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Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

13 April 2017
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
    GAN
ArXivPDFHTML

Papers citing "Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning"

50 / 1,262 papers shown
Title
An analysis of over-sampling labeled data in semi-supervised learning
  with FixMatch
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch
Miquel Martí i Rabadán
Sebastian Bujwid
Alessandro Pieropan
Hossein Azizpour
A. Maki
16
5
0
03 Jan 2022
Evaluating Deep Music Generation Methods Using Data Augmentation
Evaluating Deep Music Generation Methods Using Data Augmentation
Toby Godwin
Georgios Rizos
Alice Baird
N. A. Futaisi
Vincent Brisse
Bjoern W. Schuller
MGen
20
0
0
31 Dec 2021
Semi-supervised Salient Object Detection with Effective Confidence
  Estimation
Semi-supervised Salient Object Detection with Effective Confidence Estimation
Jiawei Liu
Jing Zhang
Nick Barnes
46
4
0
28 Dec 2021
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled
  Images as Reference
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
Peng Tu
Yawen Huang
Feng Zheng
Zhenyu He
Liujun Cao
Ling Shao
32
23
0
28 Dec 2021
Regularizing End-to-End Speech Translation with Triangular Decomposition
  Agreement
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement
Yichao Du
Zhirui Zhang
Weizhi Wang
Boxing Chen
Jun Xie
Tong Xu
67
22
0
21 Dec 2021
AutoTransfer: Subject Transfer Learning with Censored Representations on
  Biosignals Data
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data
Niklas Smedemark-Margulies
Ye Wang
T. Koike-Akino
Deniz Erdogmus
OOD
22
5
0
17 Dec 2021
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Yinghao Xu
Fangyun Wei
Xiao Sun
Ceyuan Yang
Yujun Shen
Bo Dai
Bolei Zhou
Stephen Lin
VLM
33
52
0
17 Dec 2021
Local contrastive loss with pseudo-label based self-training for
  semi-supervised medical image segmentation
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
22
121
0
17 Dec 2021
Sharpness-Aware Minimization with Dynamic Reweighting
Sharpness-Aware Minimization with Dynamic Reweighting
Wenxuan Zhou
Fangyu Liu
Huan Zhang
Muhao Chen
AAML
31
8
0
16 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
26
1
0
15 Dec 2021
A Survey of Unsupervised Domain Adaptation for Visual Recognition
A Survey of Unsupervised Domain Adaptation for Visual Recognition
Youshan Zhang
OOD
32
44
0
13 Dec 2021
Quantifying and Understanding Adversarial Examples in Discrete Input
  Spaces
Quantifying and Understanding Adversarial Examples in Discrete Input Spaces
Volodymyr Kuleshov
Evgenii Nikishin
S. Thakoor
Tingfung Lau
Stefano Ermon
AAML
27
1
0
12 Dec 2021
Revisiting Consistency Regularization for Semi-Supervised Learning
Revisiting Consistency Regularization for Semi-Supervised Learning
Yue Fan
Anna Kukleva
Bernt Schiele
30
59
0
10 Dec 2021
Enhancing Counterfactual Classification via Self-Training
Enhancing Counterfactual Classification via Self-Training
Ruijiang Gao
Max Biggs
Wei-Ju Sun
Ligong Han
CML
OffRL
37
6
0
08 Dec 2021
Human Parity on CommonsenseQA: Augmenting Self-Attention with External
  Attention
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention
Yichong Xu
Chenguang Zhu
Shuohang Wang
Siqi Sun
Hao Cheng
Xiaodong Liu
Jianfeng Gao
Pengcheng He
Michael Zeng
Xuedong Huang
LRM
254
55
0
06 Dec 2021
General Facial Representation Learning in a Visual-Linguistic Manner
General Facial Representation Learning in a Visual-Linguistic Manner
Yinglin Zheng
Hao Yang
