ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1605.07725
  4. Cited By
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
ArXivPDFHTML

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

27 / 177 papers shown
Title
Negative Training for Neural Dialogue Response Generation
Negative Training for Neural Dialogue Response Generation
Tianxing He
James R. Glass
30
59
0
06 Mar 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node
  Classification
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification
Ke Sun
Zhouchen Lin
Hantao Guo
Zhanxing Zhu
24
24
0
28 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks
Batch Virtual Adversarial Training for Graph Convolutional Networks
Zhijie Deng
Yinpeng Dong
Jun Zhu
GNN
28
63
0
25 Feb 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph
  Structure
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Fuli Feng
Xiangnan He
Jie Tang
Tat-Seng Chua
OOD
AAML
34
219
0
20 Feb 2019
Adversarial Attacks on Deep Learning Models in Natural Language
  Processing: A Survey
Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey
W. Zhang
Quan Z. Sheng
A. Alhazmi
Chenliang Li
AAML
24
57
0
21 Jan 2019
TextBugger: Generating Adversarial Text Against Real-world Applications
TextBugger: Generating Adversarial Text Against Real-world Applications
Jinfeng Li
S. Ji
Tianyu Du
Bo Li
Ting Wang
SILM
AAML
75
723
0
13 Dec 2018
Discrete Adversarial Attacks and Submodular Optimization with
  Applications to Text Classification
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification
Qi Lei
Lingfei Wu
Pin-Yu Chen
A. Dimakis
Inderjit S. Dhillon
Michael Witbrock
AAML
21
92
0
01 Dec 2018
Improved Dynamic Memory Network for Dialogue Act Classification with
  Adversarial Training
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training
Yao Wan
Wenqiang Yan
Jianwei Gao
Zhou Zhao
Jian Wu
Philip S. Yu
27
10
0
12 Nov 2018
Adversarial Sampling and Training for Semi-Supervised Information
  Retrieval
Adversarial Sampling and Training for Semi-Supervised Information Retrieval
Dae Hoon Park
Yi-Ju Chang
FedML
25
101
0
09 Nov 2018
Semi-Supervised Sequence Modeling with Cross-View Training
Semi-Supervised Sequence Modeling with Cross-View Training
Kevin Clark
Minh-Thang Luong
Christopher D. Manning
Quoc V. Le
SSL
11
333
0
22 Sep 2018
Using the Tsetlin Machine to Learn Human-Interpretable Rules for
  High-Accuracy Text Categorization with Medical Applications
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications
G. T. Berge
Ole-Christoffer Granmo
Tor Tveit
Morten Goodwin
Lei Jiao
B. Matheussen
VLM
33
75
0
12 Sep 2018
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health
  Degree Prediction
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction
Jianguo Zhang
Ji Wang
Lifang He
Zhao Li
Philip S. Yu
29
31
0
11 Sep 2018
Adversarial training for multi-context joint entity and relation
  extraction
Adversarial training for multi-context joint entity and relation extraction
Giannis Bekoulis
Johannes Deleu
T. Demeester
Chris Develder
GAN
27
174
0
21 Aug 2018
Text Classification using Capsules
Text Classification using Capsules
Jaeyoung Kim
Sion Jang
Sungchul Choi
Eunjeong Lucy Park
33
160
0
12 Aug 2018
Adversarial Personalized Ranking for Recommendation
Adversarial Personalized Ranking for Recommendation
Xiangnan He
Zhankui He
Xiaoyu Du
Tat-Seng Chua
32
395
0
12 Aug 2018
Sparsely Grouped Multi-task Generative Adversarial Networks for Facial
  Attribute Manipulation
Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
Jichao Zhang
Yezhi Shu
Songhua Xu
Gongze Cao
Fan Zhong
Meng Liu
Xueying Qin
CVBM
35
35
0
19 May 2018
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Interpretable Adversarial Perturbation in Input Embedding Space for Text
Motoki Sato
Jun Suzuki
Hiroyuki Shindo
Yuji Matsumoto
24
188
0
08 May 2018
Reinforced Co-Training
Reinforced Co-Training
Jiawei Wu
Lei Li
William Yang Wang
OffRL
25
51
0
17 Apr 2018
Deep Automated Multi-task Learning
Deep Automated Multi-task Learning
Davis Liang
Yang Shu
AIMat
43
9
0
16 Sep 2017
Learning Graph Topological Features via GAN
Learning Graph Topological Features via GAN
Weiyi Liu
Hal Cooper
Min Hwan Oh
Fucai Yu
Pin-Yu Chen
Toyotaro Suzumura
Guangmin Hu
GAN
AI4CE
25
25
0
11 Sep 2017
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Victor Campos
Brendan Jou
Xavier Giró-i-Nieto
Jordi Torres
Shih-Fu Chang
26
217
0
22 Aug 2017
Learned in Translation: Contextualized Word Vectors
Learned in Translation: Contextualized Word Vectors
Bryan McCann
James Bradbury
Caiming Xiong
R. Socher
62
907
0
01 Aug 2017
Contextual Explanation Networks
Contextual Explanation Networks
Maruan Al-Shedivat
Kumar Avinava Dubey
Eric Xing
CML
37
82
0
29 May 2017
Regularizing deep networks using efficient layerwise adversarial
  training
Regularizing deep networks using efficient layerwise adversarial training
S. Sankaranarayanan
Arpit Jain
Rama Chellappa
Ser Nam Lim
AAML
30
97
0
22 May 2017
Learning to Generate Reviews and Discovering Sentiment
Learning to Generate Reviews and Discovering Sentiment
Alec Radford
Rafal Jozefowicz
Ilya Sutskever
44
506
0
05 Apr 2017
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency
Adji Bousso Dieng
Chong-Jun Wang
Jianfeng Gao
John Paisley
27
243
0
05 Nov 2016
Convolutional Neural Networks for Text Categorization: Shallow
  Word-level vs. Deep Character-level
Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level
Rie Johnson
Tong Zhang
19
48
0
31 Aug 2016
Previous
1234