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Adversarial Training Methods for Semi-Supervised Text Classification

Adversarial Training Methods for Semi-Supervised Text Classification

25 May 2016
Takeru Miyato
Andrew M. Dai
Ian Goodfellow
    GAN
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Papers citing "Adversarial Training Methods for Semi-Supervised Text Classification"

50 / 177 papers shown
Title
Detect Rumors in Microblog Posts for Low-Resource Domains via
  Adversarial Contrastive Learning
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning
Hongzhan Lin
Jing Ma
Liangliang Chen
Zhiwei Yang
Mingfei Cheng
Guang Chen
47
55
0
18 Apr 2022
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms
  Detection
HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection
Zheng Chu
Ziqing Yang
Yiming Cui
Zhigang Chen
Ming Liu
32
4
0
13 Apr 2022
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for
  Semi-supervised Text Classification
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification
Kunze Wang
S. Han
Siqu Long
Josiah Poon
24
20
0
10 Apr 2022
Adversarial Training for Improving Model Robustness? Look at Both
  Prediction and Interpretation
Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
Hanjie Chen
Yangfeng Ji
OOD
AAML
VLM
34
21
0
23 Mar 2022
Faithfulness in Natural Language Generation: A Systematic Survey of
  Analysis, Evaluation and Optimization Methods
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
Wei Li
Wenhao Wu
Moye Chen
Jiachen Liu
Xinyan Xiao
Hua Wu
HILM
29
27
0
10 Mar 2022
Improving Health Mentioning Classification of Tweets using Contrastive
  Adversarial Training
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training
Pervaiz Iqbal Khan
Shoaib Ahmed Siddiqui
Imran Razzak
Andreas Dengel
Sheraz Ahmed
21
3
0
03 Mar 2022
Multilingual Abusiveness Identification on Code-Mixed Social Media Text
Multilingual Abusiveness Identification on Code-Mixed Social Media Text
Ekagra Ranjan
Naman Poddar
29
0
0
01 Mar 2022
Text Smoothing: Enhance Various Data Augmentation Methods on Text
  Classification Tasks
Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks
Xing Wu
Chaochen Gao
Meng Lin
Liangjun Zang
Zhongyuan Wang
Songlin Hu
22
25
0
28 Feb 2022
Improving Lexical Embeddings for Robust Question Answering
Improving Lexical Embeddings for Robust Question Answering
Weiwen Xu
Bowei Zou
Wai Lam
Ai Ti Aw
OOD
AAML
21
1
0
28 Feb 2022
A Semi-supervised Learning Approach with Two Teachers to Improve
  Breakdown Identification in Dialogues
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
Qian Lin
Hwee Tou Ng
32
4
0
22 Feb 2022
Identifying Adversarial Attacks on Text Classifiers
Identifying Adversarial Attacks on Text Classifiers
Zhouhang Xie
Jonathan Brophy
Adam Noack
Wencong You
Kalyani Asthana
Carter Perkins
Sabrina Reis
Sameer Singh
Daniel Lowd
AAML
31
9
0
21 Jan 2022
Semantic Communications: Principles and Challenges
Semantic Communications: Principles and Challenges
Zhijin Qin
Xiaoming Tao
Jianhua Lu
Wen Tong
Geoffrey Ye Li
33
338
0
30 Dec 2021
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial
  Robustness?
