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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
Combining Diverse Feature Priors
Combining Diverse Feature Priors
Saachi Jain
Dimitris Tsipras
Aleksander Madry
69
14
0
15 Oct 2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud
  Semantic Segmentation
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Li Jiang
Shaoshuai Shi
Zhuotao Tian
Xin Lai
Shu Liu
Chi-Wing Fu
Jiaya Jia
SSL
3DPC
126
115
0
15 Oct 2021
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning
  and Negative Learning
FedSEAL: Semi-Supervised Federated Learning with Self-Ensemble Learning and Negative Learning
Jieming Bian
Zhu Fu
Jie Xu
FedML
34
13
0
15 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
279
868
0
15 Oct 2021
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels
  with Overclustering and Inverse Cross-Entropy
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy
Lars Schmarje
Johannes Brunger
M. Santarossa
Simon-Martin Schroder
R. Kiko
Reinhard Koch
49
17
0
13 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
Zhaowei Zhu
Tianyi Luo
Yang Liu
153
40
0
12 Oct 2021
Fine-Grained Adversarial Semi-supervised Learning
Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai
F. Pernici
F. Turchini
A. Bimbo
35
8
0
12 Oct 2021
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning
Hanzhe Hu
Fangyun Wei
Han Hu
Qiwei Ye
J. Cui
Liwei Wang
28
153
0
11 Oct 2021
Colour augmentation for improved semi-supervised semantic segmentation
Colour augmentation for improved semi-supervised semantic segmentation
Geoff French
Michal Mackiewicz
19
3
0
09 Oct 2021
RankingMatch: Delving into Semi-Supervised Learning with Consistency
  Regularization and Ranking Loss
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss
Trung Q. Tran
Mingu Kang
Daeyoung Kim
24
2
0
09 Oct 2021
Adaptive Early-Learning Correction for Segmentation from Noisy
  Annotations
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
Sheng Liu
Kangning Liu
Weicheng Zhu
Yiqiu Shen
C. Fernandez‐Granda
NoLa
29
104
0
07 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized
  Self-Supervision
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
Chaoyang He
Zhengyu Yang
Erum Mushtaq
Sunwoo Lee
Mahdi Soltanolkotabi
A. Avestimehr
FedML
98
36
0
06 Oct 2021
A new weakly supervised approach for ALS point cloud semantic
  segmentation
A new weakly supervised approach for ALS point cloud semantic segmentation
Puzuo Wang
W. Yao
3DPC
23
48
0
04 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher
  Framework
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang
Yifan Sun
Xun Wang
Haotian Yao
Chi Zhang
20
3
0
04 Oct 2021
Consistency Regularization Can Improve Robustness to Label Noise
Consistency Regularization Can Improve Robustness to Label Noise
Erik Englesson
Hossein Azizpour
NoLa
202
20
0
04 Oct 2021
A multi-stage semi-supervised improved deep embedded clustering method
  for bearing fault diagnosis under the situation of insufficient labeled
  samples
A multi-stage semi-supervised improved deep embedded clustering method for bearing fault diagnosis under the situation of insufficient labeled samples
Tong Sun
Gang Yu
21
0
0
28 Sep 2021
Consistency Training of Multi-exit Architectures for Sensor Data
Consistency Training of Multi-exit Architectures for Sensor Data
Aaqib Saeed
20
0
0
27 Sep 2021
Training on Test Data with Bayesian Adaptation for Covariate Shift
Training on Test Data with Bayesian Adaptation for Covariate Shift
Aurick Zhou
Sergey Levine
OOD
TTA
55
13
0
27 Sep 2021
Improving Question Answering Performance Using Knowledge Distillation
  and Active Learning
Improving Question Answering Performance Using Knowledge Distillation and Active Learning
Yasaman Boreshban
Seyed Morteza Mirbostani
Gholamreza Ghassem-Sani
Seyed Abolghasem Mirroshandel
Shahin Amiriparian
34
15
0
26 Sep 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Mintong Kang
Bowen Li
Zengle Zhu
Yongyi Lu
Elliot K. Fishman
Alan Yuille
Zongwei Zhou
30
18
0
25 Sep 2021
Self-supervised Learning for Semi-supervised Temporal Language Grounding
Self-supervised Learning for Semi-supervised Temporal Language Grounding
Fan Luo
Shaoxiang Chen
Jingjing Chen
Zuxuan Wu
Yu-Gang Jiang
VLM
61
11
0
23 Sep 2021
Learning to Robustly Aggregate Labeling Functions for Semi-supervised
  Data Programming
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming
Ayush Maheshwari
Krishnateja Killamsetty
Ganesh Ramakrishnan
Rishabh K. Iyer
Marina Danilevsky
Lucian Popa
38
16
0
23 Sep 2021
Mutual Consistency Learning for Semi-supervised Medical Image
  Segmentation
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation
Yicheng Wu
Z. Ge
Donghao Zhang
Minfeng Xu
Lei Zhang
Yong-quan Xia
Jianfei Cai
OOD
SSL
77
231
0
21 Sep 2021
S$^3$VAADA: Submodular Subset Selection for Virtual Adversarial Active
  Domain Adaptation
S3^33VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
Harsh Rangwani
Arihant Jain
Sumukh K Aithal
