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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
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSL
VLM
21
58
0
26 Aug 2020
Transductive Information Maximization For Few-Shot Learning
Transductive Information Maximization For Few-Shot Learning
Malik Boudiaf
Imtiaz Masud Ziko
Jérôme Rony
José Dolz
Pablo Piantanida
Ismail Ben Ayed
VLM
20
77
0
25 Aug 2020
Learning to Learn in a Semi-Supervised Fashion
Learning to Learn in a Semi-Supervised Fashion
Yun-Chun Chen
Chao-Te Chou
Y. Wang
SSL
28
6
0
25 Aug 2020
A Systematic Survey of Regularization and Normalization in GANs
A Systematic Survey of Regularization and Normalization in GANs
Ziqiang Li
Muhammad Usman
Rentuo Tao
Pengfei Xia
Xintian Wu
Huanhuan Chen
Bin Li
31
50
0
19 Aug 2020
Virtual Adversarial Training in Feature Space to Improve Unsupervised
  Video Domain Adaptation
Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation
Artjoms Gorpincenko
Geoffrey French
Michal Mackiewicz
OOD
26
2
0
19 Aug 2020
A New Perspective on Stabilizing GANs training: Direct Adversarial
  Training
A New Perspective on Stabilizing GANs training: Direct Adversarial Training
Ziqiang Li
Pengfei Xia
Rentuo Tao
Hongjing Niu
Bin Li
GAN
35
30
0
19 Aug 2020
Semi-supervised learning objectives as log-likelihoods in a generative
  model of data curation
Semi-supervised learning objectives as log-likelihoods in a generative model of data curation
Stoil Ganev
Laurence Aitchison
6
4
0
13 Aug 2020
Adversarial Knowledge Transfer from Unlabeled Data
Adversarial Knowledge Transfer from Unlabeled Data
Akash Gupta
Yikang Shen
S. Paul
Jianming Zhang
Amit K. Roy-Chowdhury
21
0
0
13 Aug 2020
Self-Path: Self-supervision for Classification of Pathology Images with
  Limited Annotations
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
Navid Alemi Koohbanani
Balagopal Unnikrishnan
S. Khurram
Pavitra Krishnaswamy
Nasir M. Rajpoot
SSL
24
164
0
12 Aug 2020
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Zhanghan Ke
Di Qiu
Kaican Li
Qiong Yan
Rynson W. H. Lau
30
247
0
12 Aug 2020
Cosine-Distance Virtual Adversarial Training for Semi-Supervised
  Speaker-Discriminative Acoustic Embeddings
Cosine-Distance Virtual Adversarial Training for Semi-Supervised Speaker-Discriminative Acoustic Embeddings
Florian Kreyssig
P. Woodland
21
5
0
09 Aug 2020
Recognition-Synthesis Based Non-Parallel Voice Conversion with
  Adversarial Learning
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning
Jing-Xuan Zhang
Zhenhua Ling
Lirong Dai
15
6
0
05 Aug 2020
Entropy Guided Adversarial Model for Weakly Supervised Object
  Localization
Entropy Guided Adversarial Model for Weakly Supervised Object Localization
Sabrina Narimene Benassou
Wuzhen Shi
Feng Jiang
GAN
AAML
WSOL
28
5
0
04 Aug 2020
A Survey on Text Classification: From Shallow to Deep Learning
A Survey on Text Classification: From Shallow to Deep Learning
Qian Li
Hao Peng
Jianxin Li
Congyin Xia
Renyu Yang
Lichao Sun
Philip S. Yu
Lifang He
VLM
28
329
0
02 Aug 2020
TEAM: We Need More Powerful Adversarial Examples for DNNs
TEAM: We Need More Powerful Adversarial Examples for DNNs
Yaguan Qian
Xi-Ming Zhang
Bin Wang
Wei Li
Zhaoquan Gu
Haijiang Wang
Wassim Swaileh
AAML
33
0
0
31 Jul 2020
Reliable Label Bootstrapping for Semi-Supervised Learning
Reliable Label Bootstrapping for Semi-Supervised Learning
Paul Albert
Diego Ortego
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
SSL
29
5
0
23 Jul 2020
Exploiting Temporal Coherence for Self-Supervised One-shot Video
  Re-identification
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