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Xinhsuai Dong
Anh Tuan Luu
Min Lin
Shuicheng Yan
Hanwang Zhang
SILM
AAML
25
55
0
22 Dec 2021
Measure and Improve Robustness in NLP Models: A Survey
Measure and Improve Robustness in NLP Models: A Survey
Xuezhi Wang
Haohan Wang
Diyi Yang
139
131
0
15 Dec 2021
Taming Overconfident Prediction on Unlabeled Data from Hindsight
Taming Overconfident Prediction on Unlabeled Data from Hindsight
Jing Li
Yuangang Pan
Ivor W. Tsang
21
1
0
15 Dec 2021
Multilingual Text Classification for Dravidian Languages
Multilingual Text Classification for Dravidian Languages
Xiaotian Lin
Nankai Lin
Kanoksak Wattanachote
Shengyi Jiang
Lianxi Wang
77
3
0
03 Dec 2021
LTD: Low Temperature Distillation for Robust Adversarial Training
LTD: Low Temperature Distillation for Robust Adversarial Training
Erh-Chung Chen
Che-Rung Lee
AAML
27
26
0
03 Nov 2021
CAP: Co-Adversarial Perturbation on Weights and Features for Improving
  Generalization of Graph Neural Networks
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks
Hao Xue
Kaixiong Zhou
Tianlong Chen
Kai Guo
Xia Hu
Yi Chang
Xin Wang
AAML
32
15
0
28 Oct 2021
Adversarial Attacks and Defenses for Social Network Text Processing
  Applications: Techniques, Challenges and Future Research Directions
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
I. Alsmadi
Kashif Ahmad
Mahmoud Nazzal
Firoj Alam
Ala I. Al-Fuqaha
Abdallah Khreishah
A. Algosaibi
AAML
37
16
0
26 Oct 2021
Doubly-Trained Adversarial Data Augmentation for Neural Machine
  Translation
Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation
Weiting Tan
Shuoyang Ding
Huda Khayrallah
Philipp Koehn
SILM
AAML
37
1
0
12 Oct 2021
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained
  Annotated Data
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data
Dheeraj Mekala
Varun Gangal
Jingbo Shang
AI4TS
40
22
0
22 Sep 2021
Improving Gradient-based Adversarial Training for Text Classification by
  Contrastive Learning and Auto-Encoder
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder
Yao Qiu
Jinchao Zhang
Jie Zhou
AAML
SILM
40
16
0
14 Sep 2021
Virtual Data Augmentation: A Robust and General Framework for
  Fine-tuning Pre-trained Models
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Kun Zhou
Wayne Xin Zhao
Sirui Wang
Fuzheng Zhang
Wei Wu
Ji-Rong Wen
AAML
34
7
0
13 Sep 2021
TREATED:Towards Universal Defense against Textual Adversarial Attacks
TREATED:Towards Universal Defense against Textual Adversarial Attacks
Bin Zhu
Zhaoquan Gu
Le Wang
Zhihong Tian
AAML
36
8
0
13 Sep 2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning
  and Language Model Augmented Self-Training
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
Yu Meng
Yunyi Zhang
Jiaxin Huang
Xuan Wang
Yu Zhang
Heng Ji
Jiawei Han
49
70
0
10 Sep 2021
Counterfactual Adversarial Learning with Representation Interpolation
Counterfactual Adversarial Learning with Representation Interpolation
Wen Wang
Wei Ping
Ning Shi
Jinfeng Li
Bingyu Zhu
Xiangyu Liu
Rongxin Zhang
AAML
OOD
CML
26
2
0
10 Sep 2021
Automated Robustness with Adversarial Training as a Post-Processing Step
Automated Robustness with Adversarial Training as a Post-Processing Step
Ambrish Rawat
M. Sinn
Beat Buesser
AAML
19
0
0
06 Sep 2021
How Does Adversarial Fine-Tuning Benefit BERT?
How Does Adversarial Fine-Tuning Benefit BERT?
