }, { "index": 2, "records": [ { "column": 6, "dataset": "Occlusion LineMOD", "metric": "Mean ADD", "model": "Ours PoseCNN+ICP", "row": 9, "task": "6D Pose Estimation using RGB", "value": "78" } ] } ]
1711.04071v3
[ { "index": 3, "records": [ { "column": 1, "dataset": "FB15k-237", "metric": "MRR", "model": "KBGAN (TransD + ComplEx)", "row": 11, "task": "Link Prediction", "value": "0.277" }, { "column": 2, "dataset": "FB15k-237", "metric": "Hits@10", "model": "KBGAN (TransD + ComplEx)", "row": 11, "task": "Link Prediction", "value": "0.458" }, { "column": 3, "dataset": "WN18", "metric": "MRR", "model": "KBGAN (TransD + ComplEx)", "row": 11, "task": "Link Prediction", "value": "0.779" }, { "column": 4, "dataset": "WN18", "metric": "Hits@10", "model": "KBGAN (TransD + ComplEx)", "row": 11, "task": "Link Prediction", "value": "0.948" }, { "column": 5, "dataset": "WN18RR", "metric": "MRR", "model": "KBGAN (TransD + ComplEx)", "row": 11, "task": "Link Prediction", "value": "0.215" }, { "column": 6, "dataset": "WN18RR", "metric": "Hits@10", "model": "KBGAN (TransD + ComplEx)", "row": 11, "task": "Link Prediction", "value": "0.469" } ] } ]
1711.06025v2
[ { "index": 0, "records": [ { "column": 2, "dataset": "OMNIGLOT - 1-Shot, 5-way", "metric": "Accuracy", "model": "Relation Net", "row": 12, "task": "Few-Shot Image Classification", "value": "99.6" }, { "column": 3, "dataset": "OMNIGLOT - 5-Shot, 5-way", "metric": "Accuracy", "model": "Relation Net", "row": 12, "task": "Few-Shot Image Classification", "value": "99.8" }, { "column": 4, "dataset": "OMNIGLOT - 1-Shot, 20-way", "metric": "Accuracy", "model": "Relation Net", "row": 12, "task": "Few-Shot Image Classification", "value": "97.6" }, { "column": 5, "dataset": "OMNIGLOT - 5-Shot, 20-way", "metric": "Accuracy", "model": "Relation Net", "row": 12, "task": "Few-Shot Image Classification", "value": "99.1" } ] }, { "index": 1, "records": [ { "column": 2, "dataset": "CUB 200 5-way 1-shot", "metric": "Accuracy", "model": "Relation Net", "row": 7, "task": "Few-Shot Image Classification", "value": "50.44" }, { "column": 3, "dataset": "CUB 200 5-way 5-shot", "metric": "Accuracy", "model": "Relation Net", "row": 7, "task": "Few-Shot Image Classification", "value": "65.32" } ] } ]
1711.06396v1
[ { "index": 0, "records": [ { "column": 2, "dataset": "KITTI Cars Easy val", "metric": "AP", "model": "VoxelNet", "row": 8, "task": "Birds Eye View Object Detection", "value": "89.6" }, { "column": 3, "dataset": "KITTI Cars Moderate val", "metric": "AP", "model": "VoxelNet", "row": 8, "task": "Birds Eye View Object Detection", "value": "84.81" }, { "column": 4, "dataset": "KITTI Cars Hard val", "metric": "AP", "model": "VoxelNet", "row": 8, "task": "Birds Eye View Object Detection", "value": "78.57" }, { "column": 5, "dataset": "KITTI Pedestrian Easy val", "metric": "AP", "model": "VoxelNet", "row": 8, "task": "Birds Eye View Object Detection", "value": "65.95" }, { "column": 6, "dataset": "KITTI Pedestrian Moderate val", "metric": "AP", "model": "VoxelNet", "row": 8, "task": "Birds Eye View Object Detection", "value": "61.05" }, { "column": 7, "dataset": "KITTI Pedestrian Hard val", "metric": "AP", "model": "VoxelNet", "row": 8, "task": "Birds Eye View Object Detection", "value": "56.98" }, { "column": 8, "dataset": "KITTI Cyclist Easy val", "metric": "AP", "model": "VoxelNet", "row": 8, "task": "Birds Eye View Object Detection", "value": "74.41" }, { "column": 9, "dataset": "KITTI Cyclist Moderate val", "metric": "AP", "model": "VoxelNet", "row": 8, "task": "Birds Eye View Object Detection", "value": "52.18" }, { "column": 10, "dataset": "KITTI Cyclist Hard val", "metric": "AP", "model": "VoxelNet", "row": 8, "task": "Birds Eye View Object Detection", "value": "50.49" } ] }, { "index": 2, "records": [ { "column": 1, "dataset": "KITTI Cars Easy", "metric": "AP", "model": "VoxelNet ", "row": 1, "task": "3D Object Detection", "value": "77.47" }, { "column": 2, "dataset": "KITTI Cars Moderate", "metric": "AP", "model": "VoxelNet ", "row": 1, "task": "3D Object Detection", "value": "65.11" }, { "column": 3, "dataset": "KITTI Cars Hard", "metric": "AP", "model": "VoxelNet ", "row": 1, "task": "3D Object Detection", "value": "57.73" }, { "column": 1, "dataset": "KITTI Cars Easy", "metric": "AP", "model": "VoxelNet", "row": 2, "task": "Object Localization", "value": "89.35" }, { "column": 2, "dataset": "KITTI Cars Moderate", "metric": "AP", "model": "VoxelNet", "row": 2, "task": "Object Localization", "value": "79.26" }, { "column": 3, "dataset": "KITTI Cars Hard", "metric": "AP", "model": "VoxelNet", "row": 2, "task": "Object Localization", "value": "77.39" }, { "column": 1, "dataset": "KITTI Pedestrians Easy", "metric": "AP", "model": "VoxelNet ", "row": 3, "task": "3D Object Detection", "value": "39.48" }, { "column": 2, "dataset": "KITTI Pedestrians Moderate", "metric": "AP", "model": "VoxelNet", "row": 3, "task": "3D Object Detection", "value": "33.69" }, { "column": 3, "dataset": "KITTI Pedestrians Hard", "metric": "AP", "model": "VoxelNet", "row": 3, "task": "3D Object Detection", "value": "31.51" }, { "column": 1, "dataset": "KITTI Pedestrians Easy", "metric": "AP", "model": "VoxelNet", "row": 4, "task": "Object Localization", "value": "46.13" }, { "column": 2, "dataset": "KITTI Pedestrians Moderate", "metric": "AP", "model": "VoxelNet", "row": 4, "task": "Object Localization", "value": "40.74" }, { "column": 3, "dataset": "KITTI Pedestrians Hard", "metric": "AP", "model": "VoxelNet", "row": 4, "task": "Object Localization", "value": "38.11" }, { "column": 1, "dataset": "KITTI Cyclists Easy", "metric": "AP", "model": "VoxelNet ", "row": 5, "task": "3D Object Detection", "value": "61.22" }, { "column": 2, "dataset": "KITTI Cyclists Moderate", "metric": "AP", "model": "VoxelNet ", "row": 5, "task": "3D Object Detection", "value": "48.36" }, { "column": 3, "dataset": "KITTI Cyclists Hard", "metric": "AP", "model": "VoxelNet ", "row": 5, "task": "3D Object Detection", "value": "44.37" }, { "column": 1, "dataset": "KITTI Cyclists Easy", "metric": "AP", "model": "VoxelNet", "row": 6, "task": "Object Localization", "value": "66.7" }, { "column": 2, "dataset": "KITTI Cyclists Moderate", "metric": "AP", "model": "VoxelNet", "row": 6, "task": "Object Localization", "value": "54.76" }, { "column": 3, "dataset": "KITTI Cyclists Hard", "metric": "AP", "model": "VoxelNe", "row": 6, "task": "Object Localization", "value": "50.55" } ] } ]
1711.07011v4
[ { "index": 3, "records": [ { "column": 1, "dataset": "CK+", "metric": "Accuracy (10-fold)", "model": "MicroExpNet", "row": 10, "task": "Facial Expression Recognition", "value": "96.9" } ] }, { "index": 4, "records": [ { "column": 1, "dataset": "Oulu-CASIA", "metric": "Accuracy (10-fold)", "model": "MicroExpNet", "row": 10, "task": "Facial Expression Recognition", "value": "95.02" } ] } ]
1711.08184v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "Market-1501", "metric": "MAP", "model": "AlignedReID (RK)", "row": 17, "task": "Person Re-Identification", "value": "90.7" }, { "column": 2, "dataset": "Market-1501", "metric": "Rank-1", "model": "AlignedReID (RK)", "row": 17, "task": "Person Re-Identification", "value": "94.4" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "CUHK03", "metric": "Rank-1", "model": "AlignedReID (RK)", "row": 17, "task": "Person Re-Identification", "value": "97.8" }, { "column": 2, "dataset": "CUHK03", "metric": "Rank-5", "model": "AlignedReID (RK)", "row": 17, "task": "Person Re-Identification", "value": "99.6" }, { "column": 3, "dataset": "CUHK03", "metric": "Rank-10", "model": "AlignedReID (RK)", "row": 17, "task": "Person Re-Identification", "value": "99.8" } ] }, { "index": 4, "records": [ { "column": 1, "dataset": "CUHK-SYSU", "metric": "MAP", "model": "AlignedReID", "row": 4, "task": "Person Re-Identification", "value": "94.4" }, { "column": 2, "dataset": "CUHK-SYSU", "metric": "Rank-1", "model": "AlignedReID", "row": 4, "task": "Person Re-Identification", "value": "95.7" } ] } ]
1711.08267v1
[ { "index": 1, "records": [ { "column": 2, "dataset": "BlogCatalog", "metric": "Macro-F1", "model": "GraphGAN", "row": 6, "task": "Node Classification", "value": "0.221" }, { "column": 3, "dataset": "Wikipedia", "metric": "Accuracy", "model": "GraphGAN", "row": 6, "task": "Node Classification", "value": "21.3" } ] } ]
1711.08611v1
[ { "index": 1, "records": [ { "column": 4, "dataset": "TREC Robust04", "metric": "P@20", "model": "DRMM", "row": 17, "task": "Ad-Hoc Information Retrieval", "value": "0.382" } ] } ]
1711.08848v5
[ { "index": 0, "records": [ { "column": 3, "dataset": "LineMOD", "metric": "Accuracy", "model": "Single-shot Deep CNN", "row": 16, "task": "6D Pose Estimation using RGB", "value": "90.37%" } ] }, { "index": 1, "records": [ { "column": 4, "dataset": "LineMOD", "metric": "Mean ADD", "model": "Single-shot Deep CNN", "row": 16, "task": "6D Pose Estimation using RGB", "value": "55.95" } ] }, { "index": 3, "records": [ { "column": 2, "dataset": "LineMOD", "metric": "Mean IoU", "model": "Single-shot Deep CNN", "row": 14, "task": "6D Pose Estimation using RGB", "value": "99.92" } ] } ]
1711.08920v2
[ { "index": 1, "records": [ { "column": 3, "dataset": "Cora", "metric": "Accuracy", "model": "SplineCNN", "row": 1, "task": "Node Classification", "value": "89.48" } ] } ]
1711.09125v2
[ { "index": 5, "records": [ { "column": 4, "dataset": "UCF101", "metric": "3-fold Accuracy", "model": "TSN+TSM", "row": 18, "task": "Action Recognition In Videos", "value": "94.3" } ] } ]
1711.10006v1
[ { "index": 2, "records": [ { "column": 1, "dataset": "Tejani", "metric": "IoU-2D", "model": "SSD-6D", "row": 7, "task": "6D Pose Estimation using RGBD", "value": "0.988" }, { "column": 2, "dataset": "Tejani", "metric": "IoU-3D", "model": "SSD-6D", "row": 7, "task": "6D Pose Estimation using RGBD", "value": "0.963" }, { "column": 3, "dataset": "Tejani", "metric": "VSS-2D", "model": "SSD-6D", "row": 7, "task": "6D Pose Estimation using RGBD", "value": "0.724" }, { "column": 4, "dataset": "Tejani", "metric": "VSS-3D", "model": "SSD-6D", "row": 7, "task": "6D Pose Estimation using RGBD", "value": "0.854" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "LineMOD", "metric": "Mean IoU", "model": "SSD-6D", "row": 2, "task": "6D Pose Estimation using RGB", "value": "99.4" }, { "column": 1, "dataset": "LineMOD", "metric": "Mean ADD", "model": "SSD-6D", "row": 3, "task": "6D Pose Estimation using RGB", "value": "76.3" } ] }, { "index": 4, "records": [ { "column": 1, "dataset": "LineMOD", "metric": "Mean IoU", "model": "SSD-6D", "row": 2, "task": "6D Pose Estimation using RGBD", "value": "96.5" }, { "column": 1, "dataset": "LineMOD", "metric": "Mean ADD", "model": "SSD-6D", "row": 3, "task": "6D Pose Estimation using RGBD", "value": "90.9" } ] } ]
1711.10305v1
[ { "index": 2, "records": [ { "column": 3, "dataset": "Sports-1M", "metric": "Clip Hit@1", "model": "P3D", "row": 7, "task": "Action Recognition In Videos", "value": "47.9" }, { "column": 5, "dataset": "Sports-1M", "metric": "Video hit@5", "model": "P3D", "row": 7, "task": "Action Recognition In Videos", "value": "87.4" } ] } ]
1711.10378v2
[ { "index": 2, "records": [ { "column": 3, "dataset": "Market-1501", "metric": "MAP", "model": "PSE+ ECN (rank-dist)", "row": 25, "task": "Person Re-Identification", "value": "84" }, { "column": 4, "dataset": "Market-1501", "metric": "Rank-1", "model": "PSE+ ECN (rank-dist)", "row": 25, "task": "Person Re-Identification", "value": "90.3" }, { "column": 5, "dataset": "DukeMTMC-reID", "metric": "MAP", "model": "PSE+ ECN (rank-dist)", "row": 25, "task": "Person Re-Identification", "value": "79.8" }, { "column": 6, "dataset": "DukeMTMC-reID", "metric": "Rank-1", "model": "PSE+ ECN (rank-dist)", "row": 25, "task": "Person Re-Identification", "value": "85.2" }, { "column": 7, "dataset": "MARS", "metric": "mAP", "model": "PSE+ ECN (rank-dist)", "row": 25, "task": "Person Re-Identification", "value": "71.8" }, { "column": 8, "dataset": "MARS", "metric": "Rank-1", "model": "PSE+ ECN (rank-dist)", "row": 25, "task": "Person Re-Identification", "value": "76.7" } ] } ]
1711.11152v2
[ { "index": 3, "records": [ { "column": 1, "dataset": "UCF101", "metric": "3-fold Accuracy", "model": "Optical Flow Guided Feature", "row": 15, "task": "Action Recognition In Videos", "value": "96" }, { "column": 2, "dataset": "HMDB-51", "metric": "Average accuracy of 3 splits", "model": "Optical Flow Guided Feature", "row": 15, "task": "Action Recognition In Videos", "value": "74.2" } ] } ]
1711.11231v1
[ { "index": 2, "records": [ { "column": 1, "dataset": "FB15k", "metric": "MRR", "model": "Rule-Guided Embedding", "row": 9, "task": "Link Prediction", "value": "0.768" }, { "column": 3, "dataset": "FB15k", "metric": "Hits@1", "model": "Rule-Guided Embedding", "row": 9, "task": "Link Prediction", "value": "0.703" }, { "column": 4, "dataset": "FB15k", "metric": "Hits@3", "model": "Rule-Guided Embedding", "row": 9, "task": "Link Prediction", "value": "0.815" }, { "column": 5, "dataset": "FB15k", "metric": "Hits@5", "model": "Rule-Guided Embedding", "row": 9, "task": "Link Prediction", "value": "0.836" }, { "column": 6, "dataset": "FB15k", "metric": "Hits@10", "model": "Rule-Guided Embedding", "row": 9, "task": "Link Prediction", "value": "0.865" }, { "column": 7, "dataset": "YAGO37", "metric": "MRR", "model": "Rule-Guided Embedding", "row": 9, "task": "Link Prediction", "value": "0.431" }, { "column": 9, "dataset": "YAGO37", "metric": "Hits@1", "model": "Rule-Guided Embedding", "row": 9, "task": "Link Prediction", "value": "0.34" }, { "column": 10, "dataset": "YAGO37", "metric": "Hits@3", "model": "Rule-Guided Embedding", "row": 9, "task": "Link Prediction", "value": "0.48200000000000004" }, { "column": 11, "dataset": "YAGO37", "metric": "Hits@5", "model": "Rule-Guided Embedding", "row": 9, "task": "Link Prediction", "value": "0.541" }, { "column": 12, "dataset": "YAGO37", "metric": "Hits@10", "model": "Rule-Guided Embedding", "row": 9, "task": "Link Prediction", "value": "0.603" } ] } ]