Ting Zhang
Jianmin Bao
Dongdong Chen
Yangyu Huang
Lu Yuan
Dong Chen
Ming Zeng
Fang Wen
CVBM
146
164
0
06 Dec 2021
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
Ruoyi Du
Dongliang Chang
Zhanyu Ma
Yi-Zhe Song
Jun Guo
OODD
31
1
0
06 Dec 2021
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality
  Forecasting
Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting
Abdulmajid Murad
F. Kraemer
Kerstin Bach
Gavin Taylor
OOD
BDL
UQCV
25
12
0
05 Dec 2021
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial
  Domain Adaptation
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation
Tianyue Zheng
Zhe Chen
Shuya Ding
Chao Cai
Jun Luo
AAML
35
5
0
01 Dec 2021
Point Cloud Instance Segmentation with Semi-supervised Bounding-Box
  Mining
Point Cloud Instance Segmentation with Semi-supervised Bounding-Box Mining
Yongbin Liao
Erik Cambria
Yang-ting Zhang
Chuangguan Ye
Tao Chen
Jiayuan Fan
ISeg
3DPC
36
22
0
30 Nov 2021
Pyramid Adversarial Training Improves ViT Performance
Pyramid Adversarial Training Improves ViT Performance
Charles Herrmann
Kyle Sargent
Lu Jiang
Ramin Zabih
Huiwen Chang
Ce Liu
Dilip Krishnan
Deqing Sun
ViT
39
56
0
30 Nov 2021
Weakly-supervised Generative Adversarial Networks for medical image
  classification
Weakly-supervised Generative Adversarial Networks for medical image classification
Jia-min Mao
Xuesong Yin
Yuan Chang
Qi Huang
GAN
MedIm
19
1
0
29 Nov 2021
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with
  Semi-Supervised Learning and Explicit Policy Injection
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection
Wanwei He
Yinpei Dai
Yinhe Zheng
Yuchuan Wu
Zhen Cao
...
Min Yang
Feiling Huang
Luo Si
Jian Sun
Yongbin Li
VLM
34
157
0
29 Nov 2021
Contrastive Vicinal Space for Unsupervised Domain Adaptation
Contrastive Vicinal Space for Unsupervised Domain Adaptation
Jaemin Na
Dongyoon Han
H. Chang
Wonjun Hwang
36
20
0
26 Nov 2021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image
  Classification
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Fengbei Liu
Yu Tian
Yuanhong Chen
Yuyuan Liu
Vasileios Belagiannis
G. Carneiro
43
78
0
25 Nov 2021
Perturbed and Strict Mean Teachers for Semi-supervised Semantic
  Segmentation
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Yuyuan Liu
Yu Tian
Yuanhong Chen
Fengbei Liu
Vasileios Belagiannis
G. Carneiro
41
177
0
25 Nov 2021
Causality-inspired Single-source Domain Generalization for Medical Image
  Segmentation
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
Cheng Ouyang
Chen Chen
Surui Li
Zeju Li
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
37
156
0
24 Nov 2021
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
41
10
0
23 Nov 2021
Exploring Feature Representation Learning for Semi-supervised Medical
  Image Segmentation
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
Huimin Wu
Xuelong Li
Kwang-Ting Cheng
33
13
0
22 Nov 2021
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object
  Detection
MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
Jongmok Kim
JooYoung Jang
Seunghyeon Seo
Jisoo Jeong
Jongkeun Na
Nojun Kwak
25
40
0
22 Nov 2021
Self-supervised Semi-supervised Learning for Data Labeling and Quality
  Evaluation
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation
Haoping Bai
Mengyao Cao
Ping Huang
Jiulong Shan
SSL
31
10
0
22 Nov 2021
Network representation learning: A macro and micro view
Network representation learning: A macro and micro view
Xueyi Liu
Jie Tang
GNN
AI4TS
24
23
0
21 Nov 2021
Semi-Supervised Domain Generalization with Evolving Intermediate Domain
