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1202.2745v1
img_class
b72ff435bb75f56c58e593d1b13f51c881a3aa80d2c2de91e66afd7bfd3896b9
[ { "ablation": true, "dataset_text": "MNIST", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "table-meta", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub", "" ...
1207.4708v2
misc
b0a7f50787ad3550c90ddd06aaec6bc84f7798bb9fff2f578509948a4da1feaa
[ { "ablation": false, "dataset_text": "Asterix, Seaquest", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "model-competing", "model-paper", "model-paper", "model-paper", "model-paper", "model-comp...
1301.3557v1
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "model-competing", "", "" ], [ "", "", "" ], [ "", "", "" ], [ ...
1302.4389v4
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "model-params" ], [ "model-competing", "" ], [ "model-competing", "" ], [ ...
1303.5778v1
speech_rec
30cdaa9f0e1ae198a710d3d5fe9ab9c28b75cb69e984834dc13ec466c3c1e697
[ { "ablation": false, "dataset_text": "TIMIT", "index": 0, "leaderboard": true, "records": [ { "column": 3, "dataset": "TIMIT", "metric": "Percentage error", "model": "Bi-LSTM + skip connections w/ CTC", "row": 9, "task": "Speech Recognition",...
1312.4400v3
img_class
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[ { "ablation": false, "dataset_text": "CIFAR-10", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "dataset-metric" ], [ "model-competing", "" ], [ "model-competing", "" ], ...
1312.6082v4
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "trash", "trash", "trash", "trash", "trash", "trash", "trash", "trash" ], [ "trash", ...
1312.6229v4
object_det
3bca327b0044ac20e4c8b472b4241e5df6ec8efcadef80090ecbb8fff8eef0f6
[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "trash", "trash", "trash", "trash", "trash", "trash", "trash", "trash", "trash" ], [ ...
1402.5766v1
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "table-meta", "table-meta" ], [ "model-competing", "" ], [ "model-competing", "" ], [ ...
1404.3606v2
img_class
cedbdfa24b0a73f4973a824a52a94e23a7d65caa5e47589346450dbd72e089c1
[ { "ablation": true, "dataset_text": "MultiPIE cross-illumination", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "table-meta", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub", "data...
1404.4326v1
qa
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "trash" ], [ "trash" ], [ "trash" ], [ "trash" ], [ "trash" ], [ "tr...
1405.4053v2
qa
4cd98b04d1ac4cf7a4681b8e6a0fa588ab7a68ae5348aaf1ec906b5fe3c97f53
[ { "ablation": false, "dataset_text": "Stanford Sentiment Treebank", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "dataset-metric", "dataset-metric" ], [ "", "dataset-sub", "dataset-sub" ...
1406.1078v3
mt
4d88616f2e5afff9908ea04702138449fedd5ae4a5f76572c9928b91e16fd1be
[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": true, "records": [ { "column": 2, "dataset": "WMT2014 English-French", "metric": "BLEU score", "model": "CSLM + RNN + WP", "row": 5, "task": "Machine Translation", "v...
1406.3676v3
qa
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "dataset", "", "" ], [ "", "", "" ], [ "", "", "" ], [ "data...
1406.4729v4
object_det
bc337cc6687d63e98face4aef7b56f498199e40eca4b501ce6e0a8074d61729f
[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "", "", "", "", "", "" ], [ "", "", "", "", "", ...
1406.7806v2
speech_rec
4b1b87e4ab164b1c1a8e028e596578297bc689682dbf61f4acdda45832bf40ad
[ { "ablation": false, "dataset_text": "Hub5 2000, Switchboard, CallHome", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "model-params", "model-params", "model-params", "dataset-metric", "dataset-metric", "dataset-metr...
1409.0473v7
mt
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [ { "column": 2, "dataset": "WMT2014 English-French", "metric": "BLEU score", "model": "RNN-search50*", "row": 5, "task": "Machine Translation", "va...
1409.2329v5
mt
bf28d89a519708233255c422af4a67077b505de94a9c9f64a3ced16ec57bc5bc
[ { "ablation": false, "dataset_text": "Penn Tree Bank", "index": 0, "leaderboard": true, "records": [ { "column": 2, "dataset": "Penn Treebank (Word Level)", "metric": "BLEU score", "model": "2 large regularized LSTMs", "row": 16, "task": "Lan...
1409.4842v1
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "model-params", "model-params", "model-params", "model-params", "model-params", "model-params", "model-params", ...
1409.5185v2
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "trash", "trash" ] ] }, { "ablation": false, "dataset_text": "MNIST", "index": 1, "leaderboard": true, "records": [], "seg...
1409.6070v1
img_class
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[ { "ablation": true, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "table-meta", "model-params", "model-params", "model-params" ], [ "model-params", "", "", "" ],...
1410.0736v4
img_class
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[ { "ablation": false, "dataset_text": "CIFAR100", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "dataset-metric" ], [ "model-competing", "" ], [ "model-competing", "" ], ...
