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Regularization With Stochastic Transformations and Perturbations for
  Deep Semi-Supervised Learning

Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning

14 June 2016
Mehdi S. M. Sajjadi
Mehran Javanmardi
Tolga Tasdizen
    BDL
ArXiv (abs)PDFHTML

Papers citing "Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning"

50 / 580 papers shown
Title
Uncertainty-aware Self-training for Text Classification with Few Labels
Uncertainty-aware Self-training for Text Classification with Few Labels
Subhabrata Mukherjee
Ahmed Hassan Awadallah
UQLM
62
43
0
27 Jun 2020
Unlabelled Data Improves Bayesian Uncertainty Calibration under
  Covariate Shift
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
Alex J. Chan
Ahmed Alaa
Zhaozhi Qian
M. Schaar
UQCVBDLOOD
86
39
0
26 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
80
224
0
22 Jun 2020
Boosting Active Learning for Speech Recognition with Noisy
  Pseudo-labeled Samples
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
93
2
0
19 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
75
20
0
19 Jun 2020
Contrastive learning of global and local features for medical image
  segmentation with limited annotations
Contrastive learning of global and local features for medical image segmentation with limited annotations
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
95
553
0
18 Jun 2020
LSD-C: Linearly Separable Deep Clusters
LSD-C: Linearly Separable Deep Clusters
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Kai Han
Andrea Vedaldi
Andrew Zisserman
64
24
0
17 Jun 2020
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised
  Performance
Building One-Shot Semi-supervised (BOSS) Learning up to Fully Supervised Performance
L. Smith
A. Conovaloff
SSL
75
8
0
16 Jun 2020
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
Zhun Deng
Linjun Zhang
Amirata Ghorbani
James Zou
90
32
0
15 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang
Zhi Xu
SSL
131
413
0
13 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OODHAI
69
110
0
12 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited Data
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
207
1,896
0
11 Jun 2020
A Probabilistic Model for Discriminative and Neuro-Symbolic
  Semi-Supervised Learning
A Probabilistic Model for Discriminative and Neuro-Symbolic Semi-Supervised Learning
Carl Allen
Ivana Balavzević
Timothy M. Hospedales
BDL
90
1
0
10 Jun 2020
Semi-Supervised Contrastive Learning with Generalized Contrastive Loss
  and Its Application to Speaker Recognition
Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition
Nakamasa Inoue
Keita Goto
SSL
144
54
0
08 Jun 2020
Consistency Regularization for Certified Robustness of Smoothed
  Classifiers
Consistency Regularization for Certified Robustness of Smoothed Classifiers
Jongheon Jeong
Jinwoo Shin
AAML
86
88
0
07 Jun 2020
Image Augmentations for GAN Training
Image Augmentations for GAN Training
Zhengli Zhao
Zizhao Zhang
Ting-Li Chen
Sameer Singh
Han Zhang
81
137
0
04 Jun 2020
A Simple Semi-Supervised Learning Framework for Object Detection
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn
Zizhao Zhang
Chun-Liang Li
Han Zhang
Chen-Yu Lee
Tomas Pfister
121
500
0
10 May 2020
Contrastive Self-Supervised Learning for Commonsense Reasoning
Contrastive Self-Supervised Learning for Commonsense Reasoning
T. Klein
Moin Nabi
LRMSSL
74
63
0
02 May 2020
MixPUL: Consistency-based Augmentation for Positive and Unlabeled
  Learning
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning
Tong Wei
Feng Shi
Hai Wang
Wei-Wei Tu. Yu-Feng Li
50
11
0
20 Apr 2020
Milking CowMask for Semi-Supervised Image Classification
Milking CowMask for Semi-Supervised Image Classification
Geoff French
Avital Oliver
Tim Salimans
97
53
0
26 Mar 2020
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus
  Images via Adversarial Domain Adaptation
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation
Lie Ju
Xin Wang
Quan-Gen Zhou
Hu Zhu
Mehrtash Harandi
Paul Bonnington
Tom Drummond
Zongyuan Ge
MedIm
78
7
0
23 Mar 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
Dong Wang
Yuan Zhang
Kexin Zhang
Liwei Wang
133
121
0
20 Mar 2020
Semi-supervised Contrastive Learning Using Partial Label Information
Semi-supervised Contrastive Learning Using Partial Label Information
Colin B. Hansen
V. Nath
Diego A. Mesa
Yuankai Huo
Bennett A. Landman
Thomas A. Lasko
SSL
30
0
0
17 Mar 2020
Domain Adaptive Ensemble Learning
Domain Adaptive Ensemble Learning
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
OOD
227
284
0
16 Mar 2020
Semi-Supervised StyleGAN for Disentanglement Learning
Semi-Supervised StyleGAN for Disentanglement Learning
Weili Nie
Tero Karras
Animesh Garg
Shoubhik Debhath
Anjul Patney
Ankit B. Patel
Anima Anandkumar
DRL
174
73
0
06 Mar 2020
VideoSSL: Semi-Supervised Learning for Video Classification
VideoSSL: Semi-Supervised Learning for Video Classification
