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"

30 / 30 papers shown

Title
Deterministic Reversible Data Augmentation for Neural Machine Translation Jiashu Yao Heyan Huang Zeming Liu Yuhang Guo 51 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 36 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 51 3 0 23 Apr 2024
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning Andrei Semenov Vladimir Ivanov Aleksandr Beznosikov Alexander Gasnikov 42 6 0 04 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 38 19 0 30 Mar 2024
Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning Sapan Shah Sreedhar Reddy Pushpak Bhattacharyya 13 0 0 29 Oct 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization Hyeon-Seob Kim Minsu Kim Sungsoo Ahn Jinkyoo Park OffRL 39 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 27 2 0 15 May 2023
DropDim: A Regularization Method for Transformer Networks Hao Zhang Dan Qu Kejia Shao Xu Yang 28 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 34 5 0 22 Feb 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
Multimodal Contrastive Learning via Uni-Modal Coding and Cross-Modal Prediction for Multimodal Sentiment Analysis Ronghao Lin Haifeng Hu SSL 23 15 0 26 Oct 2022
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble Hyunsoo Cho Choonghyun Park Jaewoo Kang Kang Min Yoo Taeuk Kim Sang-goo Lee OODD 30 8 0 20 Oct 2022
Relaxed Attention for Transformer Models Timo Lohrenz Björn Möller Zhengyang Li Tim Fingscheidt KELM 29 11 0 20 Sep 2022
Augmentation-induced Consistency Regularization for Classification Jianguo Wu Shijing Si Jianzong Wang Jing Xiao 21 2 0 25 May 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners Canyu Chen Kai Shu VLM 31 8 0 18 May 2022
TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding Le Zhang Zichao Yang Diyi Yang 36 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
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge Distillation Md. Akmal Haidar Mehdi Rezagholizadeh Abbas Ghaddar Khalil Bibi Philippe Langlais Pascal Poupart CLL 30 6 0 15 Apr 2022
Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data Yaoqing Yang Ryan Theisen Liam Hodgkinson Joseph E. Gonzalez Kannan Ramchandran Charles H. Martin Michael W. Mahoney 86 17 0 06 Feb 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 227 422 0 24 Jan 2022
The NiuTrans System for the WMT21 Efficiency Task Chenglong Wang Chi Hu Yongyu Mu Zhongxiang Yan Siming Wu ... Hang Cao Bei Li Ye Lin Tong Xiao Jingbo Zhu 29 2 0 16 Sep 2021
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 45 27 0 08 Sep 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 36 334 0 07 Jul 2021
R-Drop: Regularized Dropout for Neural Networks Xiaobo Liang Lijun Wu Juntao Li Yue Wang Qi Meng Tao Qin Wei Chen M. Zhang Tie-Yan Liu 47 424 0 28 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP Jiaao Chen Derek Tam Colin Raffel Joey Tianyi Zhou Diyi Yang 28 172 0 14 Jun 2021
Generate, Annotate, and Learn: NLP with Synthetic Text Xuanli He Islam Nassar J. Kiros Gholamreza Haffari Mohammad Norouzi 39 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 49 546 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 226 438 0 25 Sep 2019