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1809.02279v1
nli
bd46388fc71bf26f6cbe9c7ccb90176a579102cf314c635b60e90a9a634e29f1
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1809.02794v1
nli
ce1aa1624a210685a1d6019572b37bed092536ce87da00fb97f79aed94365356
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1809.02983v3
sem_seg
caf0e8d62616f50ba304018e8c4c2d50938ed9e37ff1b5bd97a66ccf2f7c4826
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1809.03449v1
qa
9c1faa3a8f4c3cedccfb3b9161f657c86dc7361528c0e43e78d42d5362363071
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1809.04505v1
text_class
be2c60c35114fd30f3611ccb5a79d759684e632942a2beb91f75c78df49f5bdf
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1809.05679v3
text_class
c4f6228437d015cffb1954f6f085f9021825ac0433ec1a5a08fdcf673c441dcf
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1809.06309v2
qa
68027b8743d9357072879801581ec6940f880400088c338d8bca23454ee6232d
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1809.06858v1
mt
998cb555f85e7790de4d9f718953dd1ef1d6be9eff502a38e4075bae5e066760
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1809.08545v2
object_det
daadee0cfd505fe185918aa75ff4820d0bcf63852a86e1082d62ee0892c2caff
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1809.10735v1
qa
db0b90eab667e3caabab90d4d8adf0e312af3eaa4b539b4388e9bfbbbd21e61d
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1809.11096v2
img_gen
044564368ad7daccf39298fc50e93039b8fbffb6e16d4606fe44f0642730236d
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1810.04805v1
nli
eb9fb64b886079a1ef3341e5a1a00b7d493e085f60f2bec9a22ad07d0ad5c08b
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1810.04826v4
speech_rec
a7f49a69d9c51651734cc82da0a26d1f55d62b5a1316d46fdfbcec7ec89f74e7
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1810.06638v1
qa
84d80b46904c6a3c0fb07d066e0524de32ab081ce3a88a8669d15d397e858d0f
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1810.06683v2
qa
9a3189767008a05d0f0af3c4b94fdc8666e4a28ebebf6bd9c4f1f4b36b45a8cd
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1810.09177v3
text_class
4d5d55b5be5f8469ce467f617b679af5625dbf0cb002c7307d47d76b5231133b
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1811.01483v3
misc
07d434cabe07733b905a3c2cc61a1f5e5a0b2ba7d58c9e6d42642951bc5bf606
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1811.03818v1
object_det
ee42e50628fd15b1ea68f10146b60f690066ca8e35db71820ed4fc5d1ddced74
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1811.04210v2
qa
5ba9b33da0cd86eda3298249982709faa869815bb1fa940c60db16971e395287
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1811.04533v3
object_det
7abe9ae53a2ad82c2204e4bbc9517d1f137f632528d1af96ed478303bdc828e0
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1811.05181v1
object_det
a50967c5d1ed168e655eeb0bdb9fb6d5a2ccd16c1b7adfb337918359176a87f3
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1811.07453v2
speech_rec
8fffbdadf2e71be65c31b0b20a0b07ee718b3e84d923b78c561dbc9777f0e43a
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1811.11374v1
qa
af731c73f9b6ff4f9bf9d6f6aac6385a42e267f09d632d11117a6b126b920c0a
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1811.12596v1
pose_estim
1d1a116672cf9abe64e9cd08d61299443f3bd77a25cdb5ad0f501ccf7957cd65
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1812.01840v2
nli
48b9cd8988bdaf2b652d252cd449cdd1d8e3523a40e0b14f9c3d44b52db7283b
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1812.03593v5
qa
f385fec58ce46ab51197a1db73316f11583891d8dfc3ada6e9205a7f93526d1d
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1812.04244v1
object_det
7e528cf2499faa6a0e1bc9f4920107fb5aeaf6327b8ffb01d3116f8e659ba011
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1812.04948v3
img_gen
106a348a0b30c0b8b99e16ef1434784fc8b5c37085b6b52d948293a9e16d6eef
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1812.05276v1
object_det
9e9695378af193c16138731c04a198be9a0aa650a0725ebdb7e6b23d5ee99ec8
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1812.05784v1
object_det
aa2d55f7b87690d32ab6bf0cd37daf0dff30ed54e632704e886b29994d22e7f1
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1901.00603v1
qa
3519365ad8a1bfeb7be88b2cad5e5f4993bdae00e7e4a01e3624ee23db5e9a20
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1901.00686v1
img_gen
8393e99763a00d5211718c8e07e7137b50f799db1fb3b081ab1e12e5fcbeb106
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1901.03353v1
object_det
92ba54335d7913a9dd1688bdce9023a2c5d7665ae22d350eefb24acc3390683a
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1901.07291v1
mt
a52a79a072352935e33786a940e46aded7df5997f206e7628c14df1e9b8c173d
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1901.08043v2
object_det
79a9c8bb222195672d729fcb5a09217eb03f024eae79d30eb7d3dacb3ed6a7a1
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1901.09821v1
text_class
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1901.10430v2
