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목록STraTA: Self-Training with Task Augmentation for Better Few-shot Learning (1)
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[NLP 논문리뷰]STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
제목 : HowMuchKnowledge Can You Pack Into the Parameters of a Language Model? 저자 : Tu Vu, Minh-Thang Luong, Quoc V. Le, Grady Simon, Mohit Iyyer, Noam Shazeer 발행년도 : 2021 paper : https://arxiv.org/abs/2109.06270 code : https://github.com/google-research/google-research/tree/master/TA-ST Review Abstract 최근의 발전이 NLP task에서 많은 발전을 이뤘지만, Large scale의 pretrained 언어 모델이 few shot 세팅에서는 그리 좋은 성능을 보이지 못하고 ..
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2021. 9. 23. 02:20