Improving Robustness and Generality of NLP Models Using Disentangled Representations

21 September 2020

Jiwei Li

Papers citing "Improving Robustness and Generality of NLP Models Using Disentangled Representations"

50 / 76 papers shown

Title
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble Yi Zhou Xiaoqing Zheng Cho-Jui Hsieh Kai-Wei Chang Xuanjing Huang SILM 75 48 0 20 Jun 2020
Robustness Verification for Transformers Zhouxing Shi Huan Zhang Kai-Wei Chang Minlie Huang Cho-Jui Hsieh AAML 71 107 0 16 Feb 2020
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning Zheng Li Xin Li Ying Wei Lidong Bing Yu Zhang Qiang Yang 59 90 0 31 Oct 2019
A Unified MRC Framework for Named Entity Recognition Xiaoya Li Jingrong Feng Yuxian Meng Qinghong Han Leilei Gan Jiwei Li 72 636 0 25 Oct 2019
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension Adam Fisch Alon Talmor Robin Jia Minjoon Seo Eunsol Choi Danqi Chen 61 306 0 22 Oct 2019
A Mutual Information Maximization Perspective of Language Representation Learning Lingpeng Kong Cyprien de Masson dÁutume Wang Ling Lei Yu Zihang Dai Dani Yogatama SSL 248 167 0 18 Oct 2019
Specializing Word Embeddings (for Parsing) by Information Bottleneck Xiang Lisa Li Jason Eisner 55 67 0 01 Oct 2019
Large-scale Pretraining for Neural Machine Translation with Tens of Billions of Sentence Pairs Yuxian Meng Xiangyuan Ren Zijun Sun Xiaoya Li Arianna Yuan Leilei Gan Jiwei Li AIMat AI4CE 29 8 0 26 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 258 442 0 25 Sep 2019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation Po-Sen Huang Robert Stanforth Johannes Welbl Chris Dyer Dani Yogatama Sven Gowal Krishnamurthy Dvijotham Pushmeet Kohli AAML 62 165 0 03 Sep 2019
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 323 293 0 03 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 529 24,351 0 26 Jul 2019
SpanBERT: Improving Pre-training by Representing and Predicting Spans Mandar Joshi Danqi Chen Yinhan Liu Daniel S. Weld Luke Zettlemoyer Omer Levy 133 1,962 0 24 Jul 2019
Glyce: Glyph-vectors for Chinese Character Representations Yuxian Meng Wei Wu Fei Wang Xiaoya Li Ping Nie J. Mei Muyu Li Qinghong Han Xiaofei Sun Jiwei Li VLM 56 192 0 29 Jan 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 113 1,466 0 29 Nov 2018
Neural Adaptation Layers for Cross-domain Named Entity Recognition Bill Yuchen Lin Wei Lu 52 94 0 15 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.6K 94,511 0 11 Oct 2018
Meta-Learning for Low-Resource Neural Machine Translation Jiatao Gu Yong Wang Yun Chen Kyunghyun Cho Victor O.K. Li 74 342 0 25 Aug 2018
Learning deep representations by mutual information estimation and maximization R. Devon Hjelm A. Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio SSL DRL 302 2,661 0 20 Aug 2018
Design Challenges and Misconceptions in Neural Sequence Labeling Jie Yang Shuailong Liang Yue Zhang 140 164 0 12 Jun 2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text Motoki Sato Jun Suzuki Hiroyuki Shindo Yuji Matsumoto 47 191 0 08 May 2018
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension Adams Wei Yu David Dohan Minh-Thang Luong Rui Zhao Kai Chen Mohammad Norouzi Quoc V. Le RALM AIMat 84 1,095 0 23 Apr 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 402 928 0 21 Apr 2018
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer Juncen Li Robin Jia He He Percy Liang 84 553 0 17 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 320 718 0 17 Apr 2018
Understanding disentangling in $β$ -VAE Christopher P. Burgess I. Higgins Arka Pal Loic Matthey Nicholas Watters Guillaume Desjardins Alexander Lerchner CoGe DRL 57 829 0 10 Apr 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,346 0 16 Feb 2018
Auto-Encoding Total Correlation Explanation Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan BDL DRL 66 78 0 16 Feb 2018
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 86 1,618 0 19 Dec 2017
HotFlip: White-Box Adversarial Examples for Text Classification J. Ebrahimi Anyi Rao Daniel Lowd Dejing Dou AAML 52 78 0 19 Dec 2017
Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task Allyson Ettinger Sudha Rao Hal Daumé Emily M. Bender FedML 55 94 0 04 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 78 523 0 02 Nov 2017
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 160 600 0 31 Oct 2017
Adversarial Examples for Evaluating Reading Comprehension Systems Robin Jia Percy Liang AAML ELM 196 1,602 0 23 Jul 2017
Unsupervised Learning via Total Correlation Explanation Greg Ver Steeg SSL DRL LRM 43 16 0 27 Jun 2017
Zero-Shot Relation Extraction via Reading Comprehension Omer Levy Minjoon Seo Eunsol Choi Luke Zettlemoyer ReLM 64 691 0 13 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 642 130,942 0 12 Jun 2017
Transfer Learning for Named-Entity Recognition with Neural Networks Ji Young Lee Franck Dernoncourt Peter Szolovits 42 141 0 17 May 2017
Deep Text Classification Can be Fooled Bin Liang Hongcheng Li Miaoqiang Su Pan Bian Xirong Li Wenchang Shi AAML 73 424 0 26 Apr 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 134 1,514 1 19 Apr 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 169 2,878 0 14 Mar 2017
Data Noising as Smoothing in Neural Network Language Models Ziang Xie Sida I. Wang Jiwei Li Daniel Levy Allen Nie Dan Jurafsky A. Ng 54 238 0 07 Mar 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 98 1,407 0 02 Mar 2017
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 86 564 0 24 Dec 2016
Fast Domain Adaptation for Neural Machine Translation Markus Freitag Yaser Al-Onaizan 52 200 0 20 Dec 2016
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 98 1,714 0 01 Dec 2016
Bidirectional Attention Flow for Machine Comprehension Minjoon Seo Aniruddha Kembhavi Ali Farhadi Hannaneh Hajishirzi 131 2,089 0 05 Nov 2016
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies Tal Linzen Emmanuel Dupoux Yoav Goldberg 101 903 0 04 Nov 2016
Rationalizing Neural Predictions Tao Lei Regina Barzilay Tommi Jaakkola 108 812 0 13 Jun 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 157 4,232 0 12 Jun 2016