1410.8206v4
mt
af36f0c70cfb29ad94335f48a8628ee4dbdb5f94921061daf5a1da0884f01608
[ { "ablation": false, "dataset_text": "newstest2014", "index": 0, "leaderboard": true, "records": [ { "column": 3, "dataset": "WMT2014 English-French", "metric": "BLEU score", "model": "Single LSTM with 6 layers + PosUnk", "row": 18, "task": "...
1410.8516v6
img_gen
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", ...
1411.4038v2
sem_seg
11aac3f826999ee3328ba0784d995c67e2c1cb8966df31d80b8e4c668708e782
[ { "ablation": true, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "", "" ], [ "", "", "", "" ], [ "", "", "", "" ...
1412.1632v1
qa
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", ...
1412.5567v2
speech_rec
e9acc81ad1539ee34ae01a05dcb858813c5fe72dd52e0574125d1a047a677871
[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "" ], [ "", "" ], [ "", "" ], [ "", "" ] ] }, { "ablat...
1412.6071v4
img_class
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[ { "ablation": true, "dataset_text": "MNIST, CIFAR-100", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "model-params", "model-params", "model-params", "model-params" ], [ "table-meta", ...
1412.6597v4
img_class
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[ { "ablation": true, "dataset_text": "CIFAR-10", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "", "", "", "" ], [ "model-params", "model-params", "", "", "" ...
1412.6830v3
img_class
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[ { "ablation": false, "dataset_text": "CIFAR-10, CIFAR-100", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "trash", "trash", "trash" ] ] }, { "ablation": false, "dataset_text": "CIFAR-10, CIFAR-100", "index": 1, ...
1412.7062v4
sem_seg
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "" ], [ "", "" ] ] }, { "ablation": true, "dataset_text": "", "index": 1, "leaderboard": false, ...
1412.7149v4
img_class
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[ { "ablation": false, "dataset_text": "MNIST", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "dataset", "dataset-metric", "model-params" ], [ "model-paper", "", "" ], [ "model-paper", ...
1502.00702v2
img_class
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[ { "ablation": false, "dataset_text": "MNIST", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "model-params", "model-params", "model-params", "model-params" ], [ "model-competing", "",...
1502.03167v3
img_class
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[ { "ablation": true, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "table-meta", "", "dataset-metric" ], [ "", "", "" ], [ "", "", "" ], ...
1502.04623v2
img_gen
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[ { "ablation": false, "dataset_text": "100×100 Cluttered Translated MNIST", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "" ], [ "", "" ], [ "", "" ], [ "", ""...
1502.05700v2
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "", "model-competing", "model-competing", "model-competing", "model-best" ], [ "dataset", ...
1503.01640v2
sem_seg
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[ { "ablation": true, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "", "", "", "" ], [ "", "", "", "", "", "" ], [ ...
1503.03244v1
qa
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "dataset-metric" ], [ "model-competing", "" ], [ "model-competing", "" ], [ ...
1503.04596v3
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "table-meta", "model-params", "model-params", "model-params", "model-params", "model-params" ], [ "dataset",...
1504.01013v4
sem_seg
0a93eb1bc6aaf36de0735cbba234498215d5d11faa6b0ba96c15b1bb8c51febf
[ { "ablation": false, "dataset_text": "NYUDv2", "index": 0, "leaderboard": true, "records": [ { "column": 2, "dataset": "NYU Depth v2", "metric": "Pixel Accuracy", "model": "Piecewise", "row": 4, "task": "Semantic Segmentation", "value...
1504.01106v5
text_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "dataset-task", "trash", "trash" ], [ "", "trash", "trash" ], [ "", "trash", "tr...
1504.01482v1
speech_rec
7b47e3617e152d144be07edb7b3df164fcf20e38ab7d73c6aa11bfee2d90e1c8
[ { "ablation": false, "dataset_text": "Wall Street Journal", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "dataset", "dataset" ], [ "model-competing", "", "" ], [ "model-...
1504.08083v2
object_det
211c62474136576811cd5ded24449fc806a35513bcc96f78b8998dff1490d7a4
[ { "ablation": false, "dataset_text": "VOC 2007", "index": 0, "leaderboard": true, "records": [ { "column": 22, "dataset": "PASCAL VOC 2007 test", "metric": "MAP", "model": "FRCN", "row": 5, "task": "Object Detection", "value": "0.7" ...
1505.00393v3
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "dataset", "dataset", "dataset" ], [ "model-params", "", "", "" ], [ "model-...
1505.00853v2
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "model-params", "model-params" ], [ "", "" ], [ "", "" ], [ "", "" ], ...
1505.03229v1
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "model-params", "", "", "", "", "", "", "" ], [ "model-params", "", "", ...
