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1709.07359v2
img_gen
46c7ce1d338ffb60e1e730cc2bbdb193db7c6f3b3177ef6d823e655b2a706547
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1709.08294v3
text_class
0919637a10873066caf671792cedc2f9fa571911a256634f0644c560cc468df6
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1710.02322v1
pose_estim
d959a1b5a8b843c57858cb290d492beef8eb928625fc9f301df4826257bd2e81
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1710.02772v1
qa
43a268b1b8fc1e49894a838859e64f09f251c663295e92f63b76bf22e5804f60
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1710.09537v1
qa
135b55c921e9f4ad88a2629d9935736a4e295c943eeee744e92b24d95c3ae650
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1710.10196v3
img_gen
eea74a31ac3b4cbbc6f464eeb5c3e1dfdaaf98440ef8befc8d94a59473ce7e09
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1710.10504v2
qa
e95bff2787103783b405502901d860bc129756336bd8c8189972e39a7208e11b
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1710.10723v2
qa
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1710.10916v3
img_gen
103c42c8dae5f10a2526c1433c2ee3b7d346506ce4e0c0c80c7c588805815cab
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1710.11041v2
mt
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1711.00043v2
mt
ee7a8ca6a058544d67d46b7dcd78b36cd29885d90cace6c0d105ec1d276d7bde
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1711.00106v2
qa
5a0719e8479598ddfb5da3cd7fa14d31057ff933b35a622d47f13d439420f68a
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1711.01068v2
mt
514ff581721f3c1f405b08d97eae50e698fdf61de189bd9735e4067267e735f5
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1711.02132v1
mt
e8e4f22acb055ef4ea32d794cf5ce9c705cb733efa9f783aa720df79599f7d05
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1711.02281v2
mt
14db2c65c1552a321fd1372ab5715f519b889a21b795d364090f4c016709e34e
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1711.04289v3
nli
7fc5cbc5f7c37db25485596e4287aa09295c42674cbf0a9ff17110c49f695ffb
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1711.06396v1
object_det
baa35713453986d8830f0188ff1fdcb7d43c6290e70f22d8d95e90e8cd4f5aac
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1711.06897v3
object_det
5a71a20ea2325ea76b944b1aba49f2490a07dc1064517320a22be6b4d0c0f054
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1711.07341v2
qa
6f2b2fd2087aae0f1419db18edcd7416cbd243b5a40aff7fa153c6f19505adab
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1711.07399v3
pose_estim
e785a9a120e7df6c19b0ef8fec5f527023d0ad368f502d4a4dbb5cf39800ce5c
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1711.07971v3
object_det
70393e186d565145c07d2fdd46d76a4109a52e60d81703942550d4c259a8c586
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1711.08028v4
qa
925dcc0f4d2a4a8d004fac8e7d76b895fb18b0073cbe33e3497d2dee7eba7cb8
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1711.08229v4
pose_estim
08ea7d6d493da5cd1a16654c681675c02f82f30e53d0ac502da73f928baf3bcc
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1711.08488v2
object_det
714f853cfe58f87cd872c17e4a5fa587cf023d1384d7aade4d5ec5c60e5a6be6
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1711.08588v1
object_det
9379b341ca8fb7fa047f5f6568bb034dca05c3f88a34ae204e944d8a6a462ab8
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1711.10485v1
img_gen
216a5ad7e1b19d9e767bb7acef476c3b25068e29cc4c2dc6b15c7a97f2aa78b7
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1712.00726v1
object_det
baac58359341743acbc43276db315a48c686b6801c5afbb1d30d1f40d091d22a
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"value": "0.428" }, { "column": 13, "dataset": "COCO test-dev", "metric": "AP50", "model": "Cascade R-CNN", "row": 11, "task": "Object Detection", "value": "0.621" }, { "column": 14, "dataset": "COCO test-dev", "metric": "AP75", "model": "Cascade R-CNN", "row": 11, "task": "Object Detection", "value": "0.463" }, { "column": 15, "dataset": "COCO test-dev", "metric": "APS", "model": "Cascade R-CNN", "row": 11, "task": "Object Detection", "value": "0.237" }, { "column": 16, "dataset": "COCO test-dev", "metric": "APM", "model": "Cascade R-CNN", "row": 11, "task": "Object Detection", "value": "0.455" }, { "column": 17, "dataset": "COCO test-dev", "metric": "APL", "model": "Cascade R-CNN", "row": 11, "task": "Object Detection", "value": "0.552" }, { "column": 6, "dataset": "COCO minival", "metric": "box AP", "model": "Cascade R-CNN", "row": 11, "task": "Object Detection", "value": "0.427" }, { "column": 7, "dataset": "COCO minival", "metric": "AP50", "model": "Cascade R-CNN", "row": 11, 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1712.02047v1