Dripta S. Raychaudhuri
Amit K. Roy-Chowdhury
25
11
0
21 Jul 2020
Regularizing Deep Networks with Semantic Data Augmentation
Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang
Gao Huang
Shiji Song
Xuran Pan
Yitong Xia
Cheng Wu
21
155
0
21 Jul 2020
Attract, Perturb, and Explore: Learning a Feature Alignment Network for
  Semi-supervised Domain Adaptation
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
Taekyung Kim
Changick Kim
37
136
0
18 Jul 2020
Improving Object Detection with Selective Self-supervised Self-training
Improving Object Detection with Selective Self-supervised Self-training
Yandong Li
Di Huang
Danfeng Qin
Liqiang Wang
Boqing Gong
20
65
0
17 Jul 2020
Provably Consistent Partial-Label Learning
Provably Consistent Partial-Label Learning
Lei Feng
Jiaqi Lv
Bo Han
Miao Xu
Gang Niu
Xin Geng
Bo An
Masashi Sugiyama
33
141
0
17 Jul 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced
  Semi-supervised Learning
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim
Youngbum Hur
Sejun Park
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
19
160
0
17 Jul 2020
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning
Chia-Wen Kuo
Chih-Yao Ma
Jia-Bin Huang
Z. Kira
39
118
0
16 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better?
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman
Andrew Ilyas
Logan Engstrom
Ashish Kapoor
Aleksander Madry
37
419
0
16 Jul 2020
Negative Pseudo Labeling using Class Proportion for Semantic
  Segmentation in Pathology
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology
Hiroki Tokunaga
Brian Kenji Iwana
Y. Teramoto
Akihiko Yoshizawa
Ryoma Bise
20
18
0
16 Jul 2020
Label Propagation with Augmented Anchors: A Simple Semi-Supervised
  Learning baseline for Unsupervised Domain Adaptation
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
Yabin Zhang
Bin Deng
Kui Jia
Lei Zhang
14
68
0
15 Jul 2020
TCGM: An Information-Theoretic Framework for Semi-Supervised
  Multi-Modality Learning
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning
Xinwei Sun
Yilun Xu
Peng Cao
Yuqing Kong
Lingjing Hu
Shan Zhang
Yizhou Wang
19
21
0
14 Jul 2020
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action
  Recognition
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition
Chenyang Si
Xuecheng Nie
Wei Wang
Liang Wang
Tieniu Tan
Jiashi Feng
SSL
37
64
0
12 Jul 2020
Improving Adversarial Robustness by Enforcing Local and Global
  Compactness
Improving Adversarial Robustness by Enforcing Local and Global Compactness
Anh-Vu Bui
Trung Le
He Zhao
Paul Montague
O. deVel
Tamas Abraham
Dinh Q. Phung
AAML
20
24
0
10 Jul 2020
Density Fixing: Simple yet Effective Regularization Method based on the
  Class Prior
Density Fixing: Simple yet Effective Regularization Method based on the Class Prior
Masanari Kimura
Ryohei Izawa
15
1
0
08 Jul 2020
Consistency Regularization with Generative Adversarial Networks for
  Semi-Supervised Learning
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning
Zexi Chen
B. Ramachandra
Ranga Raju Vatsavai
GAN
38
1
0
08 Jul 2020
Learning while Respecting Privacy and Robustness to Distributional
  Uncertainties and Adversarial Data
Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data
A. Sadeghi
Gang Wang
Meng Ma
G. Giannakis
OOD
FedML
12
4
0
07 Jul 2020
Learning to Count in the Crowd from Limited Labeled Data
Learning to Count in the Crowd from Limited Labeled Data
Vishwanath A. Sindagi
R. Yasarla
Deepak Sam Babu
R. Venkatesh Babu
Vishal M. Patel
34
65
0
07 Jul 2020
Learning the Prediction Distribution for Semi-Supervised Learning with
  Normalising Flows
Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows
Ivana Balazevic
Carl Allen
Timothy M. Hospedales
34
0
0
06 Jul 2020
Covariate Distribution Aware Meta-learning
Covariate Distribution Aware Meta-learning
Amrith Rajagopal Setlur
Saket Dingliwal
Barnabás Póczós
OOD
BDL
37
0
0
06 Jul 2020
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning
Yulin Wang
Jiayi Guo
Shiji Song
Gao Huang
24
26
0
05 Jul 2020
Decoder-free Robustness Disentanglement without (Additional) Supervision
Decoder-free Robustness Disentanglement without (Additional) Supervision
Yifei Wang
Dan Peng
Furui Liu
Zhenguo Li
Zhitang Chen
Jiansheng Yang
AAML
6
1
0
02 Jul 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in
  Semi-supervised Learning
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Zhongzheng Ren
Raymond A. Yeh
Alex Schwing
46
95
0
02 Jul 2020
Semi-supervised Sequential Generative Models
Semi-supervised Sequential Generative Models
Michael Teng
T. Le
Adam Scibior
Frank Wood
BDL
AI4TS
30
3
0
30 Jun 2020
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for
  Improved Generalization
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
Sang Michael Xie
Tengyu Ma
Percy Liang
37
13
0
29 Jun 2020
Uncertainty-aware multi-view co-training for semi-supervised medical
  image segmentation and domain adaptation
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Yingda Xia
Ke Wang
Zhiding Yu
Fengze Liu
Jinzheng Cai
Lequan Yu
Zhuotun Zhu
Daguang Xu
Alan Yuille
H. Roth
OOD
8
210
0
28 Jun 2020
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant
  Supervision
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision
Chen Liang
Yue Yu
Haoming Jiang
Siawpeng Er
Ruijia Wang
T. Zhao
Chao Zhang
OffRL
24
234
0
28 Jun 2020
Uncovering the Connections Between Adversarial Transferability and
  Knowledge Transferability
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
Kaizhao Liang
Jacky Y. Zhang
Wei Ping
Zhuolin Yang
Oluwasanmi Koyejo
Yangqiu Song
AAML
38
25
0
25 Jun 2020
Target Consistency for Domain Adaptation: when Robustness meets
  Transferability
Target Consistency for Domain Adaptation: when Robustness meets Transferability
Yassine Ouali
Victor Bouvier
Myriam Tami
C´eline Hudelot
OOD
19
3
0
25 Jun 2020
Rethinking Distributional Matching Based Domain Adaptation
Rethinking Distributional Matching Based Domain Adaptation
Bo Li
Yezhen Wang
Tong Che
Shanghang Zhang
Sicheng Zhao
Pengfei Xu
Wei Zhou
Yoshua Bengio
Kurt Keutzer
OOD
27
59
0
23 Jun 2020
Realistic Adversarial Data Augmentation for MR Image Segmentation
Realistic Adversarial Data Augmentation for MR Image Segmentation
Chen Chen
C. Qin
Huaqi Qiu
Cheng Ouyang
Shuo Wang
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
31
83
0
23 Jun 2020
Semi-Supervised Learning for Fetal Brain MRI Quality Assessment with ROI
  consistency
Semi-Supervised Learning for Fetal Brain MRI Quality Assessment with ROI consistency
Junshen Xu
S. Lala
B. Gagoski
Esra Abaci Turk
P. E. Grant
Polina Golland
E. Adalsteinsson
17
26
0
23 Jun 2020
Federated Semi-Supervised Learning with Inter-Client Consistency &
  Disjoint Learning
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Wonyong Jeong
Jaehong Yoon
Eunho Yang
Sung Ju Hwang
FedML
22
217
0
22 Jun 2020
Exploiting Contextual Information with Deep Neural Networks
Exploiting Contextual Information with Deep Neural Networks
Ismail Elezi
23
3
0
21 Jun 2020
Statistical and Algorithmic Insights for Semi-supervised Learning with
  Self-training
Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training
Samet Oymak
Talha Cihad Gulcu
27
20
0
19 Jun 2020
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