Longlong Jing
T. Parag
Zhe Wu
Yingli Tian
Hongcheng Wang
64
52
0
29 Feb 2020
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image
  Translation
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation
Takehiko Ohkawa
Naoto Inoue
Hirokatsu Kataoka
Nakamasa Inoue
54
6
0
29 Feb 2020
Understanding and Mitigating the Tradeoff Between Robustness and
  Accuracy
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Aditi Raghunathan
Sang Michael Xie
Fanny Yang
John C. Duchi
Percy Liang
AAML
104
229
0
25 Feb 2020
End-To-End Graph-based Deep Semi-Supervised Learning
End-To-End Graph-based Deep Semi-Supervised Learning
Zihao Wang
E. Tu
Meng Zhou
29
0
0
23 Feb 2020
Class-Imbalanced Semi-Supervised Learning
Class-Imbalanced Semi-Supervised Learning
Minsung Hyun
Jisoo Jeong
Nojun Kwak
60
49
0
17 Feb 2020
Improved Consistency Regularization for GANs
Improved Consistency Regularization for GANs
Zhengli Zhao
Sameer Singh
Honglak Lee
Zizhao Zhang
Augustus Odena
Han Zhang
81
153
0
11 Feb 2020
Snippext: Semi-supervised Opinion Mining with Augmented Data
Snippext: Semi-supervised Opinion Mining with Augmented Data
Zhengjie Miao
Yuliang Li
Xiaolan Wang
W. Tan
RALMVLM
76
91
0
07 Feb 2020
Continual Local Replacement for Few-shot Learning
Continual Local Replacement for Few-shot Learning
Canyu Le
Zhonggui Chen
Xihan Wei
Biao Wang
Lei Zhang
BDLCLL
54
2
0
23 Jan 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
165
3,595
0
21 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised
  Learning
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
Paola Cascante-Bonilla
Fuwen Tan
Yanjun Qi
Vicente Ordonez
ODL
104
23
0
16 Jan 2020
CycleCluster: Modernising Clustering Regularisation for Deep
  Semi-Supervised Classification
CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification
P. Sellars
Angelica Aviles-Rivero
Carola Bibiane Schönlieb
16
0
0
15 Jan 2020
Proposal Learning for Semi-Supervised Object Detection
Proposal Learning for Semi-Supervised Object Detection
Peng Tang
Chetan Ramaiah
Yan Wang
Ran Xu
Caiming Xiong
121
101
0
15 Jan 2020
Semi-supervised learning method based on predefined evenly-distributed
  class centroids
Semi-supervised learning method based on predefined evenly-distributed class centroids
Qiuyu Zhu
Tiantian Li
SSL
44
6
0
13 Jan 2020
Low-Budget Label Query through Domain Alignment Enforcement
Low-Budget Label Query through Domain Alignment Enforcement
Jurandy Almeida
Cristiano Saltori
Paolo Rota
N. Sebe
52
5
0
01 Jan 2020
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance
  and the Abstractions Learned by Deep Networks
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks
Alex Lamb
Sherjil Ozair
Vikas Verma
David R Ha
AAML
137
4
0
25 Dec 2019
Adversarial Feature Distribution Alignment for Semi-Supervised Learning
Adversarial Feature Distribution Alignment for Semi-Supervised Learning
Christoph Mayer
M. Paul
Radu Timofte
75
12
0
22 Dec 2019
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot
  Learning
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
Zhongjie Yu
Lin Chen
Zhongwei Cheng
Jiebo Luo
80
110
0
19 Dec 2019
A Shape Transformation-based Dataset Augmentation Framework for
  Pedestrian Detection
A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection
Zhe Chen
Wanli Ouyang
Tongliang Liu
Dacheng Tao
ViT
81
23
0
15 Dec 2019
Learning with Multiplicative Perturbations
Learning with Multiplicative Perturbations
Xiulong Yang
Shihao Ji
AAML
77
4
0
04 Dec 2019
Semi-Supervised Learning for Text Classification by Layer Partitioning
Semi-Supervised Learning for Text Classification by Layer Partitioning
Alexander Hanbo Li
A. Sethy
40
12
0
26 Nov 2019
Semi-supervised Bootstrapping of Dialogue State Trackers for Task
  Oriented Modelling
Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling
Bo-Hsiang Tseng
Marek Rei
Paweł Budzianowski
Richard Turner
Bill Byrne
Anna Korhonen
41
5
0
26 Nov 2019
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and
  Augmentation Anchoring
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring
David Berthelot
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Kihyuk Sohn
Han Zhang
Colin Raffel
104
684
0
21 Nov 2019
EnAET: A Self-Trained framework for Semi-Supervised and Supervised
  Learning with Ensemble Transformations
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
Tianlin Li
Daisuke Kihara
Jiebo Luo
Guo-Jun Qi
OOD
76
34
0
21 Nov 2019
An Induced Multi-Relational Framework for Answer Selection in Community
  Question Answer Platforms
An Induced Multi-Relational Framework for Answer Selection in Community Question Answer Platforms
Kanika Narang
Chaoqi Yang
A. Krishnan
Junting Wang
Hari Sundaram
Carolyn Sutter
64
6
0
16 Nov 2019
Adversarial Transformations for Semi-Supervised Learning
Adversarial Transformations for Semi-Supervised Learning
Teppei Suzuki
Ikuro Sato
71
13
0
13 Nov 2019
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