nli
09fe5e4ff203078d110b889966d885b57af3a72e2807a90ca2d0f79147bb76f4
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1712.02294v4
object_det
fb6efe8622f396f50e920135ce03ef0aa52089c8e3e3151f0249a92ea9b9792d
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1712.03556v2
qa
eff8fbe38e56522eeeac14f7629d9b2a6cfbe16d69bb3df16c77461b270beffc
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1712.03609v4
qa
60c80c441bd4331db441cb95f1495ad38d92b433cc3c1a93780b8fcfa3776650
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1712.07101v1
speech_rec
429103656bb9480f78e84a0f2c6c1c33c76a8a31eee6b4c801f67aa7e3b7de5c
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1712.09444v2
speech_rec
8420302f7df9a75e6b396f3d9f3e5c685c9161772ec22b36f72a4a30a3d03e99
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1801.00102v2
nli
80933705035d8c5526e80eb57c835939aa3c2d246f747be55e4d7b05f6ec67af
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1801.01641v1
qa
5e2bcf8f217f9eb55679e4229b7c14b111ad2120966472efd99d4ef9a715a104
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1801.01671v2
misc
bb9e0593bd6575cc60338e56032b4e3f33167146b6912e58f3d2f6235fc0719f
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1801.01849v4
misc
56f962191fa72bd1f18c32cb09be2e76d0ecc980f207a31e3386ff347b0218a8
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1801.06146v5
text_class
16ca110820b1c2f70d4823ab59c02ae307d4e44b6b09885f845ebaa6942d9e7c
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1801.08290v1
qa
238a719e19dbaeb16c73f685b5d4bf28ecfec1d9591350751a6649de6e757215
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1801.08459v2
qa
9ae99db090ae02b1000bbfaab2a1b81b408f1b46c89bc0f188414eaf27515707
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"", "" ] ] }, { "ablation": false, "dataset_text": "", "index": 17, "leaderboard": false, "records": [], "segmentation": [ [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ], [ "", "", "", "", "" ] ] } ]
1801.10296v2
nli
23c59524c1949bf27e7ec499bbe310b985f28ed94330601cec28f7c13c816b4c
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1802.00434v1
pose_estim
c77f6ac98bc510b1975e516654d3c6a4514173b74123287e1d11d603ad460231
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1802.02611v3
sem_seg
4f31364832e078ae36b77a3e81284481bbc64cef5a9472f511205353fad7b2bf
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1802.04591v2
img_gen
7fc7d069c4b2e2be0787815771a85c759af0299c171570ef6d7d92731f15a69e
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1802.05365v2
nli
2a7296102878d8e0e47ccc240c9c622c41f2e48058036c111b6934b3e98b3a33
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"" ], [ "", "", "", "" ] ] }, { "ablation": false, "dataset_text": "SNLI test", "index": 7, "leaderboard": true, "records": [ { "column": 1, "dataset": "SNLI test", "metric": "Accuracy", "model": "ESIM + ELMo", "row": 6, "task": "Natural Language Inference", "value": "88.7" } ], "segmentation": [ [ "table-meta", "dataset-metric" ], [ "model-competing", "" ], [ "model-competing", "" ], [ "model-competing", "" ], [ "model-competing", "" ], [ "model-competing", "" ], [ "model-best", "" ], [ "model-competing", "" ], [ "model-ensemble", "" ] ] }, { "ablation": false, "dataset_text": "SQuAD", "index": 8, "leaderboard": true, "records": [ { "column": 1, "dataset": "SQuAD1.1", "metric": "EM", "model": "BiDAF + Self Attention + ELMo", "row": 8, "task": "Question Answering", "value": "78.6" }, { "column": 2, "dataset": "SQuAD1.1", "metric": "F1", "model": "BiDAF + Self Attention + ELMo", "row": 8, "task": "Question Answering", "value": "85.8" } ], "segmentation": [ [ "table-meta", 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1802.05577v2