1711.11343v4
[ { "index": 2, "records": [ { "column": 4, "dataset": "AATLD Gesture Recognition", "metric": "Absolute Time (ms)", "model": "MUSE", "row": 21, "task": "Time Series Classification", "value": "133656" } ] } ]
1712.01938v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "Multi-THUMOS", "metric": "mAP", "model": "Super-events", "row": 8, "task": "Action Detection", "value": "36.4" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "Charades", "metric": "mAP", "model": "Super-events", "row": 11, "task": "Action Detection", "value": "19.41" } ] } ]
1712.02294v4
[ { "index": 1, "records": [ { "column": 3, "dataset": "KITTI Cars Easy", "metric": "AP", "model": "AVOD + Feature Pyramid", "row": 6, "task": "3D Object Detection", "value": "81.94" }, { "column": 4, "dataset": "KITTI Cars Moderate", "metric": "AP", "model": "AVOD + Feature Pyramid", "row": 6, "task": "3D Object Detection", "value": "71.88" }, { "column": 5, "dataset": "KITTI Cars Hard", "metric": "AP", "model": "AVOD + Feature Pyramid", "row": 6, "task": "3D Object Detection", "value": "66.38" }, { "column": 3, "dataset": "KITTI Pedestrians Easy", "metric": "AP", "model": "AVOD + Feature Pyramid", "row": 10, "task": "3D Object Detection", "value": "50.8" }, { "column": 4, "dataset": "KITTI Pedestrians Moderate", "metric": "AP", "model": "AVOD + Feature Pyramid", "row": 10, "task": "3D Object Detection", "value": "42.81" }, { "column": 5, "dataset": "KITTI Pedestrians Hard", "metric": "AP", "model": "AVOD + Feature Pyramid", "row": 10, "task": "3D Object Detection", "value": "40.88" }, { "column": 3, "dataset": "KITTI Cyclists Easy", "metric": "AP", "model": "AVOD + Feature Pyramid", "row": 14, "task": "3D Object Detection", "value": "64.0" }, { "column": 4, "dataset": "KITTI Cyclists Moderate", "metric": "AP", "model": "AVOD + Feature Pyramid", "row": 14, "task": "3D Object Detection", "value": "52.18" }, { "column": 5, "dataset": "KITTI Cyclists Hard", "metric": "AP", "model": "AVOD + Feature Pyramid", "row": 14, "task": "3D Object Detection", "value": "46.61" } ] } ]
1712.03563v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "PTC", "metric": "Accuracy", "model": "DGCNN", "row": 11, "task": "Graph Classification", "value": "65.43" }, { "column": 2, "dataset": "AIDS", "metric": "Accuracy", "model": "DGCNN", "row": 11, "task": "Graph Classification", "value": "65.1" }, { "column": 3, "dataset": "PROTEINS", "metric": "Accuracy", "model": "DGCNN", "row": 11, "task": "Graph Classification", "value": "75.1" }, { "column": 4, "dataset": "D&D", "metric": "Accuracy", "model": "DGCNN", "row": 11, "task": "Graph Classification", "value": "77.21" }, { "column": 5, "dataset": "COLLAB", "metric": "Accuracy", "model": "DGCNN", "row": 11, "task": "Graph Classification", "value": "68.34" } ] } ]
1712.06316v4
[ { "index": 0, "records": [ { "column": 8, "dataset": "UPenn Action", "metric": "Mean [email protected]", "model": "LSTM PM", "row": 8, "task": "Pose Estimation", "value": "97.7" } ] }, { "index": 1, "records": [ { "column": 8, "dataset": "J-HMDB", "metric": "Mean [email protected]", "model": "LSTM PM", "row": 7, "task": "Pose Estimation", "value": "93.6" } ] } ]
1712.09926v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "OMNIGLOT - 1-Shot, 5-way", "metric": "Accuracy", "model": "adaCNN (DF)", "row": 9, "task": "Few-Shot Image Classification", "value": "98.42" }, { "column": 2, "dataset": "OMNIGLOT - 5-Shot, 5-way", "metric": "Accuracy", "model": "adaCNN (DF)", "row": 9, "task": "Few-Shot Image Classification", "value": "99.37" }, { "column": 3, "dataset": "OMNIGLOT - 1-Shot, 20-way", "metric": "Accuracy", "model": "adaCNN (DF)", "row": 9, "task": "Few-Shot Image Classification", "value": "96.12" }, { "column": 4, "dataset": "OMNIGLOT - 5-Shot, 20-way", "metric": "Accuracy", "model": "adaCNN (DF)", "row": 9, "task": "Few-Shot Image Classification", "value": "98.43" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "Mini-Imagenet 5-way (1-shot)", "metric": "Accuracy", "model": "adaResNet (DF)", "row": 10, "task": "Few-Shot Image Classification", "value": "56.88" }, { "column": 2, "dataset": "Mini-Imagenet 5-way (5-shot)", "metric": "Accuracy", "model": "adaResNet (DF)", "row": 10, "task": "Few-Shot Image Classification", "value": "71.94" } ] } ]
1712.10136v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "Chalearn 2014", "metric": "Accuracy", "model": "3D-CNN + LSTM", "row": 3, "task": "Gesture Recognition", "value": "93.2" } ] } ]
1801.01315v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "ICDAR 2015", "metric": "Recall", "model": "PixelLink+VGG16 2s", "row": 1, "task": "Scene Text Detection", "value": "82" }, { "column": 2, "dataset": "ICDAR 2015", "metric": "Precision", "model": "PixelLink+VGG16 2s", "row": 1, "task": "Scene Text Detection", "value": "85.5" }, { "column": 3, "dataset": "ICDAR 2015", "metric": "F-Measure", "model": "PixelLink+VGG16 2s", "row": 1, "task": "Scene Text Detection", "value": "83.7" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "MSRA-TD500", "metric": "Recall", "model": "PixelLink + VGG16 2s", "row": 1, "task": "Scene Text Detection", "value": "73.2" }, { "column": 2, "dataset": "MSRA-TD500", "metric": "Precision", "model": "PixelLink + VGG16 2s", "row": 1, "task": "Scene Text Detection", "value": "83" }, { "column": 3, "dataset": "MSRA-TD500", "metric": "F-Measure", "model": "PixelLink + VGG16 2s", "row": 1, "task": "Scene Text Detection", "value": "77.8" } ] }, { "index": 2, "records": [ { "column": 1, "dataset": "ICDAR 2013", "metric": "Recall", "model": "PixelLink+VGG16 2s MS", "row": 3, "task": "Scene Text Detection", "value": "87.5" }, { "column": 2, "dataset": "ICDAR 2013", "metric": "Precision", "model": "PixelLink+VGG16 2s MS", "row": 3, "task": "Scene Text Detection", "value": "88.6" }, { "column": 3, "dataset": "ICDAR 2013", "metric": "F-Measure", "model": "PixelLink+VGG16 2s MS", "row": 3, "task": "Scene Text Detection", "value": "88.1" } ] } ]
1801.01671v2
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1801.02765v3
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1801.02852v2
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1801.04503v2
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1801.05558v3
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1801.06146v5
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1801.07372v2
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1801.08284v2
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1801.09242v1
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1801.09969v1
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1802.04364v4
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1802.04407v2
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1802.05365v2
[ { "index": 7, "records": [ { "column": 1, "dataset": "SNLI", "metric": "% Test Accuracy", "model": "450D DR-BiLSTM Ensemble", "row": 8, "task": "Natural Language Inference", "value": "89.3" } ] } ]
1802.05766v1
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1802.08797v2
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1802.08948v2
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1802.09298v2
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1803.00933v1
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13, "task": "Atari Games", "value": "800.9" }, { "column": 1, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "Ape-X", "row": 14, "task": "Atari Games", "value": "12974" }, { "column": 1, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "Ape-X", "row": 15, "task": "Atari Games", "value": "721851" }, { "column": 1, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "Ape-X", "row": 16, "task": "Atari Games", "value": "320426" }, { "column": 1, "dataset": "Atari 2600 Defender", "metric": "Score", "model": "Ape-X", "row": 17, "task": "Atari Games", "value": "411943.5" }, { "column": 1, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "Ape-X", "row": 18, "task": "Atari Games", "value": "133086.4" }, { "column": 1, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "Ape-X", "row": 19, "task": "Atari Games", "value": "23.5" }, { "column": 1, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "Ape-X", 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"task": "Atari Games", "value": "33" }, { "column": 1, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "Ape-X", "row": 28, "task": "Atari Games", "value": "21322.5" }, { "column": 1, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "Ape-X", "row": 29, "task": "Atari Games", "value": "1416" }, { "column": 1, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "Ape-X", "row": 30, "task": "Atari Games", "value": "11741.4" }, { "column": 1, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "Ape-X", "row": 31, "task": "Atari Games", "value": "97829.5" }, { "column": 1, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "Ape-X", "row": 32, "task": "Atari Games", "value": "2500" }, { "column": 1, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "Ape-X", "row": 33, "task": "Atari Games", "value": "11255.2" }, { "column": 1, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "Ape-X", "row": 34, "task": "Atari Games", "value": "25783.3" }, { "column": 1, "dataset": "Atari 2600 Phoenix", "metric": "Score", "model": "Ape-X", "row": 35, "task": "Atari Games", "value": "224491.1" }, { "column": 1, "dataset": "Atari 2600 Pitfall!", "metric": "Score", "model": "Ape-X", "row": 36, "task": "Atari Games", "value": "-0.6" }, { "column": 1, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "Ape-X", "row": 37, "task": "Atari Games", "value": "20.9" }, { "column": 1, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "Ape-X", "row": 38, "task": "Atari Games", "value": "49.8" }, { "column": 1, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "Ape-X", "row": 39, "task": "Atari Games", "value": "302391.3" }, { "column": 1, "dataset": "Atari 2600 River Raid", "metric": "Score", "model": "Ape-X", "row": 40, "task": "Atari Games", "value": "63864.4" }, { "column": 1, "dataset": "Atari 2600 Road Runner", "metric": "Score", "model": "Ape-X", "row": 41, "task": "Atari Games", "value": "222234.5" }, { "column": 1, "dataset": "Atari 2600 Robotank", "metric": "Score", "model": "Ape-X", "row": 42, "task": "Atari Games", "value": "73.8" }, { "column": 1, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "Ape-X", "row": 43, "task": "Atari Games", "value": "392952.3" }, { "column": 1, "dataset": "Atari 2600 Skiing", "metric": "Score", "model": "Ape-X", "row": 44, "task": "Atari Games", "value": "-10789.9" }, { "column": 1, "dataset": "Atari 2600 Solaris", "metric": "Score", "model": "Ape-X", "row": 45, "task": "Atari Games", "value": "2892.9" }, { "column": 1, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "Ape-X", "row": 46, "task": "Atari Games", "value": "54681" }, { "column": 1, "dataset": "Atari 2600 Star Gunner", "metric": "Score", "model": "Ape-X", "row": 47, "task": "Atari Games", "value": "434342.5" }, { "column": 1, "dataset": "Atari 2600 Surround", "metric": "Score", "model": "Ape-X", "row": 48, "task": "Atari Games", "value": "7.1" }, { "column": 1, "dataset": "Atari 2600 Tennis", "metric": "Score", "model": "Ape-X", "row": 49, "task": "Atari Games", "value": "23.9" }, { "column": 1, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "Ape-X", "row": 50, "task": "Atari Games", "value": "87085" }, { "column": 1, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "Ape-X", "row": 51, "task": "Atari Games", "value": "272.6" }, { "column": 1, "dataset": "Atari 2600 Up and Down", "metric": "Score", "model": "Ape-X", "row": 52, "task": "Atari Games", "value": "401884.3" }, { "column": 1, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "Ape-X", "row": 53, "task": "Atari Games", "value": "1813" }, { "column": 1, "dataset": "Atari 2600 Video Pinball", "metric": "Score", "model": "Ape-X", "row": 54, "task": "Atari Games", "value": "565163.2" }, { "column": 1, "dataset": "Atari 2600 Wizard of Wor", "metric": "Score", "model": "Ape-X", "row": 55, "task": "Atari Games", "value": "46204" }, { "column": 1, "dataset": "Atari 2600 Yars Revenge", "metric": "Score", "model": "Ape-X", "row": 56, "task": "Atari Games", "value": "148594.8" }, { "column": 1, "dataset": "Atari 2600 Zaxxon", "metric": "Score", "model": "Ape-X", "row": 57, "task": "Atari Games", "value": "42285.5" } ] } ]
1803.02735v1