1505.05899v1
speech_rec
4ed63d6104ad8c048d7cfb3b1480f5e997ae78a7bd2878084a671959ceb59407
[ { "ablation": true, "dataset_text": "Hub5’00 SWB", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "table-meta", "dataset-sub", "dataset-sub" ], [ "", "", "" ], [ "model-paper", ...
1506.01497v3
object_det
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "", "", "", "", "", "", "", "" ], [ "", "", "", ...
1506.02075v1
qa
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "" ], [ "", "" ], [ "", "" ], [ "", "" ], [ "", ...
1506.02351v8
img_class
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[ { "ablation": false, "dataset_text": "SVHN", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "dataset-metric" ], [ "model-competing", "" ], [ "model-competing", "" ], [...
1506.02640v5
object_det
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[ { "ablation": false, "dataset_text": "Pascal VOC 2007", "index": 0, "leaderboard": true, "records": [ { "column": 2, "dataset": "PASCAL VOC 2007 test", "metric": "MAP", "model": "YOLO", "row": 4, "task": "Object Detection", "value": "...
1506.03340v3
qa
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub" ], [ ""...
1506.04579v2
sem_seg
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "" ], [ "", "" ], [ "", "" ], [ "", "" ], [ "", ...
1506.07503v1
speech_rec
93ea08cd152e94f6eebfd33a4e8d6d52fc165421772017ea7167135999b7ac9b
[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": true, "records": [ { "column": 2, "dataset": "TIMIT", "metric": "Percentage error", "model": "Bi-RNN + Attention", "row": 3, "task": "Speech Recognition", "value": "1...
1507.06228v2
img_class
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[ { "ablation": false, "dataset_text": "MNIST", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "model-paper", "model-paper", "model-competing", "model-competing" ], [ "", "", ""...
1508.00330v2
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "", "", "", "", "" ], [ "", "", "", "", "", "", ...
1508.05326v1
nli
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "" ], [ "", "", "" ], [ "", "", "" ], [ "", ...
1509.01626v3
text_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "model-params", "model-params", "model-params", "model-params", "model-params" ], [ "", "", "", ...
1509.06664v4
nli
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[ { "ablation": false, "dataset_text": "SNLI", "index": 0, "leaderboard": true, "records": [ { "column": 6, "dataset": "SNLI test", "metric": "Accuracy", "model": "100D LSTMs w/ word-by-word attention", "row": 8, "task": "Natural Language Infer...
1509.08967v2
speech_rec
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "", "", "", "" ], [ "", "", "", "", "", "" ], [ ...
1509.08985v2
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "dataset", "dataset", "dataset", "dataset" ], [ "model-competing", "", "", "", ...
1511.00561v3
sem_seg
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[ { "ablation": true, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "", "", "", "", "", "", "", "", "", "", "", "", "...
1511.02583v1
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": true, "records": [], "segmentation": [ [ "table-meta", "dataset-metric" ], [ "model-competing", "" ], [ "model-competing", "" ], [ ...
1511.02853v4
object_det
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[ { "ablation": false, "dataset_text": "VOC 2007", "index": 0, "leaderboard": true, "records": [ { "column": 4, "dataset": "PASCAL VOC 2007 test", "metric": "MAP", "model": "WSDDN-Ens", "row": 4, "task": "Object Detection", "value": "0....
1511.03719v7
img_class
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "model-params", "model-params" ], [ "", "" ], [ "", "" ], [ "", "" ], ...
1511.03776v3
object_det
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1511.06038v4
qa
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1511.06434v2
img_gen
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1511.06443v2
misc
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1511.06645v2
pose_estim
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[ { "ablation": true, "dataset_text": "LSP", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "table-meta", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub", "datas...
1511.07053v3
sem_seg
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[ { "ablation": false, "dataset_text": "Weizmann Horses", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "" ], [ "", "", "" ], [ "", "", "" ], [ ...
1511.07122v3
sem_seg
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1511.07289v5
img_class
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1511.08630v2
text_class
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[ { "ablation": false, "dataset_text": "Stanford Sentiment Treebank", "index": 0, "leaderboard": true, "records": [ { "column": 1, "dataset": "SST-5 Fine-grained classification", "metric": "Accuracy", "model": "C-LSTM", "row": 16, "task": "Sent...
1512.02595v1
speech_rec
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1512.03385v1
img_class
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1512.08422v3
nli
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1512.08849v2
nli
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1601.06733v7
nli
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1602.07019v2
qa
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1603.00223v2
speech_rec
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1603.00489v2
object_det
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1603.01249v3
misc
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[ { "ablation": false, "dataset_text": "AFLW test", "index": 0, "leaderboard": true, "records": [ { "column": 4, "dataset": "AFLW test", "metric": "NME", "model": "HF-ResNet", "row": 11, "task": "Face Alignment", "value": "2.93" }...
1603.01547v2
qa
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1603.06021v3
nli
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[ { "ablation": false, "dataset_text": "", "index": 0, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "", "" ], [ "", "", "", "" ], [ "", "", "", "" ...
1603.08884v1
qa
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