R. Venkatesh Babu
TTA
49
29
0
18 Sep 2021
Adversarially Regularized Policy Learning Guided by Trajectory
  Optimization
Adversarially Regularized Policy Learning Guided by Trajectory Optimization
Zhigen Zhao
Simiao Zuo
T. Zhao
Ye Zhao
28
10
0
16 Sep 2021
Federated Learning of Molecular Properties with Graph Neural Networks in
  a Heterogeneous Setting
Federated Learning of Molecular Properties with Graph Neural Networks in a Heterogeneous Setting
Wei-wei Zhu
Jiebo Luo
Andrew D. White
FedML
40
32
0
15 Sep 2021
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in
  Mixup
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup
Guang Liu
Yuzhao Mao
Hailong Huang
Weiguo Gao
Xuan Li
AAML
33
5
0
15 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
FedTriNet: A Pseudo Labeling Method with Three Players for Federated
  Semi-supervised Learning
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning
Liwei Che
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
FedML
27
23
0
12 Sep 2021
FLiText: A Faster and Lighter Semi-Supervised Text Classification with
  Convolution Networks
FLiText: A Faster and Lighter Semi-Supervised Text Classification with Convolution Networks
Chen Liu
Mengchao Zhang
Liang Pang
Jiafeng Guo
Xueqi Cheng
CLIP
36
19
0
12 Sep 2021
Co-Correcting: Noise-tolerant Medical Image Classification via mutual
  Label Correction
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction
Jiarun Liu
Ruirui Li
Chuan Sun
OOD
NoLa
VLM
30
32
0
11 Sep 2021
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning
Zewei Long
Jiaqi Wang
Yaqing Wang
Houping Xiao
Fenglong Ma
FedML
53
22
0
09 Sep 2021
Towards Robust Cross-domain Image Understanding with Unsupervised Noise
  Removal
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal
Lei Zhu
Zhaojing Luo
Wei Wang
Mei-juan Zhang
Gang Chen
Kaiping Zheng
44
1
0
09 Sep 2021
Knowledge Distillation Using Hierarchical Self-Supervision Augmented
  Distribution
Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution
Chuanguang Yang
Zhulin An
Linhang Cai
Yongjun Xu
40
15
0
07 Sep 2021
Iterative Pseudo-Labeling with Deep Feature Annotation and
  Confidence-Based Sampling
Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling
B. C. Benato
A. Telea
A. X. Falcão
28
12
0
06 Sep 2021
Semi-Supervised Learning using Siamese Networks
Semi-Supervised Learning using Siamese Networks
Attaullah Sahito
E. Frank
Bernhard Pfahringer
SSL
11
9
0
02 Sep 2021
Transfer of Pretrained Model Weights Substantially Improves
  Semi-Supervised Image Classification
Transfer of Pretrained Model Weights Substantially Improves Semi-Supervised Image Classification
Attaullah Sahito
E. Frank
Bernhard Pfahringer
SSL
6
1
0
02 Sep 2021
Dash: Semi-Supervised Learning with Dynamic Thresholding
Dash: Semi-Supervised Learning with Dynamic Thresholding
Yi Tian Xu
Lei Shang
Jinxing Ye
Qi Qian
Yu-Feng Li
Baigui Sun
Hao Li
Rong Jin
52
219
0
01 Sep 2021
Semi-supervised Image Classification with Grad-CAM Consistency
Semi-supervised Image Classification with Grad-CAM Consistency
Juyong Lee
Seunghyuk Cho
11
3
0
31 Aug 2021
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
Hongjun Chen
Jinbao Wang
Hao Chen
Xiantong Zhen
Feng Zheng
Rongrong Ji
Ling Shao
16
29
0
30 Aug 2021
Partial Domain Adaptation without Domain Alignment
Partial Domain Adaptation without Domain Alignment
Weikai Li
Songcan Chen
39
13
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
32
4
0
29 Aug 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification
  Performance
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
Fahim Faisal Niloy
M. A. Amin
A. K. M. Mahbubur Rahman
A. Ali
DRL
30
0
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
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image
  Segmentation
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation
Himashi Peiris
Zhaolin Chen
Gary Egan
Mehrtash Harandi
GAN
24
46
0
25 Aug 2021
Adversarial Robustness of Deep Learning: Theory, Algorithms, and
  Applications
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications
Wenjie Ruan
Xinping Yi
Xiaowei Huang
AAML
OOD
33
17
0
24 Aug 2021
SemiFed: Semi-supervised Federated Learning with Consistency and
  Pseudo-Labeling
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling
Haowen Lin
Jian Lou
Li Xiong
Cyrus Shahabi
FedML
29
56
0
21 Aug 2021
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Yuanyi Zhong
Bodi Yuan
Hong Wu
Zhiqiang Yuan
Jian Peng
Yu-xiong Wang
38
167
0
20 Aug 2021
Semi-supervised learning for medical image classification using
  imbalanced training data
Semi-supervised learning for medical image classification using imbalanced training data
T. Huynh
Aiden Nibali
Zhen He
27
70
0
20 Aug 2021
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive
  Machine Translation
MvSR-NAT: Multi-view Subset Regularization for Non-Autoregressive Machine Translation
Pan Xie
Zexian Li
Xiaohui Hu
34
11
0
19 Aug 2021
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