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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
Impact of Adversarial Training on Robustness and Generalizability of
  Language Models
Impact of Adversarial Training on Robustness and Generalizability of Language Models
Enes Altinisik
Hassan Sajjad
Husrev Taha Sencar
Safa Messaoud
Sanjay Chawla
AAML
24
9
0
10 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition
Extending Temporal Data Augmentation for Video Action Recognition
Artjoms Gorpincenko
Michal Mackiewicz
ViT
31
4
0
09 Nov 2022
Learning to Annotate Part Segmentation with Gradient Matching
Learning to Annotate Part Segmentation with Gradient Matching
Yu Yang
Xiaotian Cheng
Hakan Bilen
Xiangyang Ji
GAN
37
7
0
06 Nov 2022
When does mixup promote local linearity in learned representations?
When does mixup promote local linearity in learned representations?
Arslan Chaudhry
A. Menon
Andreas Veit
Sadeep Jayasumana
Srikumar Ramalingam
Surinder Kumar
30
1
0
28 Oct 2022
Disentangled Text Representation Learning with Information-Theoretic
  Perspective for Adversarial Robustness
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness
Jiahao Zhao
Wenji Mao
DRL
OOD
32
3
0
26 Oct 2022
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation
Han Zhang
Zhen Zhang
Hongfei Jiang
Yang Song
28
0
0
26 Oct 2022
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial
  Attribute Recognition
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition
Chuanfei Hu
Hang Shao
B. Dong
Zhe Wang
Yongxiong Wang
CVBM
15
1
0
25 Oct 2022
Precisely the Point: Adversarial Augmentations for Faithful and
  Informative Text Generation
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation
Wenhao Wu
Wei Li
Jiachen Liu
Xinyan Xiao
Sujian Li
Yajuan Lyu
47
3
0
22 Oct 2022
LAVA: Label-efficient Visual Learning and Adaptation
LAVA: Label-efficient Visual Learning and Adaptation
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Mehrtash Harandi
Gholamreza Haffari
VLM
34
1
0
19 Oct 2022
Class-Level Confidence Based 3D Semi-Supervised Learning
Class-Level Confidence Based 3D Semi-Supervised Learning
Zhimin Chen
Longlong Jing
Liang Yang
Yingwei Li
Bing Li
34
17
0
18 Oct 2022
Dense FixMatch: a simple semi-supervised learning method for pixel-wise
  prediction tasks
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks
Miquel Martí i Rabadán
Alessandro Pieropan
Hossein Azizpour
A. Maki
21
3
0
18 Oct 2022
Fuzzy Positive Learning for Semi-supervised Semantic Segmentation
Fuzzy Positive Learning for Semi-supervised Semantic Segmentation
Pengchong Qiao
Zhidan Wei
Yu Wang
Zhennan Wang
Guoli Song
Fan Xu
Xiang Ji
Chang-rui Liu
Jie Chen
27
19
0
16 Oct 2022
Generalised Mutual Information for Discriminative Clustering
Generalised Mutual Information for Discriminative Clustering
Louis Ohl
Pierre-Alexandre Mattei
C. Bouveyron
Warith Harchaoui
Mickael Leclercq
Arnaud Droit
F. Precioso
24
6
0
12 Oct 2022
Robustness of Unsupervised Representation Learning without Labels
Robustness of Unsupervised Representation Learning without Labels
Aleksandar Petrov
Marta Z. Kwiatkowska
OffRL
60
2
0
08 Oct 2022
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation
Xu Guo
Boyang Albert Li
Han Yu
VLM
46
22
0
06 Oct 2022
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond
Di Wu
Jie Yang
Mohamad Sawan
OOD
MedIm
30
20
0
03 Oct 2022
Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation
Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation
Boon Peng Yap
B. Ng
MedIm
28
1
0
01 Oct 2022
Few-shot Text Classification with Dual Contrastive Consistency
Few-shot Text Classification with Dual Contrastive Consistency
Liwen Sun
Jiawei Han
27
0
0
29 Sep 2022
Class-Imbalanced Complementary-Label Learning via Weighted Loss
Class-Imbalanced Complementary-Label Learning via Weighted Loss
Meng Wei
Yong Zhou
Zhongnian Li
Xinzheng Xu
21
13
0
28 Sep 2022
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
Yangbangyan Jiang Xiaodan Li
Xiaodan Li
YueFeng Chen
Yuan He
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
21
18
0
26 Sep 2022
Hybrid Window Attention Based Transformer Architecture for Brain Tumor
  Segmentation
Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation
Himashi Peiris
Munawar Hayat
Zhaolin Chen
Gary Egan
Mehrtash Harandi
MedIm
29
4
0
16 Sep 2022
PointACL:Adversarial Contrastive Learning for Robust Point Clouds
  Representation under Adversarial Attack
PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack
Junxuan Huang
Yatong An
Lu Cheng
Bai Chen
Junsong Yuan
Chunming Qiao
3DPC
32
1
0
14 Sep 2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the
  Best of Both Students
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students
Xueye Zheng
Yuan Luo
Hao Wang
Chong Fu
Lin Wang
ViT
46
19
0
06 Sep 2022
Consistency-Based Semi-supervised Evidential Active Learning for
  Diagnostic Radiograph Classification
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification
Shafa Balaram
C. Nguyen
Ashraf Kassim
Pavitra Krishnaswamy
EDL
15
11
0
05 Sep 2022
Semi-Supervised Semantic Segmentation with Cross Teacher Training
Semi-Supervised Semantic Segmentation with Cross Teacher Training
Hui Xiao
Li Dong
Kangkang Song
Hao Xu
Shuibo Fu
Diqun Yan
Chengbin Peng
