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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
ContrasInver: Ultra-Sparse Label Semi-supervised Regression for
  Multi-dimensional Seismic Inversion
ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic Inversion
Yimin Dou
Kewen Li
Wenjun Lv
Timing Li
Hongjie Duan
Yuan Xiao
30
2
0
13 Feb 2023
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset
  Selection
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection
Xilie Xu
Jingfeng Zhang
Feng Liu
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
26
16
0
08 Feb 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group
  Shifts
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
Amrith Rajagopal Setlur
D. Dennis
Benjamin Eysenbach
Aditi Raghunathan
Chelsea Finn
Virginia Smith
Sergey Levine
OOD
40
11
0
06 Feb 2023
Linking data separation, visual separation, and classifier performance
  using pseudo-labeling by contrastive learning
Linking data separation, visual separation, and classifier performance using pseudo-labeling by contrastive learning
B. C. Benato
A. X. Falcão
A. Telea
33
4
0
06 Feb 2023
Pyramid Self-attention Polymerization Learning for Semi-supervised
  Skeleton-based Action Recognition
Pyramid Self-attention Polymerization Learning for Semi-supervised Skeleton-based Action Recognition
Binqian Xu
Xiangbo Shu
35
42
0
05 Feb 2023
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for
  Semi-Supervised Skeleton-based Action Recognition
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition
Binqian Xu
Xiangbo Shu
15
55
0
05 Feb 2023
Domain Generalization Emerges from Dreaming
Domain Generalization Emerges from Dreaming
Hwan Heo
Youngjin Oh
Jaewon Lee
Hyunwoo J. Kim
21
2
0
02 Feb 2023
Learning from Stochastic Labels
Learning from Stochastic Labels
Menglong Wei
Zhongnian Li
Yong Zhou
Qiaoyu Guo
Xinzheng Xu
11
0
0
01 Feb 2023
Generating High Fidelity Synthetic Data via Coreset selection and
  Entropic Regularization
Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization
Omead Brandon Pooladzandi
Pasha Khosravi
Erik Nijkamp
Baharan Mirzasoleiman
SyDa
28
2
0
31 Jan 2023
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition
Ekkasit Pinyoanuntapong
Ayman Ali
Kalvik Jakkala
Pu Wang
Minwoo Lee
Qucheng Peng
Chong Chen
Tsinghua University
CVBM
13
4
0
31 Jan 2023
Consistency Regularisation in Varying Contexts and Feature Perturbations
  for Semi-Supervised Semantic Segmentation of Histology Images
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images
R. M. S. Bashir
Talha Qaiser
S. Raza
Nasir M. Rajpoot
38
13
0
30 Jan 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
Junguang Jiang
Baixu Chen
Junwei Pan
Ximei Wang
Liu Dapeng
Jie Jiang
Mingsheng Long
MoMe
34
20
0
30 Jan 2023
Open Problems in Applied Deep Learning
Open Problems in Applied Deep Learning
M. Raissi
AI4CE
55
2
0
26 Jan 2023
Semi-Supervised Image Captioning by Adversarially Propagating Labeled
  Data
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data
Dong-Jin Kim
Tae-Hyun Oh
Jinsoo Choi
In So Kweon
SSL
VLM
27
4
0
26 Jan 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised
  Learning
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
Hao Chen
R. Tao
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Bhiksha Raj
Marios Savvides
35
143
0
26 Jan 2023
When does the student surpass the teacher? Federated Semi-supervised
  Learning with Teacher-Student EMA
When does the student surpass the teacher? Federated Semi-supervised Learning with Teacher-Student EMA
Jessica Zhao
Sayan Ghosh
Akash Bharadwaj
Chih-Yao Ma
FedML
30
6
0
24 Jan 2023
Towards Understanding How Self-training Tolerates Data Backdoor
  Poisoning
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning
Soumyadeep Pal
Ren Wang
Yuguang Yao
Sijia Liu
45
6
0
20 Jan 2023
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
Ying Jin
Jiaqi Wang
Dahua Lin
32
40
0
18 Jan 2023
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning
On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning
Lu Han
Han-Jia Ye
De-Chuan Zhan
21
6
0
15 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations
SemPPL: Predicting pseudo-labels for better contrastive representations
Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
Florian Strub
Jacob Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
VLM
49
9
0
12 Jan 2023
Semi-Supervised Learning with Pseudo-Negative Labels for Image
  Classification
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification
Hao Xu
Hui Xiao
Huazheng Hao
Li Dong
Xiaojie Qiu
Chengbin Peng
VLM
SSL
16
22
0
10 Jan 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
Neighborhood-Regularized Self-Training for Learning with Few Labels
Ran Xu
Yue Yu
Hejie Cui
Xuan Kan
Yanqiao Zhu
Joyce C. Ho
Chao Zhang
Carl Yang
SSL
32
23
0
10 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
31
28
0
21 Dec 2022
Temporal Output Discrepancy for Loss Estimation-based Active Learning
Temporal Output Discrepancy for Loss Estimation-based Active Learning
Siyu Huang
Tianyang Wang
Haoyi Xiong
Bihan Wen
Jun Huan
Dejing Dou
UQCV
19
6
0
20 Dec 2022
Boosting Semi-Supervised Learning with Contrastive Complementary
  Labeling
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling
Qinyi Deng
Yong Guo
Zhibang Yang
Haolin Pan
Jian Chen
37
10
0
13 Dec 2022
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis
  on Whole-Slide Images
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
Pei Liu
Luping Ji
Feng Ye
Bo Fu
34
27
0
13 Dec 2022
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised
  Semantic Segmentation
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
Zhen Zhao
Lihe Yang
Sifan Long
Jimin Pi
Luping Zhou
Jingdong Wang
42
73
0
09 Dec 2022
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource
  Neural Machine Translation
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
Zhao Li
Xuebo Liu
Derek F. Wong
Lidia S. Chao
Min Zhang
CLL
35
14
0
08 Dec 2022
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
Hongxin Wei
Huiping Zhuang
Renchunzi Xie
Lei Feng
Gang Niu
Bo An
Yixuan Li
VLM
NoLa
28
29
0
08 Dec 2022
Rethinking Backdoor Data Poisoning Attacks in the Context of
  Semi-Supervised Learning
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning
Marissa Connor
Vincent Emanuele
SILM
AAML
33
1
0
05 Dec 2022
Toward Efficient Language Model Pretraining and Downstream Adaptation
  via Self-Evolution: A Case Study on SuperGLUE
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE
Qihuang Zhong
Liang Ding
Yibing Zhan
Yu Qiao
Yonggang Wen
...