nli
f6dfcade2f9863da539e6f2de30a946df4e65b12890baccf044f844a0f72798d
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1802.05637v2
img_gen
b4cf7103a511940d6493d8c38fd2893dbf4edae203b83701e7ce0eb13f1bbe7b
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1802.05751v3
img_gen
31a2b09f55da051a2f9843717abc08815d751c7e6ccaeaa12566b7b492df4b4b
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1802.05957v1
img_gen
7f79efe2f3dd53908490f4afb49074ee2e4ad77abff04cad236e3ed58e2a6fc4
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1802.09129v1
object_det
b2b0c4e05d4080be2a65398515356c8de2d9ee06851609cb362552e60a182d17
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1803.00387v1
object_det
93ebf0265cbbc4d309e75387b00fa0b0039fc957a12b982de8501d765cf70a3c
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1803.01534v4
object_det
f2d689328626fea38142d6abd4fd1e0ea215008eb1d222b2acda1ad7b0aaf622
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1803.02155v2
mt
62216fe97522598f6bb08a3c209ad8211db2a582d0817f4cbd49f9ed27e3dd9a
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1803.02879v2
misc
702e88b9ce2b639ccac6a1f4cda0d9d74366f67c3c08f6f1bbf9071b9d160967
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1803.08494v3
object_det
3da865c1ed88f6008dc1b1b8cf347c96893e99e41f925dd4ab9ec2f04c655a48
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1803.08904v1
sem_seg
ade5726dcc98720bc68cbfed106200aaae8317af6ba27ed31ea9db9d7a68418c
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1803.09074v1
qa
f5eabafacec1b5dff0a45b7c5891f0677e16e22f98bca2832cef6fc0da52ced5
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1803.10109v1
speech_rec
e39167c86816af3ce4b71a9610e5ca8d61046df70da28b37701aa117433f9dd8
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1803.10225v1
speech_rec
367d95565ffbac5d7af7e948beffd30504aa58ef255bfa40acd1f44d8b523be2
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1803.11175v2
text_class
fc1728a98596da491eb0449293ce634ce78ae2fffc880c7ba7f42b8ff477073a
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1804.00538v4
text_class
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1804.02767v1
object_det
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1804.05922v1
qa
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1804.06208v2
pose_estim
57cf8d2d69b15b6eb35b45d1d1d9d106a4c33e47be978073592ca94cefefb9fc
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1804.07755v2
mt
8e19f2630c951e353f990634c90330ab2d06cba7d383a4a9541f5b7897a8258a
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1804.07983v2
nli
a87f0511562982f243b550882fb93dcdd7a230a5ae8dd84e5e86372731037270
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1804.09057v1
mt
7a49eac1c4cd87765ef3b7172b115badfb693399a85da5267a37bab25f6f39f5
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1804.09337v1
sem_seg
467513503b7dfe929a8c2115f53c2faa1ed4f091bd465d8fa79d2e4071cf6192
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1804.09541v1
qa
9d8d8c0271bed4773ca04d9c1385e43c24e3fea3a4d15139b05e950e1db792d5
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1804.09849v2
mt
066db0f41e8df5cd6b001fc308e128feabbe45b877fcaca368ec4d07aa72c029
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1805.02220v2
qa
096c7cde99eb4f1babeaaaa5136a85012248442f69a30c7989a7b0b6fdd728d9
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1805.03294v1
speech_rec
e0b2108ea4a678acc756fe18a84cf25714ff6fe48c2425cf7b0d7b5cdcf35c6a
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1805.08318v1
img_gen
09a109082d19259674b00efdda3c72d85b3115c55be32aac9680eaaa32e58fe7
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1805.09300v3
object_det
dfae59a54a7b8a7cc7cb1a8dc246f1efc936f80481619d5c1d8072ab1defa2fd
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1805.09843v1
text_class
e8c0ee0776e958c42d7a3c014c791e38c9cffe006b7e7e619b350f8a3d389864