[ { "index": 1, "records": [ { "column": 2, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "D-DBPN", "row": 21, "task": "Image Super-Resolution", "value": "32.47" }, { "column": 3, "dataset": "Set5 - 4x upscaling", "metric": "SSIM", "model": "D-DBPN", "row": 21, "task": "Image Super-Resolution", "value": "0.898" }, { "column": 4, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "D-DBPN", "row": 21, "task": "Image Super-Resolution", "value": "28.82" }, { "column": 6, "dataset": "BSD100 - 4x upscaling", "metric": "PSNR", "model": "D-DBPN", "row": 21, "task": "Image Super-Resolution", "value": "27.72" }, { "column": 7, "dataset": "BSD100 - 4x upscaling", "metric": "SSIM", "model": "D-DBPN", "row": 21, "task": "Image Super-Resolution", "value": "0.74" }, { "column": 9, "dataset": "Urban100 - 4x upscaling", "metric": "SSIM", "model": "D-DBPN", "row": 21, "task": "Image Super-Resolution", "value": "0.795" }, { "column": 11, "dataset": "Manga109 - 4x upscaling", "metric": "SSIM", "model": "D-DBPN", "row": 21, "task": "Image Super-Resolution", "value": "0.914" } ] } ]
1803.02999v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "Mini-Imagenet 5-way (1-shot)", "metric": "Accuracy", "model": "Reptile + Transduction", "row": 4, "task": "Few-Shot Image Classification", "value": "49.97" }, { "column": 2, "dataset": "Mini-Imagenet 5-way (5-shot)", "metric": "Accuracy", "model": "Reptile + Transduction", "row": 4, "task": "Few-Shot Image Classification", "value": "65.99" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "OMNIGLOT - 1-Shot, 5-way", "metric": "Accuracy", "model": "Reptile + Transduction", "row": 4, "task": "Few-Shot Image Classification", "value": "97.68" }, { "column": 2, "dataset": "OMNIGLOT - 5-Shot, 5-way", "metric": "Accuracy", "model": "Reptile + Transduction", "row": 4, "task": "Few-Shot Image Classification", "value": "99.48" }, { "column": 3, "dataset": "OMNIGLOT - 1-Shot, 20-way", "metric": "Accuracy", "model": "Reptile + Transduction", "row": 4, "task": "Few-Shot Image Classification", "value": "89.43" }, { "column": 4, "dataset": "OMNIGLOT - 5-Shot, 20-way", "metric": "Accuracy", "model": "Reptile + Transduction", "row": 4, "task": "Few-Shot Image Classification", "value": "97.12" } ] } ]
1803.03467v4
[ { "index": 2, "records": [ { "column": 1, "dataset": "MovieLens 1M", "metric": "AUC", "model": "RippleNet", "row": 2, "task": "Click-Through Rate Prediction", "value": "0.921" }, { "column": 2, "dataset": "MovieLens 1M", "metric": "Accuracy", "model": "RippleNet", "row": 2, "task": "Click-Through Rate Prediction", "value": "84.4" }, { "column": 3, "dataset": "Book-Crossing", "metric": "AUC", "model": "RippleNet", "row": 2, "task": "Click-Through Rate Prediction", "value": "0.729" }, { "column": 4, "dataset": "Book-Crossing", "metric": "Accuracy", "model": "RippleNet", "row": 2, "task": "Click-Through Rate Prediction", "value": "66.2" }, { "column": 5, "dataset": "Bing News", "metric": "AUC", "model": "RippleNet", "row": 2, "task": "Click-Through Rate Prediction", "value": "0.678" }, { "column": 6, "dataset": "Bing News", "metric": "Accuracy", "model": "RippleNet", "row": 2, "task": "Click-Through Rate Prediction", "value": "63.2" } ] } ]
1803.06316v6
[ { "index": 4, "records": [ { "column": 1, "dataset": "Multi-THUMOS", "metric": "mAP", "model": "TGM", "row": 10, "task": "Action Detection", "value": "46.4" } ] }, { "index": 5, "records": [ { "column": 1, "dataset": "Charades", "metric": "mAP", "model": "TGM", "row": 15, "task": "Action Detection", "value": "22.3" } ] } ]
1803.07828v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "AKSW-bib", "metric": "Hits@1", "model": "KG2Vec LSTM", "row": 1, "task": "Link Prediction", "value": "0.0384" }, { "column": 2, "dataset": "AKSW-bib", "metric": "Hits@3", "model": "KG2Vec LSTM", "row": 1, "task": "Link Prediction", "value": "0.0979" }, { "column": 3, "dataset": "AKSW-bib", "metric": "Hits@10", "model": "KG2Vec LSTM", "row": 1, "task": "Link Prediction", "value": "0.1923" } ] } ]
1803.11365v1
[ { "index": 1, "records": [ { "column": 21, "dataset": "Clipart1k", "metric": "MAP", "model": "DT+PL", "row": 13, "task": "Weakly Supervised Object Detection", "value": "46.0" } ] }, { "index": 3, "records": [ { "column": 7, "dataset": "Watercolor2k", "metric": "MAP", "model": "DT+PL", "row": 11, "task": "Weakly Supervised Object Detection", "value": "54.3" } ] }, { "index": 4, "records": [ { "column": 7, "dataset": "Comic2k", "metric": "MAP", "model": "DT+PL", "row": 11, "task": "Weakly Supervised Object Detection", "value": "37.2" } ] } ]
1804.00175v4
[ { "index": 3, "records": [ { "column": 6, "dataset": "LineMOD", "metric": "Mean ADD", "model": "PoseCNN + DeepIM", "row": 2, "task": "6D Pose Estimation using RGB", "value": "88.6" } ] }, { "index": 5, "records": [ { "column": 4, "dataset": "Occlusion LineMOD", "metric": "Mean ADD", "model": "PoseCNN + DeepIM", "row": 10, "task": "6D Pose Estimation using RGB", "value": "55.5" } ] }, { "index": 7, "records": [ { "column": 3, "dataset": "YCB-Video", "metric": "Mean ADD", "model": "PoseCNN + DeepIM", "row": 24, "task": "6D Pose Estimation using RGB", "value": "70.1" }, { "column": 4, "dataset": "YCB-Video", "metric": "Mean ADI", "model": "PoseCNN + DeepIM", "row": 24, "task": "6D Pose Estimation using RGB", "value": "84.2" }, { "column": 7, "dataset": "YCB-Video", "metric": "Mean ADD", "model": "PoseCNN + DeepIM", "row": 24, "task": "6D Pose Estimation using RGBD", "value": "80.6" }, { "column": 8, "dataset": "YCB-Video", "metric": "Mean ADI", "model": "PoseCNN + DeepIM", "row": 24, "task": "6D Pose Estimation using RGBD", "value": "92.4" } ] } ]
1804.00413v1
[ { "index": 3, "records": [ { "column": 1, "dataset": "HMDB51", "metric": "Accuracy", "model": "TVNet + IDT", "row": 12, "task": "Action Classification", "value": "72.6" }, { "column": 2, "dataset": "UCF101", "metric": "Accuracy", "model": "TVNet + IDT", "row": 12, "task": "Action Recognition In Videos", "value": "95.4" } ] } ]
1804.00880v1
[ { "index": 2, "records": [ { "column": 1, "dataset": "PASCAL VOC 2012 val", "metric": "mIoU", "model": "PRM", "row": 6, "task": "Semantic Segmentation", "value": "53.4" } ] } ]
1804.01005v1
[ { "index": 1, "records": [ { "column": 4, "dataset": "AFLW", "metric": "Mean NME", "model": "3DDFA", "row": 18, "task": "Face Alignment", "value": "4.55" }, { "column": 9, "dataset": "AFLW2000-3D", "metric": "Mean NME ", "model": "3DDFA", "row": 18, "task": "Face Alignment", "value": "3.79" } ] }, { "index": 2, "records": [ { "column": 3, "dataset": "300W", "metric": "Fullset (public)", "model": "3DDFA", "row": 9, "task": "Face Alignment", "value": "5.63" } ] } ]
1804.02690v2
[ { "index": 1, "records": [ { "column": 1, "dataset": "ICDAR 2013", "metric": "Recall", "model": "Corner-based Region Proposals", "row": 11, "task": "Scene Text Detection", "value": "83.9" }, { "column": 2, "dataset": "ICDAR 2013", "metric": "Precision", "model": "Corner-based Region Proposals", "row": 11, "task": "Scene Text Detection", "value": "91.9" }, { "column": 3, "dataset": "ICDAR 2013", "metric": "F-Measure", "model": "Corner-based Region Proposals", "row": 11, "task": "Scene Text Detection", "value": "87.6%" } ] }, { "index": 2, "records": [ { "column": 1, "dataset": "ICDAR 2015", "metric": "Recall", "model": "Corner-based Region Proposals", "row": 12, "task": "Scene Text Detection", "value": "80.7" }, { "column": 2, "dataset": "ICDAR 2015", "metric": "Precision", "model": "Corner-based Region Proposals", "row": 12, "task": "Scene Text Detection", "value": "88.7" }, { "column": 3, "dataset": "ICDAR 2015", "metric": "F-Measure", "model": "Corner-based Region Proposals", "row": 12, "task": "Scene Text Detection", "value": "84.5" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "COCO-Text", "metric": "Recall", "model": "Corner-based Region Proposals", "row": 7, "task": "Scene Text Detection", "value": "63.3" }, { "column": 2, "dataset": "COCO-Text", "metric": "Precision", "model": "Corner-based Region Proposals", "row": 7, "task": "Scene Text Detection", "value": "55.5" }, { "column": 3, "dataset": "COCO-Text", "metric": "F-Measure", "model": "Corner-based Region Proposals", "row": 7, "task": "Scene Text Detection", "value": "59.1" } ] } ]
1804.02740v1
[ { "index": 0, "records": [ { "column": 2, "dataset": "MORPH", "metric": "MAE", "model": "CMAAE-OR", "row": 2, "task": "Age Estimation", "value": "1.48" }, { "column": 2, "dataset": "FGNET", "metric": "MAE", "model": "CMAAE-OR", "row": 3, "task": "Age Estimation", "value": "3.62" } ] } ]
1804.03675v1
[ { "index": 0, "records": [ { "column": 5, "dataset": "Labeled Faces in the Wild", "metric": "Accuracy", "model": "VGG + GANFaces", "row": 6, "task": "Face Verification", "value": "94.9" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "IJB-A", "metric": "TAR @ FAR=0.01", "model": "VGG + GANFaces", "row": 5, "task": "Face Verification", "value": "0.53507" }, { "column": 2, "dataset": "IJB-A", "metric": "TAR @ FAR=0.001", "model": "VGG + GANFaces", "row": 5, "task": "Face Verification", "value": "0.18768" } ] } ]
1804.04610v1
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1804.06208v2
[ { "index": 3, "records": [ { "column": 3, "dataset": "COCO test-dev", "metric": "AP", "model": "Flow-based (ResNet-152)", "row": 10, "task": "Pose Estimation", "value": "73.7" }, { "column": 4, "dataset": "COCO test-dev", "metric": "AP50", "model": "Flow-based (ResNet-152)", "row": 10, "task": "Pose Estimation", "value": "91.9" }, { "column": 5, "dataset": "COCO test-dev", "metric": "AP75", "model": "Flow-based (ResNet-152)", "row": 10, "task": "Pose Estimation", "value": "81.1" }, { "column": 6, "dataset": "COCO test-dev", "metric": "APM", "model": "Flow-based (ResNet-152)", "row": 10, "task": "Pose Estimation", "value": "70.3" }, { "column": 7, "dataset": "COCO test-dev", "metric": "APL", "model": "Flow-based (ResNet-152)", "row": 10, "task": "Pose Estimation", "value": "80" }, { "column": 8, "dataset": "COCO test-dev", "metric": "AR", "model": "Flow-based (ResNet-152)", "row": 10, "task": "Pose Estimation", "value": "79" } ] } ]
1804.07187v2
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1804.09458v1
[ { "index": 1, "records": [ { "column": 2, "dataset": "Mini-Imagenet 5-way (5-shot)", "metric": "Accuracy", "model": "Cosine similarity function + C64F feature extractor", "row": 8, "task": "Few-Shot Image Classification", "value": "72.81" }, { "column": 5, "dataset": "Mini-Imagenet 5-way (1-shot)", "metric": "Accuracy", "model": "Cosine similarity function + C64F feature extractor", "row": 8, "task": "Few-Shot Image Classification", "value": "56.20" } ] } ]
1805.01890v2
[ { "index": 0, "records": [ { "column": 2, "dataset": "WOS-5736", "metric": "Accuracy", "model": "RMDL (30 RDLs)", "row": 13, "task": "Document Classification", "value": "93.57" }, { "column": 3, "dataset": "WOS-11967", "metric": "Accuracy", "model": "RMDL (30 RDLs)", "row": 13, "task": "Document Classification", "value": "91.59" }, { "column": 4, "dataset": "WOS-46985", "metric": "Accuracy", "model": "RMDL (30 RDLs)", "row": 13, "task": "Document Classification", "value": "82.42" }, { "column": 5, "dataset": "Reuters-21578", "metric": "Accuracy", "model": "RMDL (30 RDLs)", "row": 13, "task": "Document Classification", "value": "90.69" } ] }, { "index": 1, "records": [ { "column": 2, "dataset": "MNIST", "metric": "Percentage error", "model": "RMDL (30 RDLs)", "row": 9, "task": "Image Classification", "value": "0.18" }, { "column": 3, "dataset": "CIFAR-10", "metric": "Percentage correct", "model": "RMDL (30 RDLs)", "row": 9, "task": "Image Classification", "value": "91.21" } ] }, { "index": 2, "records": [ { "column": 2, "dataset": "IMDb", "metric": "Accuracy", "model": "RMDL (15 RDLs)", "row": 10, "task": "Text Classification", "value": "90.79" }, { "column": 3, "dataset": "20NEWS", "metric": "Accuracy", "model": "RMDL (15 RDLs)", "row": 10, "task": "Text Classification", "value": "87.91" } ] } ]
1805.04095v1
[ { "index": 0, "records": [ { "column": 3, "dataset": "Human3.6M", "metric": "Average MPJPE (mm)", "model": "Ordinal Depth Supervision", "row": 3, "task": "3D Human Pose Estimation", "value": "115.08" } ] }, { "index": 3, "records": [ { "column": 14, "dataset": "Human3.6M", "metric": "Average MPJPE (mm)", "model": "Ours", "row": 13, "task": "3D Human Pose Estimation", "value": "44.7" } ] } ]
1805.04836v1
[ { "index": 0, "records": [ { "column": 3, "dataset": "Now You're Cooking!", "metric": "Perplexity", "model": "Entity Type Model", "row": 7, "task": "Recipe Generation", "value": "9.67" } ] }, { "index": 1, "records": [ { "column": 3, "dataset": "Android Repos", "metric": "Perplexity", "model": "Entity Type Model", "row": 10, "task": "Code Generation", "value": "2.65" } ] } ]
1805.05388v1
[ { "index": 3, "records": [ { "column": 3, "dataset": "MR", "metric": "Accuracy", "model": "byte mLSTM7", "row": 13, "task": "Sentiment Analysis", "value": "86.8" }, { "column": 4, "dataset": "CR", "metric": "Accuracy", "model": "byte mLSTM7", "row": 13, "task": "Sentiment Analysis", "value": "90.6" }, { "column": 5, "dataset": "SUBJ", "metric": "Accuracy", "model": "byte mLSTM7", "row": 13, "task": "Subjectivity Analysis", "value": "94.7" }, { "column": 6, "dataset": "MPQA", "metric": "Accuracy", "model": "byte mLSTM7", "row": 13, "task": "Sentiment Analysis", "value": "88.8" }, { "column": 7, "dataset": "TREC-6", "metric": "Error", "model": "byte mLSTM7", "row": 13, "task": "Text Classification", "value": "9.6" }, { "column": 8, "dataset": "SST-2 Binary classification", "metric": "Accuracy", "model": "byte mLSTM7", "row": 13, "task": "Sentiment Analysis", "value": "91.7" }, { "column": 9, "dataset": "SST-5 Fine-grained classification", "metric": "Accuracy", "model": "byte mLSTM7", "row": 13, "task": "Sentiment Analysis", "value": "54.6" }, { "column": 10, "dataset": "IMDb", "metric": "Accuracy", "model": "byte mLSTM7", "row": 13, "task": "Text Classification", "value": "92.2" } ] } ]
