ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.04586
  4. Cited By
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
Prompt Consistency for Zero-Shot Task Generalization
Prompt Consistency for Zero-Shot Task Generalization
Chunting Zhou
Junxian He
Xuezhe Ma
Taylor Berg-Kirkpatrick
Graham Neubig
VLM
108
79
0
29 Apr 2022
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic
  Segmentation
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
Lukas Hoyer
Dengxin Dai
Luc Van Gool
91
235
0
27 Apr 2022
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud
  Completion
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Zhaoxin Fan
Yulin He
Zhicheng Wang
Kejian Wu
Hongyan Liu
Jun He
96
8
0
20 Apr 2022
Semi-Supervised Super-Resolution
Semi-Supervised Super-Resolution
Ashutosh Kumar Singh
Piyush Rai
SupR
41
2
0
18 Apr 2022
Pushing the Performance Limit of Scene Text Recognizer without Human
  Annotation
Pushing the Performance Limit of Scene Text Recognizer without Human Annotation
Caiyuan Zheng
Hui Li
Seon-Min Rhee
Seungju Han
Jae-Joon Han
Peng Wang
84
12
0
16 Apr 2022
Bootstrap Motion Forecasting With Self-Consistent Constraints
Bootstrap Motion Forecasting With Self-Consistent Constraints
Maosheng Ye
Jiamiao Xu
Xun Xu
Tengfei Wang
Tongyi Cao
Qifeng Chen
114
20
0
12 Apr 2022
Consistency driven Sequential Transformers Attention Model for Partially
  Observable Scenes
Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes
Samrudhdhi B. Rangrej
C. Srinidhi
J. Clark
72
12
0
01 Apr 2022
Acknowledging the Unknown for Multi-label Learning with Single Positive
  Labels
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels
Donghao Zhou
Pengfei Chen
Qiong Wang
Guangyong Chen
Pheng-Ann Heng
62
31
0
30 Mar 2022
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Jiwon Kim
Kwang-seok Ryoo
Junyoung Seo
Gyuseong Lee
Daehwan Kim
Hansang Cho
Seung Wook Kim
90
26
0
30 Mar 2022
Interpretable Research Replication Prediction via Variational Contextual
  Consistency Sentence Masking
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking
Tianyi Luo
Rui Meng
Xinze Wang
Yongxu Liu
54
4
0
28 Mar 2022
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image
  Translation
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
Yanwu Xu
Shaoan Xie
Wenhao Wu
Kun Zhang
Biwei Huang
Kayhan Batmanghelich
73
25
0
23 Mar 2022
Towards Semi-Supervised Deep Facial Expression Recognition with An
  Adaptive Confidence Margin
Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin
Hangyu Li
N. Wang
Xi Yang
Xiaoyu Wang
Xinbo Gao
CVBM
92
67
0
23 Mar 2022
SURF: Semi-supervised Reward Learning with Data Augmentation for
  Feedback-efficient Preference-based Reinforcement Learning
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning
Jongjin Park
Younggyo Seo
Jinwoo Shin
Honglak Lee
Pieter Abbeel
Kimin Lee
60
82
0
18 Mar 2022
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D
  Semi-Supervised Object Detection
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection
Jinhyung D. Park
Chenfeng Xu
Yiyang Zhou
Masayoshi Tomizuka
Wei Zhan
3DPC
71
22
0
17 Mar 2022
Don't fear the unlabelled: safe semi-supervised learning via simple
  debiasing
Don't fear the unlabelled: safe semi-supervised learning via simple debiasing