Semi-Supervised Domain Generalization with Evolving Intermediate Domain
Luojun Lin
Han Xie
Zhishu Sun
Weijie Chen
Wenxi Liu
Yuanlong Yu
Lei Zhang
21
10
0
19 Nov 2021
Contrastive Representation Learning with Trainable Augmentation Channel
Contrastive Representation Learning with Trainable Augmentation Channel
Masanori Koyama
Kentaro Minami
Takeru Miyato
Y. Gal
21
1
0
15 Nov 2021
Multilingual and Multilabel Emotion Recognition using Virtual
  Adversarial Training
Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training
Vikram Gupta
29
4
0
11 Nov 2021
Understanding the Generalization Benefit of Model Invariance from a Data
  Perspective
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
Sicheng Zhu
Bang An
Furong Huang
30
25
0
10 Nov 2021
Constrained Instance and Class Reweighting for Robust Learning under
  Label Noise
Constrained Instance and Class Reweighting for Robust Learning under Label Noise
Abhishek Kumar
Ehsan Amid
NoLa
35
19
0
09 Nov 2021
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Smooth Imitation Learning via Smooth Costs and Smooth Policies
Sapana Chaudhary
Balaraman Ravindran
24
1
0
03 Nov 2021
Combating Noise: Semi-supervised Learning by Region Uncertainty
  Quantification
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification
Zhenyu Wang
Yali Li
Ye Guo
Shengjin Wang
NoLa
20
27
0
01 Nov 2021
Federated Semi-Supervised Learning with Class Distribution Mismatch
Federated Semi-Supervised Learning with Class Distribution Mismatch
Zhiguo Wang
Xintong Wang
Ruoyu Sun
Tsung-Hui Chang
FedML
39
12
0
29 Oct 2021
On Label Shift in Domain Adaptation via Wasserstein Distance
On Label Shift in Domain Adaptation via Wasserstein Distance
Trung Le
Dat Do
Tuan Nguyen
Huy Nguyen
Hung Bui
Nhat Ho
Dinh Q. Phung
21
3
0
29 Oct 2021
Can't Fool Me: Adversarially Robust Transformer for Video Understanding
Can't Fool Me: Adversarially Robust Transformer for Video Understanding
D. Choudhary
Palash Goyal
Saurabh Sahu
ViT
36
0
0
26 Oct 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled
  Samples
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
43
32
0
26 Oct 2021
Contrastive Learning for Neural Topic Model
Contrastive Learning for Neural Topic Model
Thong Nguyen
Anh Tuan Luu
31
56
0
25 Oct 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
Korawat Tanwisuth
Xinjie Fan
Huangjie Zheng
Shujian Zhang
A. Leon-Garcia
Bo Chen
Mingyuan Zhou
61
102
0
22 Oct 2021
Multimodal Semi-Supervised Learning for 3D Objects
Multimodal Semi-Supervised Learning for 3D Objects
Zhimin Chen
Longlong Jing
Yang Liang
Yingli Tian
Bing Li
3DPC
18
28
0
22 Oct 2021
Robustness through Data Augmentation Loss Consistency
Robustness through Data Augmentation Loss Consistency
Tianjian Huang
Shaunak Halbe
Chinnadhurai Sankar
P. Amini
Satwik Kottur
A. Geramifard
Meisam Razaviyayn
Ahmad Beirami
OOD
50
8
0
21 Oct 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised
  Learning
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
Hyuck Lee
Seungjae Shin
Heeyoung Kim
CLL
24
90
0
20 Oct 2021
Test time Adaptation through Perturbation Robustness
Test time Adaptation through Perturbation Robustness
Prabhu Teja Sivaprasad
Franccois Fleuret
TTA
OOD
19
30
0
19 Oct 2021
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical
  Image Segmentation
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation
Yinghuan Shi
Jian Zhang
T. Ling
Jiwen Lu
Yefeng Zheng
Qian Yu
Lei Qi
Yang Gao
UQCV
19
144
0
17 Oct 2021
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