J. Ebrahimi
Hao Yang
Wei Zhang
AAML
26
4
0
31 Aug 2021
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot
  Event Classification
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
Peiyi Wang
Runxin Xu
Tianyu Liu
Damai Dai
Baobao Chang
Zhifang Sui
27
16
0
29 Aug 2021
DropAttack: A Masked Weight Adversarial Training Method to Improve
  Generalization of Neural Networks
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks
Shiwen Ni
Jiawen Li
Hung-Yu kao
AAML
24
4
0
29 Aug 2021
Self-training Improves Pre-training for Few-shot Learning in
  Task-oriented Dialog Systems
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
Fei Mi
Wanhao Zhou
Feng Cai
Lingjing Kong
Minlie Huang
Boi Faltings
27
32
0
28 Aug 2021
An Effective System for Multi-format Information Extraction
An Effective System for Multi-format Information Extraction
Yaduo Liu
Longhui Zhang
Shujuan Yin
Xiaofeng Zhao
Feiliang Ren
32
1
0
16 Aug 2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Sewon Min
Michael Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
VLM
40
218
0
09 Aug 2021
More but Correct: Generating Diversified and Entity-revised Medical
  Response
More but Correct: Generating Diversified and Entity-revised Medical Response
Bin Li
Encheng Chen
Hongrui Liu
Yixuan Weng
Bin Sun
Shutao Li
Yongping Bai
Meiling Hu
MedIm
19
11
0
03 Aug 2021
Towards Robustness Against Natural Language Word Substitutions
Towards Robustness Against Natural Language Word Substitutions
Xinshuai Dong
A. Luu
Rongrong Ji
Hong Liu
SILM
AAML
38
113
0
28 Jul 2021
Context-aware Adversarial Training for Name Regularity Bias in Named
  Entity Recognition
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition
Abbas Ghaddar
Philippe Langlais
Ahmad Rashid
Mehdi Rezagholizadeh
41
43
0
24 Jul 2021
Improved Text Classification via Contrastive Adversarial Training
Improved Text Classification via Contrastive Adversarial Training
Lin Pan
Chung-Wei Hang
Avirup Sil
Saloni Potdar
AAML
28
86
0
21 Jul 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
40
336
0
07 Jul 2021
CLINE: Contrastive Learning with Semantic Negative Examples for Natural
  Language Understanding
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Dong Wang
Ning Ding
Pijian Li
Haitao Zheng
AAML
39
115
0
01 Jul 2021
Learn to Resolve Conversational Dependency: A Consistency Training
  Framework for Conversational Question Answering
Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering
Gangwoo Kim
Hyunjae Kim
Jungsoo Park
Jaewoo Kang
36
38
0
22 Jun 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised
  Learning
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Krishnateja Killamsetty
Xujiang Zhao
F. Chen
Rishabh K. Iyer
24
78
0
14 Jun 2021
An Empirical Survey of Data Augmentation for Limited Data Learning in
  NLP
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
Jiaao Chen
Derek Tam
Colin Raffel
Joey Tianyi Zhou
Diyi Yang
35
172
0
14 Jun 2021
Defending Against Backdoor Attacks in Natural Language Generation
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
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation
Ahmad Rashid
Vasileios Lioutas
Mehdi Rezagholizadeh
AAML
15
36
0
12 May 2021
On Guaranteed Optimal Robust Explanations for NLP Models
On Guaranteed Optimal Robust Explanations for NLP Models
Emanuele La Malfa
A. Zbrzezny
Rhiannon Michelmore
Nicola Paoletti
Marta Z. Kwiatkowska
FAtt
19
47
0
08 May 2021
Addressing the Vulnerability of NMT in Input Perturbations
Addressing the Vulnerability of NMT in Input Perturbations
Weiwen Xu
Ai Ti Aw
Yang Ding
Kui Wu
Chenyu You
AAML
31
10
0
20 Apr 2021
Making Attention Mechanisms More Robust and Interpretable with Virtual
  Adversarial Training
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training
Shunsuke Kitada
Hitoshi Iyatomi
AAML
30
8
0
18 Apr 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization
  Approach
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach
Simiao Zuo
Chen Liang
Haoming Jiang
Xiaodong Liu
Pengcheng He
Jianfeng Gao
Weizhu Chen
T. Zhao
58
9
0
11 Apr 2021
Data Augmentation in Natural Language Processing: A Novel Text
  Generation Approach for Long and Short Text Classifiers
Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers
Markus Bayer
M. Kaufhold
Björn Buchhold
Marcel Keller
J. Dallmeyer
Christian A. Reuter
31
114
0
26 Mar 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
27
569
0
28 Feb 2021
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