FreeLB: Enhanced Adversarial Training for Natural Language Understanding

25 September 2019

Papers citing "FreeLB: Enhanced Adversarial Training for Natural Language Understanding"

49 / 99 papers shown

Title
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models Wei Ping Chejian Xu Shuohang Wang Zhe Gan Yu Cheng Jianfeng Gao Ahmed Hassan Awadallah Yangqiu Song VLM ELM AAML 27 214 0 04 Nov 2021
CLLD: Contrastive Learning with Label Distance for Text Classification Jinhe Lan Qingyuan Zhan Chenhao Jiang Kunping Yuan Desheng Wang VLM 34 2 0 25 Oct 2021
Sharpness-Aware Minimization Improves Language Model Generalization Dara Bahri H. Mobahi Yi Tay 127 98 0 16 Oct 2021
Dense Contrastive Visual-Linguistic Pretraining Lei Shi Kai Shuang Shijie Geng Peng Gao Zuohui Fu Gerard de Melo Yunpeng Chen Sen Su VLM SSL 54 10 0 24 Sep 2021
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder Yao Qiu Jinchao Zhang Jie Zhou AAML SILM 27 16 0 14 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models Kun Zhou Wayne Xin Zhao Sirui Wang Fuzheng Zhang Wei Yu Wu Ji-Rong Wen AAML 21 7 0 13 Sep 2021
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding Tianda Li Ahmad Rashid A. Jafari Pranav Sharma A. Ghodsi Mehdi Rezagholizadeh AAML 30 5 0 13 Sep 2021
TREATED:Towards Universal Defense against Textual Adversarial Attacks Bin Zhu Zhaoquan Gu Le Wang Zhihong Tian AAML 36 8 0 13 Sep 2021
Counterfactual Adversarial Learning with Representation Interpolation Wen Wang Wei Ping Ning Shi Jinfeng Li Bingyu Zhu Xiangyu Liu Rongxin Zhang AAML OOD CML 21 2 0 10 Sep 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 64 689 0 04 Sep 2021
How Does Adversarial Fine-Tuning Benefit BERT? J. Ebrahimi Hao Yang Wei Zhang AAML 26 4 0 31 Aug 2021
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution Zongyi Li Jianhan Xu Jiehang Zeng Linyang Li Xiaoqing Zheng Qi Zhang Kai-Wei Chang Cho-Jui Hsieh AAML 8 73 0 29 Aug 2021
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation Pan Xie Zexian Li Xiaohui Hu 34 11 0 19 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers Lu Wang Munif Ishad Mujib Jake Williams G. Demiris Jina Huh-Yoo AI4MH 27 32 0 28 Jul 2021
Adversarial Reinforced Instruction Attacker for Robust Vision-Language Navigation Bingqian Lin Yi Zhu Yanxin Long Xiaodan Liang QiXiang Ye Liang Lin AAML 39 16 0 23 Jul 2021
Improved Text Classification via Contrastive Adversarial Training Lin Pan Chung-Wei Hang Avirup Sil Saloni Potdar AAML 23 86 0 21 Jul 2021
Noise Stability Regularization for Improving BERT Fine-tuning Hang Hua Xingjian Li Dejing Dou Chengzhong Xu Jiebo Luo 19 43 0 10 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 36 334 0 07 Jul 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding Dong Wang Ning Ding Pijian Li Haitao Zheng AAML 37 115 0 01 Jul 2021
Consistency Regularization for Cross-Lingual Fine-Tuning Bo Zheng Li Dong Shaohan Huang Wenhui Wang Zewen Chi Saksham Singhal Wanxiang Che Ting Liu Xia Song Furu Wei 19 58 0 15 Jun 2021
SSMix: Saliency-Based Span Mixup for Text Classification Soyoung Yoon Gyuwan Kim Kyumin Park 22 68 0 15 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
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 30 433 0 09 Jun 2021
Defending Against Backdoor Attacks in Natural Language Generation Xiaofei Sun Xiaoya Li Yuxian Meng Xiang Ao Fei Wu Jiwei Li Tianwei Zhang AAML SILM 31 47 0 03 Jun 2021
Self-Guided Contrastive Learning for BERT Sentence Representations Taeuk Kim Kang Min Yoo Sang-goo Lee SSL 39 202 0 03 Jun 2021
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering Weiwen Xu Huihui Zhang Deng Cai Wai Lam 34 34 0 25 May 2021
Improved OOD Generalization via Adversarial Training and Pre-training Mingyang Yi Lu Hou Jiacheng Sun Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma VLM 28 83 0 24 May 2021
Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews M. Hadi Fatemeh H. Fard 13 30 0 12 Apr 2021
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss Mingyang Yi Lu Hou Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma 12 19 0 16 Mar 2021
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models Linjie Li Zhe Gan Jingjing Liu VLM 33 42 0 15 Dec 2020
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Seanie Lee Dong Bok Lee Sung Ju Hwang 24 106 0 14 Dec 2020
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering Mokanarangan Thayaparan Marco Valentino André Freitas LRM 20 9 0 25 Oct 2020
Posterior Differential Regularization with f-divergence for Improving Model Robustness Hao Cheng Xiaodong Liu L. Pereira Yaoliang Yu Jianfeng Gao 248 31 0 23 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 29 48 0 19 Oct 2020
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective Wei Ping Shuohang Wang Yu Cheng Zhe Gan R. Jia Bo-wen Li Jingjing Liu AAML 46 113 0 05 Oct 2020
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation Dinghan Shen Ming Zheng Yelong Shen Yanru Qu Weizhu Chen AAML 26 130 0 29 Sep 2020
FireBERT: Hardening BERT-based classifiers against adversarial attack Gunnar Mein Kevin Hartman Andrew Morris SILM AAML 14 0 0 10 Aug 2020
Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification Xin Luna Dong Yaxin Zhu Yupeng Zhang Zuohui Fu Dongkuan Xu Sen Yang Gerard de Melo VLM 27 30 0 29 Jul 2020
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients Chenfei Zhu Yu Cheng Zhe Gan Furong Huang Jingjing Liu Tom Goldstein ODL 29 2 0 21 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning Zhe Gan Yen-Chun Chen Linjie Li Chen Zhu Yu Cheng Jingjing Liu ObjD VLM 35 488 0 11 Jun 2020
UnifiedQA: Crossing Format Boundaries With a Single QA System Daniel Khashabi Sewon Min Tushar Khot Ashish Sabharwal Oyvind Tafjord Peter Clark Hannaneh Hajishirzi 35 719 0 02 May 2020
Generative Data Augmentation for Commonsense Reasoning Yiben Yang Chaitanya Malaviya Jared Fernandez Swabha Swayamdipta Ronan Le Bras Ji-ping Wang Chandra Bhagavatula Yejin Choi Doug Downey LRM 22 91 0 24 Apr 2020
Adversarial Training for Large Neural Language Models Xiaodong Liu Hao Cheng Pengcheng He Weizhu Chen Yu-Chiang Frank Wang Hoifung Poon Jianfeng Gao AAML 26 183 0 20 Apr 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning Tianlong Chen Sijia Liu Shiyu Chang Yu Cheng Lisa Amini Zhangyang Wang AAML 18 246 0 28 Mar 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,452 0 18 Mar 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,959 0 20 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 202 711 0 17 Apr 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 273 3,110 0 04 Nov 2016