A Simple but Tough-to-Beat Data Augmentation Approach for Natural
Language Understanding and Generation

A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation

29 September 2020

Papers citing "A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation"

19 / 19 papers shown

Title
Deterministic Reversible Data Augmentation for Neural Machine Translation Jiashu Yao Heyan Huang Zeming Liu Yuhang Guo 49 0 0 21 Feb 2025
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification Guanyi Mou Yichuan Li Kyumin Lee 26 3 0 26 Sep 2024
Sentence-Level or Token-Level? A Comprehensive Study on Knowledge Distillation Jingxuan Wei Linzhuang Sun Yichong Leng Xu Tan Bihui Yu Ruifeng Guo 43 3 0 23 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 30 19 0 30 Mar 2024
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeon-Seob Kim Minsu Kim Sungsoo Ahn Jinkyoo Park OffRL 29 7 0 02 Jun 2023
"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion Zexue He An Yan Amilcare Gentili Julian McAuley Chun-Nan Hsu MedIm 14 2 0 15 May 2023
DropDim: A Regularization Method for Transformer Networks Hao Zhang Dan Qu Kejia Shao Xu Yang 20 12 0 20 Apr 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 26 5 0 22 Feb 2023
Relaxed Attention for Transformer Models Timo Lohrenz Björn Möller Zhengyang Li Tim Fingscheidt KELM 24 11 0 20 Sep 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding Le Zhang Zichao Yang Diyi Yang 26 24 0 12 May 2022
DialAug: Mixing up Dialogue Contexts in Contrastive Learning for Robust Conversational Modeling Lahari Poddar Peiyao Wang J. Reinspach 11 5 0 15 Apr 2022
Text and Code Embeddings by Contrastive Pre-Training Arvind Neelakantan Tao Xu Raul Puri Alec Radford Jesse Michael Han ... Tabarak Khan Toki Sherbakov Joanne Jang Peter Welinder Lilian Weng SSL AI4TS 213 421 0 24 Jan 2022
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning Seonghyeon Ye Jiseon Kim Alice H. Oh CLL VLM 24 21 0 10 Sep 2021
Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach Víctor M. Sánchez-Cartagena M. Esplà-Gomis Juan Antonio Pérez-Ortiz Felipe Sánchez-Martínez 29 26 0 08 Sep 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 28 332 0 07 Jul 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Mohit Bansal Diyi Yang 21 172 0 14 Jun 2021
Generate, Annotate, and Learn: NLP with Synthetic Text Xuanli He Islam Nassar J. Kiros Gholamreza Haffari Mohammad Norouzi 24 51 0 11 Jun 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer Yuanmeng Yan Rumei Li Sirui Wang Fuzheng Zhang Wei Yu Wu Weiran Xu SSL 26 546 0 25 May 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 221 436 0 25 Sep 2019