1805.07071v2
[ { "index": 0, "records": [ { "column": 8, "dataset": "Set12 sigma15", "metric": "PSNR", "model": "MWCNN", "row": 1, "task": "Grayscale Image Denoising", "value": "33.15" }, { "column": 8, "dataset": "Set12 sigma25", "metric": "PSNR", "model": "MWCNN", "row": 2, "task": "Grayscale Image Denoising", "value": "30.79" }, { "column": 8, "dataset": "Set12 sigma50", "metric": "PSNR", "model": "MWCNN", "row": 3, "task": "Grayscale Image Denoising", "value": "27.74" }, { "column": 8, "dataset": "BSD68 sigma15", "metric": "PSNR", "model": "MWCNN", "row": 4, "task": "Grayscale Image Denoising", "value": "31.86" }, { "column": 8, "dataset": "BSD68 sigma25", "metric": "PSNR", "model": "MWCNN", "row": 5, "task": "Grayscale Image Denoising", "value": "29.41" }, { "column": 8, "dataset": "BSD68 sigma50", "metric": "PSNR", "model": "MWCNN", "row": 6, "task": "Grayscale Image Denoising", "value": "26.53" }, { "column": 8, "dataset": "Urban100 sigma15", "metric": "PSNR", "model": "MWCNN", "row": 7, "task": "Grayscale Image Denoising", "value": "33.17" }, { "column": 8, "dataset": "Urban100 sigma25", "metric": "PSNR", "model": "MWCNN", "row": 8, "task": "Grayscale Image Denoising", "value": "30.66" }, { "column": 8, "dataset": "Urban100 sigma50", "metric": "PSNR", "model": "MWCNN", "row": 9, "task": "Grayscale Image Denoising", "value": "27.42" } ] }, { "index": 1, "records": [ { "column": 11, "dataset": "Set5 - 2x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 1, "task": "Image Super-Resolution", "value": "37.91" }, { "column": 11, "dataset": "Set5 - 3x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 2, "task": "Image Super-Resolution", "value": "34.17" }, { "column": 11, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 3, "task": "Image Super-Resolution", "value": "32.12" }, { "column": 11, "dataset": "Set14 - 2x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 4, "task": "Image Super-Resolution", "value": "33.7" }, { "column": 11, "dataset": "Set14 - 3x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 5, "task": "Image Super-Resolution", "value": "30.16" }, { "column": 11, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 6, "task": "Image Super-Resolution", "value": "28.41" }, { "column": 11, "dataset": "BSD100 - 2x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 7, "task": "Image Super-Resolution", "value": "32.23" }, { "column": 11, "dataset": "BSD100 - 3x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 8, "task": "Image Super-Resolution", "value": "29.12" }, { "column": 11, "dataset": "BSD100 - 4x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 9, "task": "Image Super-Resolution", "value": "27.62" }, { "column": 11, "dataset": "Urban100 - 2x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 10, "task": "Image Super-Resolution", "value": "32.3" }, { "column": 11, "dataset": "Urban100 - 3x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 11, "task": "Image Super-Resolution", "value": "28.13" }, { "column": 11, "dataset": "Urban100 - 4x upscaling", "metric": "PSNR", "model": "MWCNN", "row": 12, "task": "Image Super-Resolution", "value": "26.27" } ] }, { "index": 2, "records": [ { "column": 7, "dataset": "Classic5 Quality 10", "metric": "PSNR", "model": "MWCNN", "row": 1, "task": "Image Compression Artifact Reduction", "value": "30.01" }, { "column": 7, "dataset": "Classic5 Quality 20", "metric": "PSNR", "model": "MWCNN", "row": 2, "task": "Image Compression Artifact Reduction", "value": "32.16" }, { "column": 7, "dataset": "Classic5 Quality 30", "metric": "PSNR", "model": "MWCNN", "row": 3, "task": "Image Compression Artifact Reduction", "value": "33.43" }, { "column": 7, "dataset": "Classic5 Quality 40", "metric": "PSNR", "model": "MWCNN", "row": 4, "task": "Image Compression Artifact Reduction", "value": "34.27" }, { "column": 7, "dataset": "LIVE1 Quality 10", "metric": "PSNR", "model": "MWCNN", "row": 5, "task": "Image Compression Artifact Reduction", "value": "29.69" }, { "column": 7, "dataset": "LIVE1 Quality 20", "metric": "PSNR", "model": "MWCNN", "row": 6, "task": "Image Compression Artifact Reduction", "value": "32.04" }, { "column": 7, "dataset": "LIVE1 Quality 30", "metric": "PSNR", "model": "MWCNN", "row": 7, "task": "Image Compression Artifact Reduction", "value": "33.45" }, { "column": 7, "dataset": "LIVE1 Quality 40", "metric": "PSNR", "model": "MWCNN", "row": 8, "task": "Image Compression Artifact Reduction", "value": "34.45" } ] } ]
1805.07550v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "Something-Something V2", "metric": "Top-1 Accuracy", "model": "DIN", "row": 7, "task": "Action Recognition In Videos", "value": "34.11" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "Jester", "metric": "Val", "model": "DIN", "row": 8, "task": "Action Recognition In Videos", "value": "95.31" } ] } ]
1805.07932v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "VQA v2 test-dev", "metric": "Accuracy", "model": "BAN+Glove+Counter", "row": 7, "task": "Visual Question Answering", "value": "70.04" }, { "column": 5, "dataset": "VQA v2 test-std", "metric": "Accuracy", "model": "BAN+Glove+Counter", "row": 7, "task": "Visual Question Answering", "value": "70.35" } ] }, { "index": 3, "records": [ { "column": 2, "dataset": "Flickr30k Entities Test", "metric": "R@1", "model": "BAN (Bottom-Up detector)", "row": 11, "task": "Phrase Grounding", "value": "69.69" }, { "column": 3, "dataset": "Flickr30k Entities Test", "metric": "R@5", "model": "BAN (Bottom-Up detector)", "row": 11, "task": "Phrase Grounding", "value": "84.22" }, { "column": 4, "dataset": "Flickr30k Entities Test", "metric": "R@10", "model": "BAN (Bottom-Up detector)", "row": 11, "task": "Phrase Grounding", "value": "86.35" } ] } ]
1805.09821v1
[ { "index": 3, "records": [ { "column": 2, "dataset": "MLDoc Zero-Shot English-to-German", "metric": "Accuracy", "model": "MultiCCA + CNN", "row": 4, "task": "Cross-Lingual Document Classification", "value": "81.2" }, { "column": 4, "dataset": "MLDoc Zero-Shot English-to-Spanish", "metric": "Accuracy", "model": "MultiCCA + CNN", "row": 4, "task": "Cross-Lingual Document Classification", "value": "72.5" }, { "column": 5, "dataset": "MLDoc Zero-Shot English-to-French", "metric": "Accuracy", "model": "MultiCCA + CNN", "row": 4, "task": "Cross-Lingual Document Classification", "value": "72.38" }, { "column": 6, "dataset": "MLDoc Zero-Shot English-to-Italian", "metric": "Accuracy", "model": "MultiCCA + CNN", "row": 4, "task": "Cross-Lingual Document Classification", "value": "69.38" }, { "column": 7, "dataset": "MLDoc Zero-Shot English-to-Russian", "metric": "Accuracy", "model": "MultiCCA + CNN", "row": 4, "task": "Cross-Lingual Document Classification", "value": "60.8" }, { "column": 8, "dataset": "MLDoc Zero-Shot English-to-Chinese", "metric": "Accuracy", "model": "MultiCCA + CNN", "row": 4, "task": "Cross-Lingual Document Classification", "value": "74.73" }, { "column": 9, "dataset": "MLDoc Zero-Shot English-to-Japanese", "metric": "Accuracy", "model": "MultiCCA + CNN", "row": 4, "task": "Cross-Lingual Document Classification", "value": "67.63" }, { "column": 5, "dataset": "MLDoc Zero-Shot German-to-French", "metric": "Accuracy", "model": "BiLSTM (Europarl)", "row": 12, "task": "Cross-Lingual Document Classification", "value": "75.45" }, { "column": 2, "dataset": "MLDoc Zero-Shot English-to-German", "metric": "Accuracy", "model": "BiLSTM (Europarl)", "row": 13, "task": "Cross-Lingual Document Classification", "value": "71.83" }, { "column": 4, "dataset": "MLDoc Zero-Shot English-to-Spanish", "metric": "Accuracy", "model": "BiLSTM (Europarl)", "row": 13, "task": "Cross-Lingual Document Classification", "value": "66.65" }, { "column": 5, "dataset": "MLDoc Zero-Shot English-to-French", "metric": "Accuracy", "model": "BiLSTM (Europarl)", "row": 13, "task": "Cross-Lingual Document Classification", "value": "72.83" }, { "column": 6, "dataset": "MLDoc Zero-Shot English-to-Italian", "metric": "Accuracy", "model": "BiLSTM (Europarl)", "row": 13, "task": "Cross-Lingual Document Classification", "value": "60.73" }, { "column": 4, "dataset": "MLDoc Zero-Shot English-to-Spanish", "metric": "Accuracy", "model": "BiLSTM (UN)", "row": 18, "task": "Cross-Lingual Document Classification", "value": "69.5" }, { "column": 5, "dataset": "MLDoc Zero-Shot English-to-French", "metric": "Accuracy", "model": "BiLSTM (UN)", "row": 18, "task": "Cross-Lingual Document Classification", "value": "74.52" }, { "column": 7, "dataset": "MLDoc Zero-Shot English-to-Russian", "metric": "Accuracy", "model": "BiLSTM (UN)", "row": 18, "task": "Cross-Lingual Document Classification", "value": "61.42" }, { "column": 8, "dataset": "MLDoc Zero-Shot English-to-Chinese", "metric": "Accuracy", "model": "BiLSTM (UN)", "row": 18, "task": "Cross-Lingual Document Classification", "value": "71.97" } ] } ]
1805.09843v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "Yahoo! Answers", "metric": "Accuracy", "model": "SWEM-concat", "row": 10, "task": "Text Classification", "value": "73.53" }, { "column": 2, "dataset": "AG News", "metric": "Error", "model": "SWEM-concat", "row": 10, "task": "Text Classification", "value": "7.34" }, { "column": 5, "dataset": "DBpedia", "metric": "Error", "model": "SWEM-concat", "row": 10, "task": "Text Classification", "value": "1.43" }, { "column": 3, "dataset": "Yelp Binary classification", "metric": "Error", "model": "SWEM-hier", "row": 11, "task": "Sentiment Analysis", "value": "4.19" }, { "column": 4, "dataset": "Yelp Fine-grained classification", "metric": "Error", "model": "SWEM-hier", "row": 11, "task": "Sentiment Analysis", "value": "36.21" } ] }, { "index": 4, "records": [ { "column": 1, "dataset": "SNLI", "metric": "% Test Accuracy", "model": "SWEM-max", "row": 6, "task": "Natural Language Inference", "value": "83.8" }, { "column": 2, "dataset": "MultiNLI", "metric": "Matched", "model": "SWEM-max", "row": 6, "task": "Natural Language Inference", "value": "68.2" }, { "column": 3, "dataset": "MultiNLI", "metric": "Mismatched", "model": "SWEM-max", "row": 6, "task": "Natural Language Inference", "value": "67.7" }, { "column": 4, "dataset": "WikiQA", "metric": "MAP", "model": "SWEM-concat", "row": 7, "task": "Question Answering", "value": "0.6788" }, { "column": 5, "dataset": "WikiQA", "metric": "MRR", "model": "SWEM-concat", "row": 7, "task": "Question Answering", "value": "0.6908" }, { "column": 6, "dataset": "Quora Question Pairs", "metric": "Accuracy", "model": "SWEM-concat", "row": 7, "task": "Question Answering", "value": "83.03" }, { "column": 7, "dataset": "MSRP", "metric": "Accuracy", "model": "SWEM-concat", "row": 7, "task": "Paraphrase Identification", "value": "71.5" }, { "column": 8, "dataset": "MSRP", "metric": "F1", "model": "SWEM-concat", "row": 7, "task": "Paraphrase Identification", "value": "81.3" } ] }, { "index": 7, "records": [ { "column": 5, "dataset": "TREC-6", "metric": "Error", "model": "SWEM-aver", "row": 9, "task": "Text Classification", "value": "7.8" }, { "column": 1, "dataset": "MR", "metric": "Accuracy", "model": "SWEM-concat", "row": 11, "task": "Sentiment Analysis", "value": "78.2" }, { "column": 2, "dataset": "SST-5 Fine-grained classification", "metric": "Accuracy", "model": "SWEM-concat", "row": 11, "task": "Sentiment Analysis", "value": "46.1" }, { "column": 3, "dataset": "SST-2 Binary classification", "metric": "Accuracy", "model": "SWEM-concat", "row": 11, "task": "Sentiment Analysis", "value": "84.3" }, { "column": 4, "dataset": "SUBJ", "metric": "Accuracy", "model": "SWEM-concat", "row": 11, "task": "Subjectivity Analysis", "value": "93" } ] }, { "index": 9, "records": [ { "column": 1, "dataset": "CoNLL 2000", "metric": "F1", "model": "SWEM-CRF", "row": 3, "task": "Named Entity Recognition", "value": "90.34" }, { "column": 2, "dataset": "CoNLL 2003 (English)", "metric": "F1", "model": "SWEM-CRF", "row": 3, "task": "Named Entity Recognition", "value": "86.28" } ] } ]
1805.10123v4
[ { "index": 0, "records": [ { "column": 1, "dataset": "Mini-Imagenet 5-way (1-shot)", "metric": "Accuracy", "model": "TADAM", "row": 9, "task": "Few-Shot Image Classification", "value": "58.5" }, { "column": 2, "dataset": "Mini-Imagenet 5-way (5-shot)", "metric": "Accuracy", "model": "TADAM", "row": 9, "task": "Few-Shot Image Classification", "value": "76.7" }, { "column": 3, "dataset": "Mini-Imagenet 5-way (10-shot)", "metric": "Accuracy", "model": "TADAM", "row": 9, "task": "Few-Shot Image Classification", "value": "80.8" } ] } ]
1806.01363v2
[ { "index": 0, "records": [ { "column": 5, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "IDVQ + DRSC + XNES", "row": 1, "task": "Atari Games", "value": "325" }, { "column": 5, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "IDVQ + DRSC + XNES", "row": 2, "task": "Atari Games", "value": "-10" }, { "column": 5, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "IDVQ + DRSC + XNES", "row": 3, "task": "Atari Games", "value": "300" }, { "column": 5, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "IDVQ + DRSC + XNES", "row": 4, "task": "Atari Games", "value": "1200" }, { "column": 5, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "IDVQ + DRSC + XNES", "row": 5, "task": "Atari Games", "value": "920" }, { "column": 5, "dataset": "Atari 2600 Phoenix", "metric": "Score", "model": "IDVQ + DRSC + XNES", "row": 6, "task": "Atari Games", "value": "4600" }, { "column": 5, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "IDVQ + DRSC + XNES", "row": 7, "task": "Atari Games", "value": "1250" }, { "column": 5, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "IDVQ + DRSC + XNES", "row": 8, "task": "Atari Games", "value": "320" }, { "column": 5, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "IDVQ + DRSC + XNES", "row": 9, "task": "Atari Games", "value": "830" }, { "column": 5, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "IDVQ + DRSC + XNES", "row": 10, "task": "Atari Games", "value": "4600" } ] } ]
