paper-with-me

Text Classification 벤치마크

Text Classification on Amazon-2

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Error 낮을수록 좋음

2.11 3.007 3.905 4.803 5.7 2019-04 2026-11 BERT Finetune + UDA — 3.5 (2019-04-29) BERT Finetune + UDA — 3.5 (2019-04-29) XLNet — 2.11 (2019-06-19) XLNet — 2.11 (2019-06-19) ULMFiT (Small data) — 3.9 (2019-09-20) ULMFiT (Small data) — 3.9 (2019-09-20) LHTR — 5.7 (2020-03-25) LHTR — 5.7 (2020-03-25) BERT Finetune + UDA — 3.5 (2019-04-29) XLNet — 2.11 (2019-06-19)
RankModel Error PaperCodeYear
1 XLNet 2.11 XLNet: Generalized Autoregressive Pretraining for Language Understanding huggingface/transformers · PaddlePaddle/PaddleNLP · zihangdai/xlnet · +24 2019
2 BERT Finetune + UDA 3.5 Unsupervised Data Augmentation for Consistency Training google-research/uda · SanghunYun/UDA_pytorch · ildoonet/unsupervised-data-augmentation · +17 2019
3 ULMFiT (Small data) 3.9 Sampling Bias in Deep Active Classification: An Empirical Study Xtra-Computing/thundersvm · drimpossible/Sampling-Bias-Active-Learning 2019
4 LHTR 5.7 Heavy-tailed Representations, Text Polarity Classification & Data Augmentation 2020
5 XLNet 2.11 XLNet: Generalized Autoregressive Pretraining for Language Understanding huggingface/transformers · PaddlePaddle/PaddleNLP · zihangdai/xlnet · +24 2019
6 BERT Finetune + UDA 3.5 Unsupervised Data Augmentation for Consistency Training google-research/uda · SanghunYun/UDA_pytorch · ildoonet/unsupervised-data-augmentation · +17 2019
7 ULMFiT (Small data) 3.9 Sampling Bias in Deep Active Classification: An Empirical Study Xtra-Computing/thundersvm · drimpossible/Sampling-Bias-Active-Learning 2019
8 LHTR 5.7 Heavy-tailed Representations, Text Polarity Classification & Data Augmentation 2020
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