Hugo Schmutz
O. Humbert
Pierre-Alexandre Mattei
65
8
0
14 Mar 2022
SimMatch: Semi-supervised Learning with Similarity Matching
SimMatch: Semi-supervised Learning with Similarity Matching
Mingkai Zheng
Shan You
Lang Huang
Fei Wang
Chao Qian
Chang Xu
113
183
0
14 Mar 2022
Spatial Consistency Loss for Training Multi-Label Classifiers from
  Single-Label Annotations
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations
Thomas Verelst
Paul Kishan Rubenstein
M. Eichner
Tinne Tuytelaars
Maxim Berman
85
20
0
11 Mar 2022
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced
  Datasets
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets
Suraj Kothawade
P. Reddy
Ganesh Ramakrishnan
Rishabh K. Iyer
24
0
0
10 Mar 2022
Optical Flow Training under Limited Label Budget via Active Learning
Optical Flow Training under Limited Label Budget via Active Learning
Shuai Yuan
Xian Sun
Hannah Kim
Shuzhi Yu
Carlo Tomasi
65
10
0
09 Mar 2022
End-to-End Semi-Supervised Learning for Video Action Detection
End-to-End Semi-Supervised Learning for Video Action Detection
Akash Kumar
Yogesh S Rawat
77
32
0
08 Mar 2022
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
Yuchao Wang
Haochen Wang
Yujun Shen
Jingjing Fei
Wei Li
Guoqiang Jin
Liwei Wu
Rui Zhao
Xinyi Le
UQCV
76
349
0
08 Mar 2022
Regularising for invariance to data augmentation improves supervised
  learning
Regularising for invariance to data augmentation improves supervised learning
Aleksander Botev
Matthias Bauer
Soham De
84
14
0
07 Mar 2022
Semi-supervised Deep Learning for Image Classification with Distribution
  Mismatch: A Survey
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey
Saul Calderon-Ramirez
Shengxiang-Yang
David Elizondo
OOD
39
19
0
01 Mar 2022
Sample Efficiency of Data Augmentation Consistency Regularization
Sample Efficiency of Data Augmentation Consistency Regularization
Shuo Yang
Yijun Dong
Rachel A. Ward
Inderjit S. Dhillon
Sujay Sanghavi
Qi Lei
AAML
84
17
0
24 Feb 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised
  Learning
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
Xihong Yang
Xiaochang Hu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
329
44
0
24 Feb 2022
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep
  Learning
R2-D2: Repetitive Reprediction Deep Decipher for Semi-Supervised Deep Learning
G. Wang
Jianxin Wu
52
1
0
18 Feb 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning
CLS: Cross Labeling Supervision for Semi-Supervised Learning
Yao Yao
Ju Shen
Jin Xu
Bin Zhong
Li Xiao
68
3
0
17 Feb 2022
Supervision by Denoising for Medical Image Segmentation
Supervision by Denoising for Medical Image Segmentation
Sean I. Young
Adrian Dalca
Enzo Ferrante
Polina Golland
Christopher A. Metzler
Bruce Fischl
Juan Eugenio Iglesias
83
4
0
07 Feb 2022
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification
Hazel Kim
Jaeman Son
Yo-Sub Han
49
3
0
05 Feb 2022
Learning Representation from Neural Fisher Kernel with Low-rank
  Approximation
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
Ruixiang Zhang
Shuangfei Zhai
Etai Littwin
J. Susskind
SSL
70
3
0
04 Feb 2022
Deep Reference Priors: What is the best way to pretrain a model?
Deep Reference Priors: What is the best way to pretrain a model?