1806.02559v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "ICDAR 2015", "metric": "Precision", "model": "PSENet-1s", "row": 20, "task": "Scene Text Detection", "value": "88.71" }, { "column": 2, "dataset": "ICDAR 2015", "metric": "Recall", "model": "PSENet-1s", "row": 20, "task": "Scene Text Detection", "value": "85.51" }, { "column": 3, "dataset": "ICDAR 2015", "metric": "F-Measure", "model": "PSENet-1s", "row": 20, "task": "Scene Text Detection", "value": "87.08" }, { "column": 5, "dataset": "ICDAR 2017 MLT", "metric": "Precision", "model": "PSENet-1s", "row": 20, "task": "Scene Text Detection", "value": "77.01" }, { "column": 6, "dataset": "ICDAR 2017 MLT", "metric": "Recall", "model": "PSENet-1s", "row": 20, "task": "Scene Text Detection", "value": "68.4" }, { "column": 7, "dataset": "ICDAR 2017 MLT", "metric": "F-Measure", "model": "PSENet-1s", "row": 20, "task": "Scene Text Detection", "value": "72.45" }, { "column": 8, "dataset": "SCUT-CTW1500", "metric": "Precision", "model": "PSENet-1s", "row": 20, "task": "Scene Text Detection", "value": "82.5" }, { "column": 9, "dataset": "SCUT-CTW1500", "metric": "Recall", "model": "PSENet-1s", "row": 20, "task": "Scene Text Detection", "value": "79.89" }, { "column": 10, "dataset": "SCUT-CTW1500", "metric": "F-Measure", "model": "PSENet-1s", "row": 20, "task": "Scene Text Detection", "value": "81.17" } ] } ]
1806.02919v2
[ { "index": 1, "records": [ { "column": 1, "dataset": "Darmstadt Noise Dataset", "metric": "PSNR", "model": "NLRN", "row": 6, "task": "Denoising", "value": "30.8" } ] }, { "index": 3, "records": [ { "column": 7, "dataset": "Set12 sigma15", "metric": "PSNR", "model": "NLRN", "row": 1, "task": "Grayscale Image Denoising", "value": "33.16" }, { "column": 7, "dataset": "Set12 sigma30", "metric": "PSNR", "model": "NLRN", "row": 2, "task": "Grayscale Image Denoising", "value": "30.8" }, { "column": 7, "dataset": "Set12 sigma50", "metric": "PSNR", "model": "NLRN", "row": 3, "task": "Grayscale Image Denoising", "value": "27.64" }, { "column": 7, "dataset": "BSD68 sigma15", "metric": "PSNR", "model": "NLRN", "row": 4, "task": "Grayscale Image Denoising", "value": "31.88" }, { "column": 7, "dataset": "BSD68 sigma25", "metric": "PSNR", "model": "NLRN", "row": 5, "task": "Grayscale Image Denoising", "value": "29.41" }, { "column": 7, "dataset": "BSD68 sigma50", "metric": "PSNR", "model": "NLRN", "row": 6, "task": "Grayscale Image Denoising", "value": "26.47" }, { "column": 7, "dataset": "Urban100 sigma15", "metric": "PSNR", "model": "NLRN", "row": 7, "task": "Grayscale Image Denoising", "value": "33.45" }, { "column": 7, "dataset": "Urban100 sigma25", "metric": "PSNR", "model": "NLRN", "row": 8, "task": "Grayscale Image Denoising", "value": "30.94" }, { "column": 7, "dataset": "Urban100 sigma50", "metric": "PSNR", "model": "NLRN", "row": 9, "task": "Grayscale Image Denoising", "value": "27.49" } ] }, { "index": 4, "records": [ { "column": 7, "dataset": "BSD200 sigma30", "metric": "PSNR", "model": "NLRN-MV", "row": 4, "task": "Grayscale Image Denoising", "value": "28.2" }, { "column": 7, "dataset": "BSD200 sigma50", "metric": "PSNR", "model": "NLRN-MV", "row": 5, "task": "Grayscale Image Denoising", "value": "25.97" }, { "column": 7, "dataset": "BSD200 sigma70", "metric": "PSNR", "model": "NLRN-MV", "row": 6, "task": "Grayscale Image Denoising", "value": "24.62" } ] }, { "index": 5, "records": [ { "column": 8, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "NLRN", "row": 3, "task": "Image Super-Resolution", "value": "31.92" }, { "column": 8, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "NLRN", "row": 6, "task": "Image Super-Resolution", "value": "28.36" }, { "column": 8, "dataset": "Urban100 - 4x upscaling", "metric": "PSNR", "model": "NLRN", "row": 12, "task": "Image Super-Resolution", "value": "25.79" } ] } ]
1806.02960v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "Freebase FIGER", "metric": "P@1", "model": "TextEnt-full", "row": 1, "task": "Entity Typing", "value": "93.2" }, { "column": 2, "dataset": "Freebase FIGER", "metric": "BEP", "model": "TextEnt-full", "row": 1, "task": "Entity Typing", "value": "94.8" }, { "column": 3, "dataset": "Freebase FIGER", "metric": "Accuracy", "model": "TextEnt-full", "row": 1, "task": "Entity Typing", "value": "37.4" }, { "column": 4, "dataset": "Freebase FIGER", "metric": "Micro F1", "model": "TextEnt-full", "row": 1, "task": "Entity Typing", "value": "85.7" }, { "column": 5, "dataset": "Freebase FIGER", "metric": "Macro F1", "model": "TextEnt-full", "row": 1, "task": "Entity Typing", "value": "84.2" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "20NEWS", "metric": "Accuracy", "model": "TextEnt-full", "row": 2, "task": "Text Classification", "value": "84.5" }, { "column": 2, "dataset": "20NEWS", "metric": "F1", "model": "TextEnt-full", "row": 2, "task": "Text Classification", "value": "83.9" }, { "column": 3, "dataset": "R8", "metric": "Accuracy", "model": "TextEnt-full", "row": 2, "task": "Text Classification", "value": "96.7" }, { "column": 4, "dataset": "R8", "metric": "F1", "model": "TextEnt-full", "row": 2, "task": "Text Classification", "value": "91" } ] } ]
1806.02964v3
[ { "index": 0, "records": [ { "column": 5, "dataset": "ActivityNet-1.3", "metric": "AR@100", "model": "BSN", "row": 1, "task": "Temporal Action Proposal Generation", "value": "74.16" }, { "column": 5, "dataset": "ActivityNet-1.3", "metric": "AUC (val)", "model": "BSN", "row": 2, "task": "Temporal Action Proposal Generation", "value": "66.17" }, { "column": 5, "dataset": "ActivityNet-1.3", "metric": "AUC (test)", "model": "BSN", "row": 3, "task": "Temporal Action Proposal Generation", "value": "66.26" } ] }, { "index": 1, "records": [ { "column": 2, "dataset": "THUMOS' 14", "metric": "AR@50", "model": "BSN + Soft-NMS", "row": 10, "task": "Temporal Action Proposal Generation", "value": "37.46" }, { "column": 3, "dataset": "THUMOS' 14", "metric": "AR@100", "model": "BSN + Soft-NMS", "row": 10, "task": "Temporal Action Proposal Generation", "value": "46.06" }, { "column": 4, "dataset": "THUMOS' 14", "metric": "AR@200", "model": "BSN + Soft-NMS", "row": 10, "task": "Temporal Action Proposal Generation", "value": "53.21" }, { "column": 5, "dataset": "THUMOS' 14", "metric": "AR@500", "model": "BSN + Soft-NMS", "row": 10, "task": "Temporal Action Proposal Generation", "value": "60.64" }, { "column": 6, "dataset": "THUMOS' 14", "metric": "AR@1000", "model": "BSN + Soft-NMS", "row": 10, "task": "Temporal Action Proposal Generation", "value": "64.52" } ] }, { "index": 4, "records": [ { "column": 1, "dataset": "ActivityNet-1.3", "metric": "mAP [email protected]", "model": "BSN", "row": 8, "task": "Temporal Action Localization", "value": "46.45" }, { "column": 1, "dataset": "ActivityNet-1.3", "metric": "mAP [email protected]", "model": "BSN", "row": 8, "task": "Temporal Action Localization", "value": "46.45" }, { "column": 2, "dataset": "ActivityNet-1.3", "metric": "mAP [email protected]", "model": "BSN", "row": 8, "task": "Temporal Action Localization", "value": "29.96" }, { "column": 3, "dataset": "ActivityNet-1.3", "metric": "mAP [email protected]", "model": "BSN", "row": 8, "task": "Temporal Action Localization", "value": "8.02" }, { "column": 4, "dataset": "ActivityNet-1.3", "metric": "mAP", "model": "BSN", "row": 8, "task": "Temporal Action Localization", "value": "30.03" } ] }, { "index": 5, "records": [ { "column": 4, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "BSN", "row": 17, "task": "Temporal Action Localization", "value": "29.4" }, { "column": 2, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "BSN UNet", "row": 18, "task": "Temporal Action Localization", "value": "20" }, { "column": 3, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "BSN UNet", "row": 18, "task": "Temporal Action Localization", "value": "28.4" }, { "column": 4, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "BSN UNet", "row": 18, "task": "Temporal Action Localization", "value": "36.9" }, { "column": 5, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "BSN UNet", "row": 18, "task": "Temporal Action Localization", "value": "45" }, { "column": 6, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "BSN UNet", "row": 18, "task": "Temporal Action Localization", "value": "53.5" } ] } ]
1806.04734v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "Mini-Imagenet 5-way (1-shot)", "metric": "Accuracy", "model": "Delta-encoder", "row": 11, "task": "Few-Shot Image Classification", "value": "59.9" }, { "column": 2, "dataset": "CIFAR100 5-way (1-shot)", "metric": "Accuracy", "model": "Delta-encoder", "row": 11, "task": "Few-Shot Image Classification", "value": "66.7" }, { "column": 3, "dataset": "Caltech-256 5-way (1-shot)", "metric": "Accuracy", "model": "Delta-encoder", "row": 11, "task": "Few-Shot Image Classification", "value": "73.2" }, { "column": 4, "dataset": "CUB 200 5-way 1-shot", "metric": "Accuracy", "model": "Delta-encoder", "row": 11, "task": "Few-Shot Image Classification", "value": "69.8" } ] } ]
1806.05635v1
[ { "index": 4, "records": [ { "column": 3, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "A2C + SIL", "row": 1, "task": "Atari Games", "value": "2242.2" }, { "column": 3, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "A2C + SIL", "row": 2, "task": "Atari Games", "value": "1362" }, { "column": 3, "dataset": "Atari 2600 Assault", "metric": "Score", "model": "A2C + SIL", "row": 3, "task": "Atari Games", "value": "1812" }, { "column": 3, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "A2C + SIL", "row": 4, "task": "Atari Games", "value": "17984.2" }, { "column": 3, "dataset": "Atari 2600 Asteroids", "metric": "Score", "model": "A2C + SIL", "row": 5, "task": "Atari Games", "value": "2259.4" }, { "column": 3, "dataset": "Atari 2600 Atlantis", "metric": "Score", "model": "A2C + SIL", "row": 6, "task": "Atari Games", "value": "3084781.7" }, { "column": 3, "dataset": "Atari 2600 Bank Heist", "metric": "Score", "model": "A2C + SIL", "row": 7, "task": "Atari Games", "value": "1137.8" }, { "column": 3, "dataset": "Atari 2600 Battle Zone", "metric": "Score", "model": "A2C + SIL", "row": 8, "task": "Atari Games", "value": "25075" }, { "column": 3, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "A2C + SIL", "row": 9, "task": "Atari Games", "value": "2366.2" }, { "column": 3, "dataset": "Atari 2600 Bowling", "metric": "Score", "model": "A2C + SIL", "row": 10, "task": "Atari Games", "value": "31.1" }, { "column": 3, "dataset": "Atari 2600 Boxing", "metric": "Score", "model": "A2C + SIL", "row": 11, "task": "Atari Games", "value": "99.6" }, { "column": 3, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "A2C + SIL", "row": 12, "task": "Atari Games", "value": "452" }, { "column": 3, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "A2C + SIL", "row": 13, "task": "Atari Games", "value": "7559.5" }, { "column": 3, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "A2C + SIL", "row": 14, "task": "Atari Games", "value": "6710" }, { "column": 3, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "A2C + SIL", "row": 15, "task": "Atari Games", "value": "130185.8" }, { "column": 3, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "A2C + SIL", "row": 16, "task": "Atari Games", "value": "10140.5" }, { "column": 3, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "A2C + SIL", "row": 17, "task": "Atari Games", "value": "21.5" }, { "column": 3, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "A2C + SIL", "row": 18, "task": "Atari Games", "value": "1205.1" }, { "column": 3, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "A2C + SIL", "row": 19, "task": "Atari Games", "value": "55.8" }, { "column": 3, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "A2C + SIL", "row": 20, "task": "Atari Games", "value": "32.2" }, { "column": 3, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "A2C + SIL", "row": 21, "task": "Atari Games", "value": "6289.8" }, { "column": 3, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "A2C + SIL", "row": 22, "task": "Atari Games", "value": "23304.2" }, { "column": 3, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "A2C + SIL", "row": 23, "task": "Atari Games", "value": "1874.2" }, { "column": 3, "dataset": "Atari 2600 HERO", "metric": "Score", "model": "A2C + SIL", "row": 24, "task": "Atari Games", "value": "33156.7" }, { "column": 3, "dataset": "Atari 2600 Ice Hockey", "metric": "Score", "model": "A2C + SIL", "row": 25, "task": "Atari Games", "value": "-2.4" }, { "column": 3, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "A2C + SIL", "row": 26, "task": "Atari Games", "value": "310.8" }, { "column": 3, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "A2C + SIL", "row": 27, "task": "Atari Games", "value": "2888.3" }, { "column": 3, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "A2C + SIL", "row": 28, "task": "Atari Games", "value": "10614.6" }, { "column": 3, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "A2C + SIL", "row": 29, "task": "Atari Games", "value": "34449.2" }, { "column": 3, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "A2C + SIL", "row": 30, "task": "Atari Games", "value": "1100" }, { "column": 3, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "A2C + SIL", "row": 31, "task": "Atari Games", "value": "4025.1" }, { "column": 3, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "A2C + SIL", "row": 32, "task": "Atari Games", "value": "14958.2" }, { "column": 3, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "A2C + SIL", "row": 33, "task": "Atari Games", "value": "20.9" }, { "column": 3, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "A2C + SIL", "row": 34, "task": "Atari Games", "value": "661.2" }, { "column": 3, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "A2C + SIL", "row": 35, "task": "Atari Games", "value": "104975.6" }, { "column": 3, "dataset": "Atari 2600 River Raid", "metric": "Score", "model": "A2C + SIL", "row": 36, "task": "Atari Games", "value": "14306.1" }, { "column": 3, "dataset": "Atari 2600 Road Runner", "metric": "Score", "model": "A2C + SIL", "row": 37, "task": "Atari Games", "value": "57071.7" }, { "column": 3, "dataset": "Atari 2600 Robotank", "metric": "Score", "model": "A2C + SIL", "row": 38, "task": "Atari Games", "value": "10.5" }, { "column": 3, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "A2C + SIL", "row": 39, "task": "Atari Games", "value": "2456.5" }, { "column": 3, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "A2C + SIL", "row": 40, "task": "Atari Games", "value": "2951.7" }, { "column": 3, "dataset": "Atari 2600 Star Gunner", "metric": "Score", "model": "A2C + SIL", "row": 41, "task": "Atari Games", "value": "31309.2" }, { "column": 3, "dataset": "Atari 2600 Tennis", "metric": "Score", "model": "A2C + SIL", "row": 42, "task": "Atari Games", "value": "-17.3" }, { "column": 3, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "A2C + SIL", "row": 43, "task": "Atari Games", "value": "10811.7" }, { "column": 3, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "A2C + SIL", "row": 44, "task": "Atari Games", "value": "340.5" }, { "column": 3, "dataset": "Atari 2600 Up and Down", "metric": "Score", "model": "A2C + SIL", "row": 45, "task": "Atari Games", "value": "53314.6" }, { "column": 3, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "A2C + SIL", "row": 46, "task": "Atari Games", "value": "0" }, { "column": 3, "dataset": "Atari 2600 Video Pinball", "metric": "Score", "model": "A2C + SIL", "row": 47, "task": "Atari Games", "value": "461522.4" }, { "column": 3, "dataset": "Atari 2600 Wizard of Wor", "metric": "Score", "model": "A2C + SIL", "row": 48, "task": "Atari Games", "value": "7088.3" }, { "column": 3, "dataset": "Atari 2600 Zaxxon", "metric": "Score", "model": "A2C + SIL", "row": 49, "task": "Atari Games", "value": "9164.2" } ] } ]
1806.05653v3
[ { "index": 3, "records": [ { "column": 1, "dataset": "OUHANDS", "metric": "F-score", "model": "HGR-Net (Stage 1)", "row": 6, "task": "Hand Gesture Segmentation", "value": "0.963" } ] }, { "index": 4, "records": [ { "column": 1, "dataset": "HGR1", "metric": "F-score", "model": "HGR-Net (Stage 1)", "row": 8, "task": "Hand Gesture Segmentation", "value": "0.9825" } ] } ]
1806.05695v1
[ { "index": 3, "records": [ { "column": 9, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "CGP", "row": 1, "task": "Atari Games", "value": "1978" }, { "column": 9, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "CGP", "row": 2, "task": "Atari Games", "value": "199" }, { "column": 9, "dataset": "Atari 2600 Assault", "metric": "Score", "model": "CGP", "row": 3, "task": "Atari Games", "value": "890.4" }, { "column": 9, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "CGP", "row": 4, "task": "Atari Games", "value": "1880" }, { "column": 9, "dataset": "Atari 2600 Asteroids", "metric": "Score", "model": "CGP", "row": 5, "task": "Atari Games", "value": "9412" }, { "column": 9, "dataset": "Atari 2600 Atlantis", "metric": "Score", "model": "CGP", "row": 6, "task": "Atari Games", "value": "99240" }, { "column": 9, "dataset": "Atari 2600 Bank Heist", "metric": "Score", "model": "CGP", "row": 7, "task": "Atari Games", "value": "148" }, { "column": 9, "dataset": "Atari 2600 Battle Zone", "metric": "Score", "model": "CGP", "row": 8, "task": "Atari Games", "value": "34200" }, { "column": 9, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "CGP", "row": 9, "task": "Atari Games", "value": "1341.6" }, { "column": 9, "dataset": "Atari 2600 Berzerk", "metric": "Score", "model": "CGP", "row": 10, "task": "Atari Games", "value": "1138" }, { "column": 9, "dataset": "Atari 2600 Bowling", "metric": "Score", "model": "CGP", "row": 11, "task": "Atari Games", "value": "85.8" }, { "column": 9, "dataset": "Atari 2600 Boxing", "metric": "Score", "model": "CGP", "row": 12, "task": "Atari Games", "value": "38.4" }, { "column": 9, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "CGP", "row": 13, "task": "Atari Games", "value": "13.2" }, { "column": 9, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "CGP", "row": 14, "task": "Atari Games", "value": "24708" }, { "column": 9, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "CGP", "row": 15, "task": "Atari Games", "value": "3580" }, { "column": 9, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "CGP", "row": 16, "task": "Atari Games", "value": "12900" }, { "column": 9, "dataset": "Atari 2600 Defender", "metric": "Score", "model": "CGP", "row": 17, "task": "Atari Games", "value": "993010" }, { "column": 9, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "CGP", "row": 18, "task": "Atari Games", "value": "2387" }, { "column": 9, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "CGP", "row": 19, "task": "Atari Games", "value": "2" }, { "column": 9, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "CGP", "row": 20, "task": "Atari Games", "value": "56.8" }, { "column": 9, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "CGP", "row": 21, "task": "Atari Games", "value": "-51" }, { "column": 9, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "CGP", "row": 22, "task": "Atari Games", "value": "28.2" }, { "column": 9, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "CGP", "row": 23, "task": "Atari Games", "value": "782" }, { "column": 9, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "CGP", "row": 24, "task": "Atari Games", "value": "1696" }, { "column": 9, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "CGP", "row": 25, "task": "Atari Games", "value": "2350" }, { "column": 9, "dataset": "Atari 2600 HERO", "metric": "Score", "model": "CGP", "row": 26, "task": "Atari Games", "value": "2974" }, { "column": 9, "dataset": "Atari 2600 Ice Hockey", "metric": "Score", "model": "CGP", "row": 27, "task": "Atari Games", "value": "4" }, { "column": 9, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "CGP", "row": 28, "task": "Atari Games", "value": "6130" }, { "column": 9, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "CGP", "row": 29, "task": "Atari Games", "value": "1400" }, { "column": 9, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "CGP", "row": 30, "task": "Atari Games", "value": "9086.8" }, { "column": 9, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "CGP", "row": 31, "task": "Atari Games", "value": "57400" }, { "column": 9, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "CGP", "row": 32, "task": "Atari Games", "value": "0" }, { "column": 9, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "CGP", "row": 33, "task": "Atari Games", "value": "2568" }, { "column": 9, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "CGP", "row": 34, "task": "Atari Games", "value": "3696" }, { "column": 9, "dataset": "Atari 2600 Phoenix", "metric": "Score", "model": "CGP", "row": 35, "task": "Atari Games", "value": "7520" }, { "column": 9, "dataset": "Atari 2600 Pitfall!", "metric": "Score", "model": "CGP", "row": 36, "task": "Atari Games", "value": "0" }, { "column": 9, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "CGP", "row": 37, "task": "Atari Games", "value": "20" }, { "column": 9, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "CGP", "row": 38, "task": "Atari Games", "value": "12702.2" }, { "column": 9, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "CGP", "row": 39, "task": "Atari Games", "value": "770" }, { "column": 9, "dataset": "Atari 2600 River Raid", "metric": "Score", "model": "CGP", "row": 40, "task": "Atari Games", "value": "2914" }, { "column": 9, "dataset": "Atari 2600 Road Runner", "metric": "Score", "model": "CGP", "row": 41, "task": "Atari Games", "value": "8960" }, { "column": 9, "dataset": "Atari 2600 Robotank", "metric": "Score", "model": "CGP", "row": 42, "task": "Atari Games", "value": "24.2" }, { "column": 9, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "CGP", "row": 43, "task": "Atari Games", "value": "724" }, { "column": 9, "dataset": "Atari 2600 Skiing", "metric": "Score", "model": "CGP", "row": 44, "task": "Atari Games", "value": "-9011" }, { "column": 9, "dataset": "Atari 2600 Solaris", "metric": "Score", "model": "CGP", "row": 45, "task": "Atari Games", "value": "8324" }, { "column": 9, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "CGP", "row": 46, "task": "Atari Games", "value": "1001" }, { "column": 9, "dataset": "Atari 2600 Star Gunner", "metric": "Score", "model": "CGP", "row": 47, "task": "Atari Games", "value": "2320" }, { "column": 9, "dataset": "Atari 2600 Tennis", "metric": "Score", "model": "CGP", "row": 48, "task": "Atari Games", "value": "0" }, { "column": 9, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "CGP", "row": 49, "task": "Atari Games", "value": "12040" }, { "column": 9, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "CGP", "row": 50, "task": "Atari Games", "value": "0" }, { "column": 9, "dataset": "Atari 2600 Up and Down", "metric": "Score", "model": "CGP", "row": 51, "task": "Atari Games", "value": "14524" }, { "column": 9, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "CGP", "row": 52, "task": "Atari Games", "value": "0" }, { "column": 9, "dataset": "Atari 2600 Video Pinball", "metric": "Score", "model": "CGP", "row": 53, "task": "Atari Games", "value": "33752.4" }, { "column": 9, "dataset": "Atari 2600 Wizard of Wor", "metric": "Score", "model": "CGP", "row": 54, "task": "Atari Games", "value": "3820" }, { "column": 9, "dataset": "Atari 2600 Yars Revenge", "metric": "Score", "model": "CGP", "row": 55, "task": "Atari Games", "value": "28838.2" }, { "column": 9, "dataset": "Atari 2600 Zaxxon", "metric": "Score", "model": "CGP", "row": 56, "task": "Atari Games", "value": "2980" } ] } ]
1806.06157v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "VLOG", "metric": "MAP", "model": "Object Relation Network", "row": 3, "task": "Semantic Object Interaction Classification", "value": "44.7" } ] } ]
1806.06923v1
[ { "index": 2, "records": [ { "column": 6, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "IQN", "row": 1, "task": "Atari Games", "value": "7022" }, { "column": 6, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "IQN", "row": 2, "task": "Atari Games", "value": "2946" }, { "column": 6, "dataset": "Atari 2600 Assault", "metric": "Score", "model": "IQN", "row": 3, "task": "Atari Games", "value": "29091" }, { "column": 6, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "IQN", "row": 4, "task": "Atari Games", "value": "342016" }, { "column": 6, "dataset": "Atari 2600 Asteroids", "metric": "Score", "model": "IQN", "row": 5, "task": "Atari Games", "value": "2898" }, { "column": 6, "dataset": "Atari 2600 Atlantis", "metric": "Score", "model": "IQN", "row": 6, "task": "Atari Games", "value": "978200" }, { "column": 6, "dataset": "Atari 2600 Bank Heist", "metric": "Score", "model": "IQN", "row": 7, "task": "Atari Games", "value": "1416" }, { "column": 6, "dataset": "Atari 2600 Battle Zone", "metric": "Score", "model": "IQN", "row": 8, "task": "Atari Games", "value": "42244" }, { "column": 6, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "IQN", "row": 9, "task": "Atari Games", "value": "42776" }, { "column": 6, "dataset": "Atari 2600 Berzerk", "metric": "Score", "model": "IQN", "row": 10, "task": "Atari Games", "value": "1053" }, { "column": 6, "dataset": "Atari 2600 Bowling", "metric": "Score", "model": "IQN", "row": 11, "task": "Atari Games", "value": "86.5" }, { "column": 6, "dataset": "Atari 2600 Boxing", "metric": "Score", "model": "IQN", "row": 12, "task": "Atari Games", "value": "99.8" }, { "column": 6, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "IQN", "row": 13, "task": "Atari Games", "value": "734" }, { "column": 6, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "IQN", "row": 14, "task": "Atari Games", "value": "11561" }, { "column": 6, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "IQN", "row": 15, "task": "Atari Games", "value": "16836" }, { "column": 6, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "IQN", "row": 16, "task": "Atari Games", "value": "179082" }, { "column": 6, "dataset": "Atari 2600 Defender", "metric": "Score", "model": "IQN", "row": 17, "task": "Atari Games", "value": "53537" }, { "column": 6, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "IQN", "row": 18, "task": "Atari Games", "value": "128580" }, { "column": 6, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "IQN", "row": 19, "task": "Atari Games", "value": "5.6" }, { "column": 6, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "IQN", "row": 20, "task": "Atari Games", "value": "2359" }, { "column": 6, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "IQN", "row": 21, "task": "Atari Games", "value": "33.8" }, { "column": 6, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "IQN", "row": 22, "task": "Atari Games", "value": "34" }, { "column": 6, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "IQN", "row": 23, "task": "Atari Games", "value": "4324" }, { "column": 6, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "IQN", "row": 24, "task": "Atari Games", "value": "118365" }, { "column": 6, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "IQN", "row": 25, "task": "Atari Games", "value": "911" }, { "column": 6, "dataset": "Atari 2600 HERO", "metric": "Score", "model": "IQN", "row": 26, "task": "Atari Games", "value": "28386" }, { "column": 6, "dataset": "Atari 2600 Ice Hockey", "metric": "Score", "model": "IQN", "row": 27, "task": "Atari Games", "value": "0.2" }, { "column": 6, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "IQN", "row": 28, "task": "Atari Games", "value": "35108" }, { "column": 6, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "IQN", "row": 29, "task": "Atari Games", "value": "15487" }, { "column": 6, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "IQN", "row": 30, "task": "Atari Games", "value": "10707" }, { "column": 6, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "IQN", "row": 31, "task": "Atari Games", "value": "73512" }, { "column": 6, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "IQN", "row": 32, "task": "Atari Games", "value": "0" }, { "column": 6, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "IQN", "row": 33, "task": "Atari Games", "value": "6349" }, { "column": 6, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "IQN", "row": 34, "task": "Atari Games", "value": "22682" }, { "column": 6, "dataset": "Atari 2600 Phoenix", "metric": "Score", "model": "IQN", "row": 35, "task": "Atari Games", "value": "56599" }, { "column": 6, "dataset": "Atari 2600 Pitfall!", "metric": "Score", "model": "IQN", "row": 36, "task": "Atari Games", "value": "0" }, { "column": 6, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "IQN", "row": 37, "task": "Atari Games", "value": "21" }, { "column": 6, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "IQN", "row": 38, "task": "Atari Games", "value": "200" }, { "column": 6, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "IQN", "row": 39, "task": "Atari Games", "value": "25750" }, { "column": 6, "dataset": "Atari 2600 River Raid", "metric": "Score", "model": "IQN", "row": 40, "task": "Atari Games", "value": "17765" }, { "column": 6, "dataset": "Atari 2600 Road Runner", "metric": "Score", "model": "IQN", "row": 41, "task": "Atari Games", "value": "57900" }, { "column": 6, "dataset": "Atari 2600 Robotank", "metric": "Score", "model": "IQN", "row": 42, "task": "Atari Games", "value": "62.5" }, { "column": 6, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "IQN", "row": 43, "task": "Atari Games", "value": "30140" }, { "column": 6, "dataset": "Atari 2600 Skiing", "metric": "Score", "model": "IQN", "row": 44, "task": "Atari Games", "value": "-9289" }, { "column": 6, "dataset": "Atari 2600 Solaris", "metric": "Score", "model": "IQN", "row": 45, "task": "Atari Games", "value": "8007" }, { "column": 6, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "IQN", "row": 46, "task": "Atari Games", "value": "28888" }, { "column": 6, "dataset": "Atari 2600 Star Gunner", "metric": "Score", "model": "IQN", "row": 47, "task": "Atari Games", "value": "74677" }, { "column": 6, "dataset": "Atari 2600 Surround", "metric": "Score", "model": "IQN", "row": 48, "task": "Atari Games", "value": "9.4" }, { "column": 6, "dataset": "Atari 2600 Tennis", "metric": "Score", "model": "IQN", "row": 49, "task": "Atari Games", "value": "23.6" }, { "column": 6, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "IQN", "row": 50, "task": "Atari Games", "value": "12236" }, { "column": 6, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "IQN", "row": 51, "task": "Atari Games", "value": "293" }, { "column": 6, "dataset": "Atari 2600 Up and Down", "metric": "Score", "model": "IQN", "row": 52, "task": "Atari Games", "value": "88148" }, { "column": 6, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "IQN", "row": 53, "task": "Atari Games", "value": "1318" }, { "column": 6, "dataset": "Atari 2600 Video Pinball", "metric": "Score", "model": "IQN", "row": 54, "task": "Atari Games", "value": "698045" }, { "column": 6, "dataset": "Atari 2600 Wizard of Wor", "metric": "Score", "model": "IQN", "row": 55, "task": "Atari Games", "value": "31190" }, { "column": 6, "dataset": "Atari 2600 Yars Revenge", "metric": "Score", "model": "IQN", "row": 56, "task": "Atari Games", "value": "28379" }, { "column": 6, "dataset": "Atari 2600 Zaxxon", "metric": "Score", "model": "IQN", "row": 57, "task": "Atari Games", "value": "21772" } ] } ]
1806.07564v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "Mall", "metric": "Precision", "model": "Hausdorff Loss", "row": 1, "task": "Object Localization", "value": "95.2" }, { "column": 2, "dataset": "Mall", "metric": "Precision", "model": "Hausdorff Loss", "row": 1, "task": "Object Localization", "value": "99.5" }, { "column": 3, "dataset": "Mall", "metric": "Precision", "model": "Hausdorff Loss", "row": 1, "task": "Object Localization", "value": "88.1" }, { "column": 1, "dataset": "Pupil", "metric": "Recall", "model": "Hausdorff Loss", "row": 2, "task": "Object Localization", "value": "96.2" }, { "column": 2, "dataset": "Pupil", "metric": "Recall", "model": "Hausdorff Loss", "row": 2, "task": "Object Localization", "value": "99.5" }, { "column": 3, "dataset": "Pupil", "metric": "Recall", "model": "Hausdorff Loss", "row": 2, "task": "Object Localization", "value": "89.2" }, { "column": 1, "dataset": "Plant", "metric": "F-Score", "model": "Hausdorff Loss", "row": 3, "task": "Object Localization", "value": "95.7" }, { "column": 2, "dataset": "Plant", "metric": "F-Score", "model": "Hausdorff Loss", "row": 3, "task": "Object Localization", "value": "99.5" }, { "column": 3, "dataset": "Plant", "metric": "F-Score", "model": "Hausdorff Loss", "row": 3, "task": "Object Localization", "value": "88.6" } ] } ]
1806.08730v1
[ { "index": 1, "records": [ { "column": 4, "dataset": "MultiNLI", "metric": "Accuracy", "model": "MQAN", "row": 5, "task": "Natural Language Inference", "value": "72.8" } ] } ]
1806.08804v4
[ { "index": 0, "records": [ { "column": 2, "dataset": "ENZYMES", "metric": "Accuracy", "model": "GNN (DiffPool)", "row": 13, "task": "Graph Classification", "value": "62.53" }, { "column": 3, "dataset": "D&D", "metric": "Accuracy", "model": "GNN (DiffPool)", "row": 13, "task": "Graph Classification", "value": "80.64" }, { "column": 4, "dataset": "REDDIT-MULTI-12K", "metric": "Accuracy", "model": "GNN (DiffPool)", "row": 13, "task": "Graph Classification", "value": "47.08" }, { "column": 5, "dataset": "COLLAB", "metric": "Accuracy", "model": "GNN (DiffPool)", "row": 13, "task": "Graph Classification", "value": "75.48" }, { "column": 6, "dataset": "PROTEINS", "metric": "Accuracy", "model": "GNN (DiffPool)", "row": 13, "task": "Graph Classification", "value": "76.25" } ] }, { "index": 1, "records": [ { "column": 3, "dataset": "ENZYMES", "metric": "Accuracy", "model": "S2V (with 2 DiffPool)", "row": 2, "task": "Graph Classification", "value": "63.33" }, { "column": 3, "dataset": "D&D", "metric": "Accuracy", "model": "S2V (with 2 DiffPool)", "row": 3, "task": "Graph Classification", "value": "82.07" } ] } ]
1807.00442v4
[ { "index": 1, "records": [ { "column": 2, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "POP3D", "row": 1, "task": "Atari Games", "value": "1510.8" }, { "column": 2, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "POP3D", "row": 2, "task": "Atari Games", "value": "729.15" }, { "column": 2, "dataset": "Atari 2600 Assault", "metric": "Score", "model": "POP3D", "row": 3, "task": "Atari Games", "value": "5400.13" }, { "column": 2, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "POP3D", "row": 4, "task": "Atari Games", "value": "4310.67" }, { "column": 2, "dataset": "Atari 2600 Asteroids", "metric": "Score", "model": "POP3D", "row": 5, "task": "Atari Games", "value": "2488.1" }, { "column": 2, "dataset": "Atari 2600 Atlantis", "metric": "Score", "model": "POP3D", "row": 6, "task": "Atari Games", "value": "2193605.67" }, { "column": 2, "dataset": "Atari 2600 Bank Heist", "metric": "Score", "model": "POP3D", "row": 7, "task": "Atari Games", "value": "1212.23" }, { "column": 2, "dataset": "Atari 2600 Battle Zone", "metric": "Score", "model": "POP3D", "row": 8, "task": "Atari Games", "value": "15466.67" }, { "column": 2, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "POP3D", "row": 9, "task": "Atari Games", "value": "4549" }, { "column": 2, "dataset": "Atari 2600 Bowling", "metric": "Score", "model": "POP3D", "row": 10, "task": "Atari Games", "value": "38.99" }, { "column": 2, "dataset": "Atari 2600 Boxing", "metric": "Score", "model": "POP3D", "row": 11, "task": "Atari Games", "value": "97.23" }, { "column": 2, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "POP3D", "row": 12, "task": "Atari Games", "value": "458.41" }, { "column": 2, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "POP3D", "row": 13, "task": "Atari Games", "value": "3315.44" }, { "column": 2, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "POP3D", "row": 15, "task": "Atari Games", "value": "6308.33" }, { "column": 2, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "POP3D", "row": 16, "task": "Atari Games", "value": "120247.33" }, { "column": 2, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "POP3D", "row": 17, "task": "Atari Games", "value": "61147.33" }, { "column": 2, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "POP3D", "row": 18, "task": "Atari Games", "value": "-7.89" }, { "column": 2, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "POP3D", "row": 19, "task": "Atari Games", "value": "459.85" }, { "column": 2, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "POP3D", "row": 20, "task": "Atari Games", "value": "28.99" }, { "column": 2, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "POP3D", "row": 21, "task": "Atari Games", "value": "21.21" }, { "column": 2, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "POP3D", "row": 22, "task": "Atari Games", "value": "316.87" }, { "column": 2, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "POP3D", "row": 23, "task": "Atari Games", "value": "6207" }, { "column": 2, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "POP3D", "row": 24, "task": "Atari Games", "value": "557.17" }, { "column": 2, "dataset": "Atari 2600 Ice Hockey", "metric": "Score", "model": "POP3D", "row": 25, "task": "Atari Games", "value": "-4.12" }, { "column": 2, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "POP3D", "row": 26, "task": "Atari Games", "value": "358.54" }, { "column": 2, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "POP3D", "row": 27, "task": "Atari Games", "value": "3891.67" }, { "column": 2, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "POP3D", "row": 28, "task": "Atari Games", "value": "7715.68" }, { "column": 2, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "POP3D", "row": 29, "task": "Atari Games", "value": "33728" }, { "column": 2, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "POP3D", "row": 31, "task": "Atari Games", "value": "0" }, { "column": 2, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "POP3D", "row": 32, "task": "Atari Games", "value": "1683.87" }, { "column": 2, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "POP3D", "row": 33, "task": "Atari Games", "value": "6065.63" }, { "column": 2, "dataset": "Atari 2600 Pitfall!", "metric": "Score", "model": "POP3D", "row": 34, "task": "Atari Games", "value": "0" }, { "column": 2, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "POP3D", "row": 35, "task": "Atari Games", "value": "20.5" }, { "column": 2, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "POP3D", "row": 36, "task": "Atari Games", "value": "79.67" }, { "column": 2, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "POP3D", "row": 37, "task": "Atari Games", "value": "15396.67" }, { "column": 2, "dataset": "Atari 2600 River Raid", "metric": "Score", "model": "POP3D", "row": 38, "task": "Atari Games", "value": "8052.23" }, { "column": 2, "dataset": "Atari 2600 Road Runner", "metric": "Score", "model": "POP3D", "row": 39, "task": "Atari Games", "value": "44679.67" }, { "column": 2, "dataset": "Atari 2600 Robotank", "metric": "Score", "model": "POP3D", "row": 40, "task": "Atari Games", "value": "4.6" }, { "column": 2, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "POP3D", "row": 41, "task": "Atari Games", "value": "1807.47" }, { "column": 2, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "POP3D", "row": 42, "task": "Atari Games", "value": "1216.15" }, { "column": 2, "dataset": "Atari 2600 Star Gunner", "metric": "Score", "model": "POP3D", "row": 43, "task": "Atari Games", "value": "48984" }, { "column": 2, "dataset": "Atari 2600 Tennis", "metric": "Score", "model": "POP3D", "row": 44, "task": "Atari Games", "value": "-8.32" }, { "column": 2, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "POP3D", "row": 45, "task": "Atari Games", "value": "3770.33" }, { "column": 2, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "POP3D", "row": 46, "task": "Atari Games", "value": "241.21" }, { "column": 2, "dataset": "Atari 2600 Up and Down", "metric": "Score", "model": "POP3D", "row": 47, "task": "Atari Games", "value": "242701.51" }, { "column": 2, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "POP3D", "row": 48, "task": "Atari Games", "value": "36.33" }, { "column": 2, "dataset": "Atari 2600 Video Pinball", "metric": "Score", "model": "POP3D", "row": 49, "task": "Atari Games", "value": "37780.7" }, { "column": 2, "dataset": "Atari 2600 Wizard of Wor", "metric": "Score", "model": "POP3D", "row": 50, "task": "Atari Games", "value": "4704" }, { "column": 2, "dataset": "Atari 2600 Zaxxon", "metric": "Score", "model": "POP3D", "row": 51, "task": "Atari Games", "value": "9472" } ] }, { "index": 3, "records": [ { "column": 2, "dataset": "HalfCheetah", "metric": "Mean", "model": "POP3D", "row": 1, "task": "MuJoCo Games", "value": "3184.54" }, { "column": 2, "dataset": "Hopper", "metric": "Mean", "model": "POP3D", "row": 2, "task": "MuJoCo Games", "value": "1452.09" }, { "column": 2, "dataset": "InvertedDoublePendulum", "metric": "Mean", "model": "POP3D", "row": 3, "task": "MuJoCo Games", "value": "4907.64" }, { "column": 2, "dataset": "InvertedPendulum", "metric": "Mean", "model": "POP3D", "row": 4, "task": "MuJoCo Games", "value": "741.94" }, { "column": 2, "dataset": "Reacher", "metric": "Mean", "model": "POP3D", "row": 5, "task": "MuJoCo Games", "value": "-4.29" }, { "column": 2, "dataset": "Swimmer", "metric": "Mean", "model": "POP3D", "row": 6, "task": "MuJoCo Games", "value": "111.08" }, { "column": 2, "dataset": "Walker2d", "metric": "Mean", "model": "POP3D", "row": 7, "task": "MuJoCo Games", "value": "3966.01" } ] } ]