Yixin Chen
Xinbo Gao
Steven C. H. Hoi
Xiaoou Tang
Dacheng Tao
VLM
ELM
60
34
0
04 Dec 2022
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data
  Augmentation
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation
Yingxi Chen
Siwei Qiang
Mingming Ha
Xiaolei Liu
Shaoshuai Li
Lingfeng Yuan
Xiaobo Guo
Zheng Hua Zhu
19
2
0
30 Nov 2022
Conservative-Progressive Collaborative Learning for Semi-supervised
  Semantic Segmentation
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
Siqi Fan
F. Zhu
Zunlei Feng
Yisheng Lv
Min-Gyoo Song
Fei-Yue Wang
32
25
0
30 Nov 2022
A3T: Accuracy Aware Adversarial Training
A3T: Accuracy Aware Adversarial Training
Enes Altinisik
Safa Messaoud
Husrev Taha Sencar
Sanjay Chawla
30
6
0
29 Nov 2022
Semi-supervised binary classification with latent distance learning
Semi-supervised binary classification with latent distance learning
Imam Mustafa Kamal
Hyerim Bae
SSL
22
3
0
28 Nov 2022
EDGAR: Embedded Detection of Gunshots by AI in Real-time
EDGAR: Embedded Detection of Gunshots by AI in Real-time
Nathan Morsa
16
0
0
25 Nov 2022
Cross-Domain Ensemble Distillation for Domain Generalization
Cross-Domain Ensemble Distillation for Domain Generalization
Kyung-Jin Lee
Sungyeon Kim
Suha Kwak
FedML
OOD
28
38
0
25 Nov 2022
Learning with Partial Labels from Semi-supervised Perspective
Learning with Partial Labels from Semi-supervised Perspective
Ximing Li
Yuanzhi Jiang
C. Li
Yiyuan Wang
Jihong Ouyang
SSL
28
15
0
24 Nov 2022
Progressive Learning with Cross-Window Consistency for Semi-Supervised
  Semantic Segmentation
Progressive Learning with Cross-Window Consistency for Semi-Supervised Semantic Segmentation
Bo Dang
Yansheng Li
Yongjun Zhang
Jiayi Ma
SSL
41
0
0
22 Nov 2022
Pred&Guide: Labeled Target Class Prediction for Guiding Semi-Supervised
  Domain Adaptation
Pred&Guide: Labeled Target Class Prediction for Guiding Semi-Supervised Domain Adaptation
M. Bhalerao
Anurag Singh
Soma Biswas
12
1
0
22 Nov 2022
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level
  Unlabeled Scenes
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes
Sunwook Hwang
Youngseok Kim
Seongwon Kim
S. Bahk
Hyung-Sin Kim
3DPC
36
3
0
22 Nov 2022
Instance-specific and Model-adaptive Supervision for Semi-supervised
  Semantic Segmentation
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
Zhen Zhao
Sifan Long
Jimin Pi
Jingdong Wang
Luping Zhou
34
29
0
21 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity
  Recognition via Black-box Attack
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack
Yunfeng Diao
He Wang
Tianjia Shao
Yong-Liang Yang
Kun Zhou
David C. Hogg
Meng Wang
AAML
45
7
0
21 Nov 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Haoxing Chen
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Marios Savvides
Bhiksha Raj
36
12
0
20 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy
  Labels
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels
Daehwan Kim
Kwang-seok Ryoo
Hansang Cho
Seung Wook Kim
NoLa
28
3
0
20 Nov 2022
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for
  Semi-Supervised Learning
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Zhongying Deng
Rihuan Ke
Carola-Bibiane Schonlieb
Angelica I Aviles-Rivero
25
0
0
17 Nov 2022
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
Ran Zhou
Xin Li
Lidong Bing
Min Zhang
Luo Si
Steven C. H. Hoi
47
18
0
17 Nov 2022
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Nikolaus Drager
Yonghao Xu
Pedram Ghamisi
AAML
28
13
0
15 Nov 2022
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling
Xiaopei Wu
Yang Zhao
Liang Peng
Huahui Chen
Xiaoshui Huang
Binbin Lin
Haifeng Liu
Deng Cai
Wanli Ouyang
3DPC
28
4
0
14 Nov 2022
Adversarial and Random Transformations for Robust Domain Adaptation and
  Generalization
Adversarial and Random Transformations for Robust Domain Adaptation and Generalization
Liang Xiao
Jiaolong Xu
Dawei Zhao
Erke Shang
Qi Zhu
Bin Dai
OOD
31
6
0
13 Nov 2022
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