Yansong Gao
Rahul Ramesh
Pratik Chaudhari
BDL
47
5
0
01 Feb 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular
  Mutual Information
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Changbin Li
Suraj Kothawade
F. Chen
Rishabh K. Iyer
68
4
0
30 Jan 2022
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
Jiwon Kim
Kwang-seok Ryoo
Gyuseong Lee
Seokju Cho
Junyoung Seo
Daehwan Kim
Hansang Cho
Seung Wook Kim
70
1
0
25 Jan 2022
vCLIMB: A Novel Video Class Incremental Learning Benchmark
vCLIMB: A Novel Video Class Incremental Learning Benchmark
Andrés Villa
Kumail Alhamoud
Juan Carlos León Alcázar
Fabian Caba Heilbron
Victor Escorcia
Guohao Li
CLL
149
33
0
23 Jan 2022
How does unlabeled data improve generalization in self-training? A
  one-hidden-layer theoretical analysis
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang
Ming Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
SSLMLT
107
23
0
21 Jan 2022
Contrastive Regularization for Semi-Supervised Learning
Contrastive Regularization for Semi-Supervised Learning
Doyup Lee
Sungwoong Kim
Ildoo Kim
Yeongjae Cheon
Minsu Cho
Wook-Shin Han
SSL
61
41
0
17 Jan 2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Debiased Learning from Naturally Imbalanced Pseudo-Labels
Xudong Wang
Zhi-Li Wu
Long Lian
Stella X. Yu
106
100
0
05 Jan 2022
Robust Semi-supervised Federated Learning for Images Automatic
  Recognition in Internet of Drones
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones
Zhe Zhang
Shiyao Ma
Zhaohui Yang
Zehui Xiong
Jiawen Kang
Yi Wu
Kejia Zhang
Dusit Niyato
65
36
0
03 Jan 2022
An analysis of over-sampling labeled data in semi-supervised learning
  with FixMatch
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch
Miquel Martí i Rabadán
Sebastian Bujwid
Alessandro Pieropan
Hossein Azizpour
A. Maki
41
5
0
03 Jan 2022
Semi-supervised Salient Object Detection with Effective Confidence
  Estimation
Semi-supervised Salient Object Detection with Effective Confidence Estimation
Jiawei Liu
Jing Zhang
Nick Barnes
72
5
0
28 Dec 2021
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled
  Images as Reference
GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
Peng Tu
Yawen Huang
Feng Zheng
Zhenyu He
Liujun Cao
Ling Shao
89
25
0
28 Dec 2021
Barely-Supervised Learning: Semi-Supervised Learning with very few
  labeled images
Barely-Supervised Learning: Semi-Supervised Learning with very few labeled images
Thomas Lucas
Philippe Weinzaepfel
Grégory Rogez
SSL
76
31
0
22 Dec 2021
Local contrastive loss with pseudo-label based self-training for
  semi-supervised medical image segmentation
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
83
133
0
17 Dec 2021
Taming Overconfident Prediction on Unlabeled Data from Hindsight
Taming Overconfident Prediction on Unlabeled Data from Hindsight
Jing Li
Yuangang Pan
Ivor W. Tsang
46
2
0
15 Dec 2021
Transferrable Contrastive Learning for Visual Domain Adaptation
Transferrable Contrastive Learning for Visual Domain Adaptation
Yang Chen
Yingwei Pan
Yu Wang
Ting Yao
Xinmei Tian
Tao Mei
97
23
0
14 Dec 2021
Revisiting Consistency Regularization for Semi-Supervised Learning
Revisiting Consistency Regularization for Semi-Supervised Learning
Yue Fan
Anna Kukleva
Bernt Schiele
142
65
0
10 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced
  Semi-Supervised Learning
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
Yue Fan
Dengxin Dai
Anna Kukleva
Bernt Schiele
69
46
0
08 Dec 2021
SCR: Training Graph Neural Networks with Consistency Regularization
SCR: Training Graph Neural Networks with Consistency Regularization
Chenhui Zhang
Yufei He
Yukuo Cen
Zhenyu Hou
Wenzheng Feng
Yuxiao Dong
Xu Cheng
Hongyun Cai
Feng He
Jie Tang
81
8
0
08 Dec 2021
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
Ruoyi Du
Dongliang Chang
Zhanyu Ma
Yi-Zhe Song
Jun Guo
OODD
103
1
0
06 Dec 2021
Implicit Equivariance in Convolutional Networks
Implicit Equivariance in Convolutional Networks
Naman Khetan
Tushar Arora
S. U. Rehman
D. K. Gupta
83
5
0
28 Nov 2021
Previous
123...567...101112
Next