1807.01544v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "Total-Text", "metric": "Precision", "model": "TextSnake", "row": 4, "task": "Scene Text Detection", "value": "82.7" }, { "column": 2, "dataset": "Total-Text", "metric": "Recall", "model": "TextSnake", "row": 4, "task": "Scene Text Detection", "value": "74.5" }, { "column": 3, "dataset": "Total-Text", "metric": "F-Measure", "model": "TextSnake", "row": 4, "task": "Scene Text Detection", "value": "78.4%" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "SCUT-CTW1500", "metric": "Precision", "model": "TextSnake", "row": 6, "task": "Scene Text Detection", "value": "67.9" }, { "column": 2, "dataset": "SCUT-CTW1500", "metric": "Recall", "model": "TextSnake", "row": 6, "task": "Scene Text Detection", "value": "85.3" }, { "column": 3, "dataset": "SCUT-CTW1500", "metric": "F-Measure", "model": "TextSnake", "row": 6, "task": "Scene Text Detection", "value": "75.6" } ] }, { "index": 2, "records": [ { "column": 1, "dataset": "ICDAR 2015", "metric": "Precision", "model": "TextSnake", "row": 11, "task": "Scene Text Detection", "value": "84.9" }, { "column": 2, "dataset": "ICDAR 2015", "metric": "Recall", "model": "TextSnake", "row": 11, "task": "Scene Text Detection", "value": "80.4" }, { "column": 3, "dataset": "ICDAR 2015", "metric": "F-Measure", "model": "TextSnake", "row": 11, "task": "Scene Text Detection", "value": "82.6" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "MSRA-TD500", "metric": "Precision", "model": "TextSnake", "row": 9, "task": "Scene Text Detection", "value": "83.2" }, { "column": 2, "dataset": "MSRA-TD500", "metric": "Recall", "model": "TextSnake", "row": 9, "task": "Scene Text Detection", "value": "73.9" }, { "column": 3, "dataset": "MSRA-TD500", "metric": "F-Measure", "model": "TextSnake", "row": 9, "task": "Scene Text Detection", "value": "78.3" } ] } ]
1807.02242v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "ICDAR 2013", "metric": "Precision", "model": "Mask TextSpotter", "row": 11, "task": "Scene Text Detection", "value": "95" }, { "column": 2, "dataset": "ICDAR 2013", "metric": "Recall", "model": "Mask TextSpotter", "row": 11, "task": "Scene Text Detection", "value": "88.6" }, { "column": 3, "dataset": "ICDAR 2013", "metric": "F-Measure", "model": "Mask TextSpotter", "row": 11, "task": "Scene Text Detection", "value": "91.7" }, { "column": 5, "dataset": "ICDAR 2015", "metric": "Precision", "model": "Mask TextSpotter", "row": 11, "task": "Scene Text Detection", "value": "91.6" }, { "column": 6, "dataset": "ICDAR 2015", "metric": "Recall", "model": "Mask TextSpotter", "row": 11, "task": "Scene Text Detection", "value": "81" }, { "column": 7, "dataset": "ICDAR 2015", "metric": "F-Measure", "model": "Mask TextSpotter", "row": 11, "task": "Scene Text Detection", "value": "86" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "Total-Text", "metric": "Precision", "model": "Mask TextSpotter", "row": 4, "task": "Scene Text Detection", "value": "69" }, { "column": 2, "dataset": "Total-Text", "metric": "Recall", "model": "Mask TextSpotter", "row": 4, "task": "Scene Text Detection", "value": "55" }, { "column": 3, "dataset": "Total-Text", "metric": "F-Measure", "model": "Mask TextSpotter", "row": 4, "task": "Scene Text Detection", "value": "61.3" } ] } ]
1807.03756v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "IWSLT2014 German-English", "metric": "BLEU score", "model": "Variational Attention", "row": 10, "task": "Machine Translation", "value": "33.1" } ] } ]
1807.04686v2
[ { "index": 0, "records": [ { "column": 3, "dataset": "Darmstadt Noise Dataset", "metric": "PSNR (sRGB)", "model": "CBDNet (Blind)", "row": 15, "task": "Color Image Denoising", "value": "38.06" }, { "column": 4, "dataset": "Darmstadt Noise Dataset", "metric": "SSIM (sRGB)", "model": "CBDNet (Blind)", "row": 15, "task": "Color Image Denoising", "value": "0.9421" } ] } ]
1807.07258v2
[ { "index": 3, "records": [ { "column": 18, "dataset": "Office-31", "metric": "Average Accuracy", "model": "MEDA MEDA", "row": 14, "task": "Domain Adaptation", "value": "92.8" } ] } ]
1807.11622v4
[ { "index": 1, "records": [ { "column": 5, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "DQNMMCe", "row": 1, "task": "Atari Games", "value": "29.5" }, { "column": 5, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "DQNMMCe", "row": 2, "task": "Atari Games", "value": "1078.3" }, { "column": 7, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "DQNMMCe+SR", "row": 3, "task": "Atari Games", "value": "1778.6" }, { "column": 7, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "DQNMMCe+SR", "row": 4, "task": "Atari Games", "value": "99.1" }, { "column": 5, "dataset": "Atari 2600 Solaris", "metric": "Score", "model": "DQNMMCe", "row": 5, "task": "Atari Games", "value": "2244.6" }, { "column": 7, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "DQNMMCe+SR", "row": 6, "task": "Atari Games", "value": "1241.8" } ] } ]
1808.04122v3
[ { "index": 1, "records": [ { "column": 1, "dataset": "WN18RR", "metric": "MR", "model": "CapsE", "row": 9, "task": "Link Prediction", "value": "719.0" }, { "column": 2, "dataset": "WN18RR", "metric": "MRR", "model": "CapsE", "row": 9, "task": "Link Prediction", "value": "0.415" }, { "column": 3, "dataset": "WN18RR", "metric": "Hits@1", "model": "CapsE", "row": 9, "task": "Link Prediction", "value": "0.56" }, { "column": 4, "dataset": "FB15k-237", "metric": "MR", "model": "CapsE", "row": 9, "task": "Link Prediction", "value": "303.0" }, { "column": 5, "dataset": "FB15k-237", "metric": "MRR", "model": "CapsE", "row": 9, "task": "Link Prediction", "value": "0.523" }, { "column": 6, "dataset": "FB15k-237", "metric": "Hits@10", "model": "CapsE", "row": 9, "task": "Link Prediction", "value": "0.593" } ] } ]
1808.04355v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "Intrinsic Reward Agent", "row": 2, "task": "Atari Games", "value": "1165.1" }, { "column": 2, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "Intrinsic Reward Agent", "row": 2, "task": "Atari Games", "value": "32.8" }, { "column": 3, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "Intrinsic Reward Agent", "row": 2, "task": "Atari Games", "value": "416" }, { "column": 4, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "Intrinsic Reward Agent", "row": 2, "task": "Atari Games", "value": "3036.5" }, { "column": 5, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "Intrinsic Reward Agent", "row": 2, "task": "Atari Games", "value": "2504.6" } ] } ]
1808.09781v1
[ { "index": 2, "records": [ { "column": 10, "dataset": "Amazon Beauty", "metric": "Hit@10", "model": "SASRec", "row": 2, "task": "Recommendation Systems", "value": "0.4854" }, { "column": 10, "dataset": "Amazon Beauty", "metric": "nDCG@10", "model": "SASRec", "row": 3, "task": "Recommendation Systems", "value": "0.3219" }, { "column": 10, "dataset": "Amazon Games", "metric": "Hit@10", "model": "SASRec", "row": 4, "task": "Recommendation Systems", "value": "0.741" }, { "column": 10, "dataset": "Amazon Games", "metric": "nDCG@10", "model": "SASRec", "row": 5, "task": "Recommendation Systems", "value": "0.536" }, { "column": 10, "dataset": "Steam", "metric": "Hit@10", "model": "SASRec", "row": 6, "task": "Recommendation Systems", "value": "0.8729" }, { "column": 10, "dataset": "Steam", "metric": "nDCG@10", "model": "SASRec", "row": 7, "task": "Recommendation Systems", "value": "0.6306" }, { "column": 10, "dataset": "MovieLens 1M", "metric": "HR@10", "model": "SASRec", "row": 8, "task": "Recommendation Systems", "value": "0.8245" }, { "column": 10, "dataset": "MovieLens 1M", "metric": "nDCG@10", "model": "SASRec", "row": 9, "task": "Recommendation Systems", "value": "0.5905" } ] } ]
1809.00287v1
[ { "index": 1, "records": [ { "column": 1, "dataset": " CUB-200-2011", "metric": "Accuracy", "model": "NTS-Net (K = 4)", "row": 13, "task": "Fine-Grained Image Classification", "value": "87.5" } ] }, { "index": 2, "records": [ { "column": 1, "dataset": "FGVC Aircraft", "metric": "Accuracy", "model": "NTS-Net (K=4)", "row": 10, "task": "Fine-Grained Image Classification", "value": "91.4" }, { "column": 2, "dataset": "Stanford Cars", "metric": "Accuracy", "model": "NTS-Net (K=4)", "row": 10, "task": "Fine-Grained Image Classification", "value": "93.9" } ] } ]
1809.02206v1
[ { "index": 3, "records": [ { "column": 4, "dataset": "Autoturn", "metric": "Average Score", "model": "A2C (SF-GRU)", "row": 1, "task": "Space Fortress", "value": "-1641" }, { "column": 5, "dataset": "Autoturn", "metric": "Best Score", "model": "A2C (SF-GRU)", "row": 1, "task": "Space Fortress", "value": "-718" }, { "column": 6, "dataset": "Autoturn", "metric": "Fortress Death", "model": "A2C (SF-GRU)", "row": 1, "task": "Space Fortress", "value": "3" }, { "column": 4, "dataset": "Youturn", "metric": "Average Score", "model": "A2C (SF-GRU)", "row": 2, "task": "Space Fortress", "value": "-2444" }, { "column": 5, "dataset": "Youturn", "metric": "Best Score", "model": "A2C (SF-GRU)", "row": 2, "task": "Space Fortress", "value": "-1700" }, { "column": 6, "dataset": "Youturn", "metric": "Fortress Death", "model": "A2C (SF-GRU)", "row": 2, "task": "Space Fortress", "value": "11" }, { "column": 4, "dataset": "Autoturn", "metric": "Average Score", "model": "PPO (SF-FF)", "row": 3, "task": "Space Fortress", "value": "2337" }, { "column": 5, "dataset": "Autoturn", "metric": "Best Score", "model": "PPO (SF-FF)", "row": 3, "task": "Space Fortress", "value": "2818" }, { "column": 6, "dataset": "Autoturn", "metric": "Fortress Death", "model": "PPO (SF-FF)", "row": 3, "task": "Space Fortress", "value": "41" }, { "column": 4, "dataset": "Youturn", "metric": "Average Score", "model": "PPO (SF-FF)", "row": 4, "task": "Space Fortress", "value": "2235" }, { "column": 5, "dataset": "Youturn", "metric": "Best Score", "model": "PPO (SF-FF)", "row": 4, "task": "Space Fortress", "value": "2880" }, { "column": 6, "dataset": "Youturn", "metric": "Fortress Death", "model": "PPO (SF-FF)", "row": 4, "task": "Space Fortress", "value": "40" }, { "column": 4, "dataset": "Autoturn", "metric": "Average Score", "model": "PPO (SF-GRU)", "row": 5, "task": "Space Fortress", "value": "2510" }, { "column": 5, "dataset": "Autoturn", "metric": "Best Score", "model": "PPO (SF-GRU)", "row": 5, "task": "Space Fortress", "value": "2870" }, { "column": 6, "dataset": "Autoturn", "metric": "Fortress Death", "model": "PPO (SF-GRU)", "row": 5, "task": "Space Fortress", "value": "43" }, { "column": 4, "dataset": "Youturn", "metric": "Average Score", "model": "PPO (SF-GRU)", "row": 6, "task": "Space Fortress", "value": "2356" }, { "column": 5, "dataset": "Youturn", "metric": "Best Score", "model": "PPO (SF-GRU)", "row": 6, "task": "Space Fortress", "value": "2932" }, { "column": 6, "dataset": "Youturn", "metric": "Fortress Death", "model": "PPO (SF-GRU)", "row": 6, "task": "Space Fortress", "value": "41" }, { "column": 4, "dataset": "Autoturn", "metric": "Average Score", "model": "Rainbow", "row": 7, "task": "Space Fortress", "value": "-2973" }, { "column": 5, "dataset": "Autoturn", "metric": "Best Score", "model": "Rainbow", "row": 7, "task": "Space Fortress", "value": "-2330" }, { "column": 6, "dataset": "Autoturn", "metric": "Fortress Death", "model": "Rainbow", "row": 7, "task": "Space Fortress", "value": "1.2" }, { "column": 4, "dataset": "Youturn", "metric": "Average Score", "model": "Rainbow", "row": 8, "task": "Space Fortress", "value": "-4112" }, { "column": 5, "dataset": "Youturn", "metric": "Best Score", "model": "Rainbow", "row": 8, "task": "Space Fortress", "value": "-3934" }, { "column": 6, "dataset": "Youturn", "metric": "Fortress Death", "model": "Rainbow", "row": 8, "task": "Space Fortress", "value": "0" } ] } ]