mt
b0caa0e041a916db9d306a1a3c501124da3d121947e47a4ec25fdd0e6b424c13
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1901.11117v3
mt
79e63efe261ed79d6c2a1b743e713f7557c6d0684b71af1f21db6b1f79bf05fa
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1901.11504v1
nli
8c78dca27884aa09ed52209f2db90e38d0186668c22ab451d564a976136bd8eb
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1902.07153v1
text_class
98823d73ab4dbabdd1e39717f431fc93bf75f92d005c36dcccb350080002bf21
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1902.09212v1
pose_estim
777943192244b21c9c85b43faad1daaede6bd902c5c6e8141fae3904713ae117
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1903.02120v3
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1903.05628v3
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1903.06048v2
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1903.07785v1
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1903.08469v1
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1903.11816v1
sem_seg
c6e2cba39600f596f65a6224e028434865babd2a0612567aae5112a276f117c3
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1904.00284v1
img_gen
ab9a3a635665cd197302bddd75062e9d3b444fed2bc3340c0162ef732b69ba2a
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1904.01355v2
object_det
12d6b6f648c5bcf034379cd9035cdd33acea97f08ed19285a29fd9959ac96619
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1904.03288v1
speech_rec
ca6d1820ef8b25626f30a4668c50f507293a7be0ddd5b8177d936ab1443c14c2
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"dataset-sub" ], [ "model-paper", "", "", "" ], [ "model-paper", "", "", "" ], [ "model-paper", "", "", "" ], [ "model-paper", "", "", "" ] ] }, { "ablation": false, "dataset_text": "LibriSpeech", "index": 4, "leaderboard": true, "records": [ { "column": 6, "dataset": "LibriSpeech test-other", "metric": "Word Error Rate (WER)", "model": "Jasper DR 10x5 LM:Transformer-XL", "row": 8, "task": "Speech Recognition", "value": "8.79" }, { "column": 5, "dataset": "LibriSpeech test-clean", "metric": "Word Error Rate (WER)", "model": "Jasper DR 10x5 LM:6-gram", "row": 7, "task": "Speech Recognition", "value": "3.34" }, { "column": 6, "dataset": "LibriSpeech test-other", "metric": "Word Error Rate (WER)", "model": "Jasper DR 10x5 LM:6-gram", "row": 7, "task": "Speech Recognition", "value": "9.62" }, { "column": 5, "dataset": "LibriSpeech test-clean", "metric": "Word Error Rate (WER)", "model": "Wav2letter++", "row": 5, "task": "Speech Recognition", "value": "3.44" }, { "column": 6, "dataset": "LibriSpeech test-other", "metric": "Word Error Rate (WER)", "model": "Wav2letter++", "row": 5, "task": "Speech Recognition", "value": "11.24" }, { "column": 5, "dataset": "LibriSpeech test-clean", "metric": "Word Error Rate (WER)", "model": "Jasper DR 10x5 Base", "row": 6, "task": "Speech Recognition", "value": "3.86" }, { "column": 6, "dataset": "LibriSpeech test-other", "metric": "Word Error Rate (WER)", "model": "Jasper DR 10x5 Base", "row": 6, "task": "Speech Recognition", "value": "11.95" }, { "column": 5, "dataset": "LibriSpeech test-clean", "metric": "Word Error Rate (WER)", "model": "Deep Speech 2", "row": 3, "task": "Speech Recognition", "value": "5.33" }, { "column": 6, "dataset": "LibriSpeech test-other", "metric": "Word Error Rate (WER)", "model": "Deep Speech 2", "row": 3, "task": "Speech Recognition", "value": "13.25" }, { "column": 5, "dataset": "LibriSpeech test-clean", "metric": "Word Error Rate (WER)", "model": "Deep bLSTM w/ attention", "row": 4, "task": "Speech 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LM:Transformer-XL", "row": 8, "task": "Speech Recognition", "value": "2.95" } ], "segmentation": [ [ "table-meta", "model-params", "model-params", "dataset-sub", "dataset-sub", "dataset-sub", "dataset-sub" ], [ "model-competing", "", "", "", "", "", "" ], [ "model-competing", "", "", "", "", "", "" ], [ "model-competing", "", "", "", "", "", "" ], [ "model-competing", "", "", "", "", "", "" ], [ "model-competing", "", "", "", "", "", "" ], [ "model-paper", "", "", "", "", "", "" ], [ "model-paper", "", "", "", "", "", "" ], [ "model-best", "", "", "", "", "", "" ] ] }, { "ablation": false, "dataset_text": "WSJ", "index": 5, "leaderboard": true, "records": [ { "column": 3, "dataset": "WSJ eval92", "metric": "Word Error Rate (WER)", "model": "Jasper 10x3", "row": 7, "task": "Speech Recognition", "value": "6.9" }, { "column": 2, "dataset": "WSJ eval93", "metric": "Word Error Rate (WER)", "model": "Jasper 10x3", "row": 7, "task": "Speech Recognition", "value": "9.3" } ], "segmentation": [ 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1904.03758v1
misc
4803adbdf619de266a81e93d73f852348e2153d04d411216d6e58247b49bb156
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1904.03797v1
object_det
bdd9fb74589ff41d84ed8e0edd6a35899bf35efe5ad873060557cabb2f1471dd
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