arxiv_id string | fold string | sha256 string | tables list |
|---|---|---|---|
1709.07359v2 | img_gen | 46c7ce1d338ffb60e1e730cc2bbdb193db7c6f3b3177ef6d823e655b2a706547 | [
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"task": "Image Generation",
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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 | dc020185989d3174b9413309964ed72c41d2ffb1b8efc116e2022d4700cd2b61 | [
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1710.10916v3 | img_gen | 103c42c8dae5f10a2526c1433c2ee3b7d346506ce4e0c0c80c7c588805815cab | [
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1710.11041v2 | mt | 86adff2e611f877817e063283eede242a9e50f882bd8301f138d152b809976c3 | [
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"dataset": "WMT2014 English-French",
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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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"dataset_text": "WMT 2014 English-to-German, English-to-French",
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"dataset": "WMT2014 English-French",
"metric": "BLEU score",
"model": "Weighted Transformer (large)",
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1711.02281v2 | mt | 14db2c65c1552a321fd1372ab5715f519b889a21b795d364090f4c016709e34e | [
{
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"dataset_text": "newstest2014 for WMT En-De, newstest2016 for WMT En-Ro",
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"dataset": "WMT2014 English-German",
"metric": "BLEU score",
"model": "NAT +FT + NPD",
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1711.04289v3 | nli | 7fc5cbc5f7c37db25485596e4287aa09295c42674cbf0a9ff17110c49f695ffb | [
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1711.06396v1 | object_det | baa35713453986d8830f0188ff1fdcb7d43c6290e70f22d8d95e90e8cd4f5aac | [
{
"ablation": false,
"dataset_text": "KITTI validation",
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"leaderboard": true,
"records": [
{
"column": 9,
"dataset": "KITTI Cyclists Moderate val",
"metric": "AP",
"model": "VoxelNet",
"row": 8,
"task": "Bird's Eye View Object Det... |
1711.06897v3 | object_det | 5a71a20ea2325ea76b944b1aba49f2490a07dc1064517320a22be6b4d0c0f054 | [
{
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"dataset_text": "VOC 2007, VOC 2012",
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"records": [
{
"column": 5,
"dataset": "PASCAL VOC 2007 test",
"metric": "MAP",
"model": "RefineDet512+",
"row": 26,
"task": "Object Detection",
... |
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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"dataset": "KITTI Pedestrians Hard test",
"metric": "AP",
"model": "Frustum PointNets",
"row": 5,
"task": "3D Object Detection",
... |
1711.08588v1 | object_det | 9379b341ca8fb7fa047f5f6568bb034dca05c3f88a34ae204e944d8a6a462ab8 | [
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"dataset_text": "S3DIS scenes",
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"dataset": "S3DIS scenes",
"metric": "AP",
"model": "SGPN",
"row": 4,
"task": "3D Instance Segmentation",
"value": "0.54... |
1711.10485v1 | img_gen | 216a5ad7e1b19d9e767bb7acef476c3b25068e29cc4c2dc6b15c7a97f2aa78b7 | [
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1712.00726v1 | object_det | baac58359341743acbc43276db315a48c686b6801c5afbb1d30d1f40d091d22a | [
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1712.02047v1 | nli | 09fe5e4ff203078d110b889966d885b57af3a72e2807a90ca2d0f79147bb76f4 | [
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"dataset": "SNLI test",
"metric": "Parameters",
"model": "Distance-based Self-Attention Network",
"row": 17,
"task": "Natural Language I... |
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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"dataset": "WSJ eval92",
"metric": "Character Error Rate",
"model": "CTC + policy learning",
"row": 4,
"task": "Speech Recognition",
... |
1712.09444v2 | speech_rec | 8420302f7df9a75e6b396f3d9f3e5c685c9161772ec22b36f72a4a30a3d03e99 | [
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1801.00102v2 | nli | 80933705035d8c5526e80eb57c835939aa3c2d246f747be55e4d7b05f6ec67af | [
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"model": "300D CAFE",
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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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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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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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{
"ablation": false,
"dataset_text": "Penn Treebank",
"index": 0,
"leaderboard": true,
"records": [],
"segmentation": [
[
"",
"model-params",
"model-params",
"model-params",
"model-params",
"model-params",
"model-params"
],
... |
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