Adversarial Training Methods for Semi-Supervised Text Classification

25 May 2016

Papers citing "Adversarial Training Methods for Semi-Supervised Text Classification"

50 / 177 papers shown

Title
BERT-based Acronym Disambiguation with Multiple Training Strategies Chunguang Pan Bingyan Song Shengguang Wang Zhipeng Luo 27 18 0 25 Feb 2021
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out Peiran Yao Denilson Barbosa 37 6 0 03 Feb 2021
On Robustness of Neural Semantic Parsers Shuo Huang Zhuang Li Lizhen Qu Lei Pan AAML 23 16 0 02 Feb 2021
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests Jiaao Chen Diyi Yang 27 20 0 16 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,930 0 31 Dec 2020
Towards Zero-Shot Knowledge Distillation for Natural Language Processing Ahmad Rashid Vasileios Lioutas Abbas Ghaddar Mehdi Rezagholizadeh 23 27 0 31 Dec 2020
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding Hao Fu Shaojun Zhou Qihong Yang Junjie Tang Guiquan Liu Kaikui Liu Xiaolong Li 54 58 0 14 Dec 2020
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation Seanie Lee Dong Bok Lee Sung Ju Hwang 27 106 0 14 Dec 2020
Unsupervised Adversarially-Robust Representation Learning on Graphs Jiarong Xu Yang Yang Junru Chen Chunping Wang Xin Jiang Jiangang Lu Yizhou Sun SSL AAML OOD 38 36 0 04 Dec 2020
ColdGAN: Resolving Cold Start User Recommendation by using Generative Adversarial Networks Po-Lin Lai Chih-Yun Chen Liang-Wei Lo C. Chen 24 2 0 25 Nov 2020
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification Linyi Yang Eoin M. Kenny T. L. J. Ng Yi Yang Barry Smyth Ruihai Dong 15 70 0 23 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong Ge Li Mucong Ding Zuxuan Wu Chen Zhu Guohao Li Gavin Taylor Tom Goldstein 106 75 0 19 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 39 48 0 19 Oct 2020
HABERTOR: An Efficient and Effective Deep Hatespeech Detector T. Tran Yifan Hu Changwei Hu Kevin Yen Fei Tan Kyumin Lee Serim Park VLM 34 32 0 17 Oct 2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach Yu Meng Yunyi Zhang Jiaxin Huang Chenyan Xiong Heng Ji Chao Zhang Jiawei Han VLM 55 75 0 14 Oct 2020
Regularizing Neural Networks via Adversarial Model Perturbation Yaowei Zheng Richong Zhang Yongyi Mao AAML 30 95 0 10 Oct 2020
Adversarial Attack and Defense of Structured Prediction Models Wenjuan Han Liwen Zhang Yong-jia Jiang Kewei Tu AAML 12 37 0 04 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 29 130 0 29 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification Jiaxiang Liu Xuyi Chen Shikun Feng Shuohuan Wang Ouyang Xuan Yu Sun Zhengjie Huang Weiyue Su 35 19 0 08 Sep 2020
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition Jiuniu Wang Wenjia Xu Xingyu Fu Guangluan Xu Yirong Wu 27 57 0 02 Sep 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 37 30 0 29 Jul 2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation Yong Cheng Lu Jiang Wolfgang Macherey Jacob Eisenstein 39 115 0 21 Jun 2020
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble Yi Zhou Xiaoqing Zheng Cho-Jui Hsieh Kai-Wei Chang Xuanjing Huang SILM 39 48 0 20 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 35 489 0 11 Jun 2020
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks Arash Rahnama A.-Yu Tseng FAtt AAML FaML 25 5 0 20 May 2020
Quda: Natural Language Queries for Visual Data Analytics Siwei Fu Kai Xiong Xiaodong Ge Siliang Tang Wei Chen Yingcai Wu 14 26 0 07 May 2020
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research Soujanya Poria Devamanyu Hazarika Navonil Majumder Rada Mihalcea 53 207 0 01 May 2020
Adversarial Subword Regularization for Robust Neural Machine Translation Jungsoo Park Mujeen Sung Jinhyuk Lee Jaewoo Kang 24 8 0 29 Apr 2020
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision Damien Teney Ehsan Abbasnejad Anton Van Den Hengel OOD SSL CML 37 118 0 20 Apr 2020
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space Xiaoyuan Yi Ruoyu Li Cheng Yang Wenhao Li Maosong Sun 17 34 0 13 Mar 2020
Extreme Classification via Adversarial Softmax Approximation Robert Bamler Stephan Mandt 30 23 0 15 Feb 2020
Adversarial Robustness for Code Pavol Bielik Martin Vechev AAML 22 89 0 11 Feb 2020
Feature-map-level Online Adversarial Knowledge Distillation Inseop Chung Seonguk Park Jangho Kim Nojun Kwak GAN 30 128 0 05 Feb 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 31 104 0 16 Jan 2020
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 24 9 0 22 Dec 2019
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling Tsu-Jui Fu Junfeng Fang Matthew F. Peterson Scott T. Grafton Miguel P. Eckstein William Yang Wang 57 41 0 17 Nov 2019
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events Sharaj Panwar P. Rad T. Jung Yufei Huang GAN 37 51 0 11 Nov 2019
Improving Machine Reading Comprehension via Adversarial Training Ziqing Yang Yiming Cui Wanxiang Che Ting Liu Shijin Wang Guoping Hu 27 17 0 09 Nov 2019
A Neural Entity Coreference Resolution Review Nikolaos Stylianou I. Vlahavas 24 38 0 21 Oct 2019
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories Yu Zhang Frank F. Xu Sha Li Yu Meng Xuan Wang Qi Li Jiawei Han 45 41 0 16 Oct 2019
Distilling BERT into Simple Neural Networks with Unlabeled Transfer Data Subhabrata Mukherjee Ahmed Hassan Awadallah 26 25 0 04 Oct 2019
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 244 270 0 30 Sep 2019
Adversarial Training Methods for Network Embedding Quanyu Dai X. Shen Liang Zhang Qiang Li Dan Wang GAN 13 103 0 30 Aug 2019
Non-local Recurrent Neural Memory for Supervised Sequence Modeling Canmiao Fu Wenjie Pei Qiong Cao Chaopeng Zhang Yong Zhao Xiaoyong Shen Yu-Wing Tai 24 11 0 26 Aug 2019
Structure-Invariant Testing for Machine Translation Pinjia He Clara Meister Z. Su 27 104 0 19 Jul 2019
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification Hao Peng Jianxin Li Qiran Gong Senzhang Wang Lifang He Bo Li Lihong Wang Philip S. Yu GNN 14 141 0 09 Jun 2019
Robust Neural Machine Translation with Doubly Adversarial Inputs Yong Cheng Lu Jiang Wolfgang Macherey AAML 35 254 0 06 Jun 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 27 187 0 29 May 2019
ShapeGlot: Learning Language for Shape Differentiation Panos Achlioptas Judy Fan Robert D. Hawkins Noah D. Goodman Leonidas J. Guibas 36 83 0 08 May 2019