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Answer", "index": 3, "leaderboard": false, "records": [], "segmentation": [ [ "table-meta", "model-params", "model-params" ], [ "model-competing", "", "" ], [ "model-competing", "", "" ], [ "model-paper", "", "" ] ] }, { "ablation": false, "dataset_text": "MSRP", "index": 4, "leaderboard": true, "records": [ { "column": 2, "dataset": "MultiNLI Matched", "metric": "Accuracy", "model": "SWEM-max", "row": 6, "task": "Natural Language Inference", "value": "68.2" }, { "column": 3, "dataset": "MultiNLI Mismatched", "metric": "Accuracy", "model": "SWEM-max", "row": 6, "task": "Natural Language Inference", "value": "67.7" }, { "column": 4, "dataset": "WikiQA", "metric": "MAP", "model": "SWEM-aver", "row": 5, "task": "Question Answering", "value": "0.6808" }, { "column": 5, "dataset": "WikiQA", "metric": "MRR", "model": "SWEM-aver", "row": 5, "task": "Question Answering", "value": "0.6922" }, { "column": 8, "dataset": "Microsoft Research Paraphrase Corpus", "metric": "F1 score", "model": 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1805.10190v3
speech_rec
1aa5687255b76539371cd78c4c61ccdd0c39c797a30201596ff6eb2c3034bfa9
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1805.11360v2
nli
6be34af0e19577471e783155dacac0c5e9f69e8181e2d2bf316279b5cfbc8965
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1805.11565v4
img_gen
8cfe74efc89845e0db24f8f6dbca8433206f6e6490b80a22ed8d5f24e51c4b4d
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1806.00187v3
mt
34226164150e4997c225a74fd74444fa77d6d0c777015924a2af531cd3065806
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1806.01501v1
text_class
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1806.05516v1
text_class
4a048cefd0a83d8a28cb9b366b206c4d67af7af86d4cd120b5dfd08ea4485a07
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1806.07789v1
speech_rec
b429101779166779e3021f7a46c318af0f533735fffd475c236a63e91f7ecdea
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1806.09828v1
nli
8cc398e30ada8ec01b1d9a92f76d8e8c45de75d1f2fdb92bfce6973fd242ce86
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1807.00734v3
img_gen
967617dd159155d47c70048d30111668ec9f8a21e58dbbb83559fe5dd02894c3
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1807.03342v2
object_det
e109238e7fafa49b3f9d9c47d2602bcce98e080c77730997516c032fa2fcff0a
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1807.03819v3
mt
5a4c7777b3097beb24d3bd556631a1736ac6d8c78c88b72f11638d60d57b0d67
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1807.06653v3
img_class
724d4337c5a9638726b7f57789762f12705f7e7332b211bdb94fa4105b396939
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1807.11590v1
object_det
8562afbc4b1d4dc1d8667b0c1b06f88bac9a4ec50f787a5d74eea8fbb436bf7b
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1808.00897v1
sem_seg
9a079f81322616497fbd682155553446bfd15f843975d49b0c8d2ffd683bbde0
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1808.02194v2
pose_estim
a58e0e20e6b55cccb3c28ef6289e7c39ac1fa98f3533c523e1bce1ca21d7b241
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1808.03867v3
mt
790cb175956473e6fc6e5169e843d83920064f5eddea94b518b898f0a3646d4d
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1808.05759v5
qa
e5ca243e049731c3688f1088e5cfad12f23ad11b9267d28a40edf7a6471a32ba
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1808.06521v1
pose_estim
7d5c507dc0a03efbce3f10b425fa3031ca109f1ed9cd5e061f35020dde3707cf
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1808.07042v2
qa
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1808.07383v1
nli
f82e4c6462fde146757bd185ec94606f474a05bad285e262413e3c5bc07f7ebd
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1808.08762v1
nli
c626149f74313a4001fc71c79972925dcc042a4209b34ddbc154c23bee916def
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1808.09315v1
text_class
7b476dd1c13caa6619386b3b1db6584a646f4633cfee3e0ba0eb32a7c4e37a6c
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1809.00916v3
sem_seg
894d4412b396910d33b5369035cf0b2b8c50317a1e85e55eae57ed2b5123d85b
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1809.01272v1
mt
877e7016236fbef993cc9df5a1a8c3ef409fbee780ef0a7255da195fb3f1b4dd
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1809.01812v1
qa
7efe7fed341504c04ee0bf14e816355b39b5492fb77377bf8b129154224ca2fd
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