35
26
0
03 Sep 2022
MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point
  Cloud Action Recognition
MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition
Xiaodong Chen
Wu Liu
Xinchen Liu
Yongdong Zhang
Jungong Han
Tao Mei
3DPC
41
12
0
01 Sep 2022
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for
  Semi-Supervised Text Recognition
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition
Gaurav Patel
J. Allebach
Qiang Qiu
UQLM
44
17
0
31 Aug 2022
Constraining Representations Yields Models That Know What They Don't
  Know
Constraining Representations Yields Models That Know What They Don't Know
João Monteiro
Pau Rodríguez López
Pierre-Andre Noel
I. Laradji
David Vazquez
AAML
44
0
0
30 Aug 2022
Label-Efficient Self-Training for Attribute Extraction from
  Semi-Structured Web Documents
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents
Ritesh Sarkhel
Binxuan Huang
Colin Lockard
Prashant Shiralkar
32
2
0
27 Aug 2022
Domain Adaptation with Adversarial Training on Penultimate Activations
Domain Adaptation with Adversarial Training on Penultimate Activations
Tao Sun
Cheng Lu
Haibin Ling
34
15
0
26 Aug 2022
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data
Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data
Zhe Huang
Mary-Joy Sidhom
B. Wessler
M. C. Hughes
27
10
0
25 Aug 2022
Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation
Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation
Jianlong Yuan
Jinchao Ge
Zhibin Wang
Yifan Liu
33
17
0
24 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
50
115
0
24 Aug 2022
Multi-Granularity Distillation Scheme Towards Lightweight
  Semi-Supervised Semantic Segmentation
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation
Jie Qin
Jie Wu
Ming Li
Xu Xiao
Min Zheng
Xingang Wang
38
6
0
22 Aug 2022
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic
  Segmentation
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
Lihe Yang
Lei Qi
Xue Jiang
Wayne Zhang
Yinghuan Shi
35
237
0
21 Aug 2022
Effectiveness of Function Matching in Driving Scene Recognition
Effectiveness of Function Matching in Driving Scene Recognition
Shingo Yashima
28
1
0
20 Aug 2022
Generalised Co-Salient Object Detection
Generalised Co-Salient Object Detection
Jiawei Liu
Jing Zhang
Ruikai Cui
Kaihao Zhang
Weihao Li
Nick Barnes
33
3
0
20 Aug 2022
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class
  Features for Medical Image Segmentation
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation
Shiqiang Ma
Xia Li
Jijun Tang
Fei Guo
24
3
0
19 Aug 2022
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency
  Regularization
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization
Jiwon Kim
Youngjo Min
Daehwan Kim
Gyuseong Lee
Junyoung Seo
Kwang-seok Ryoo
Seung Wook Kim
29
42
0
18 Aug 2022
Multi-View Correlation Consistency for Semi-Supervised Semantic
  Segmentation
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation
Yunzhong Hou
Stephen Gould
Liang Zheng
37
0
0
17 Aug 2022
Deep Generative Views to Mitigate Gender Classification Bias Across
  Gender-Race Groups
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups
Sreeraj Ramachandran
A. Rattani
FaML
28
13
0
17 Aug 2022
Urban feature analysis from aerial remote sensing imagery using
  self-supervised and semi-supervised computer vision
Urban feature analysis from aerial remote sensing imagery using self-supervised and semi-supervised computer vision
Sachith Seneviratne
J. Wijnands
K. Nice
Haifeng Zhao
B. Godic
...
Rajith Vidanaarachchi
Mark Stevenson
L. Garcia
R. Hunter
Jason Thompson
SSL
21
2
0
17 Aug 2022
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Teacher Guided Training: An Efficient Framework for Knowledge Transfer
Manzil Zaheer
A. S. Rawat
Seungyeon Kim
Chong You
Himanshu Jain
Andreas Veit
Rob Fergus
Surinder Kumar
VLM
18
2
0
14 Aug 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
USB: A Unified Semi-supervised Learning Benchmark for Classification
Yidong Wang
Hao Chen
Yue Fan
Wangbin Sun
R. Tao
...
T. Shinozaki
Bernt Schiele
Jindong Wang
Xingxu Xie
Yue Zhang
32
113
0
12 Aug 2022
Semi-supervised Vision Transformers at Scale
Semi-supervised Vision Transformers at Scale
Zhaowei Cai
Avinash Ravichandran
Paolo Favaro
Manchen Wang
Davide Modolo
Rahul Bhotika
Zhuowen Tu
Stefano Soatto
ViT
32
55
0
11 Aug 2022
ZLPR: A Novel Loss for Multi-label Classification
ZLPR: A Novel Loss for Multi-label Classification
Jianlin Su
Min Zhu
Ahmed Murtadha
Shengfeng Pan
Bo Wen
Yunfeng Liu
VLM
24
39
0
05 Aug 2022
Adaptive Domain Generalization via Online Disagreement Minimization
Adaptive Domain Generalization via Online Disagreement Minimization
X. Zhang
Ying-Cong Chen
OOD
27
5
0
03 Aug 2022
Improving Fine-Grained Visual Recognition in Low Data Regimes via
  Self-Boosting Attention Mechanism
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism
Yangyang Shu
B. Yu
Hai-Ming Xu
Lingqiao Liu
22
26
0
01 Aug 2022
Analysis of Semi-Supervised Methods for Facial Expression Recognition
Analysis of Semi-Supervised Methods for Facial Expression Recognition
Shuvendu Roy
Ali Etemad
24
10
0
31 Jul 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
34
152
0
28 Jul 2022
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