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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
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and
  Consistency
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency
Jae-Kwang Lim
Jongkeun Na
Nojun Kwak
73
2
0
15 Mar 2023
Exploring Large-scale Unlabeled Faces to Enhance Facial Expression
  Recognition
Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition
Jun-chen Yu
Zhongpeng Cai
Renda Li
Gongpeng Zhao
Guochen Xie
Jichao Zhu
Wangyuan Zhu
CVBM
104
11
0
15 Mar 2023
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D
  Object Detection
DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection
Jingyu Li
Zhe Liu
Ji Hou
Dingkang Liang
82
14
0
09 Mar 2023
Semi-Supervised 2D Human Pose Estimation Driven by Position
  Inconsistency Pseudo Label Correction Module
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
Linzhi Huang
Yulong Li
Hongbo Tian
Yue Yang
Xiangang Li
Weihong Deng
Jieping Ye
75
11
0
08 Mar 2023
Pseudo-label Correction and Learning For Semi-Supervised Object
  Detection
Pseudo-label Correction and Learning For Semi-Supervised Object Detection
Yulin He
Wei Chen
Kevin J. Liang
Yusong Tan
Zhengfa Liang
Yulan Guo
52
4
0
06 Mar 2023
Spatio-Temporal Structure Consistency for Semi-supervised Medical Image
  Classification
Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification
Wen-Ling Lei
Lei Liu
Li Liu
30
1
0
03 Mar 2023
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated
  Data
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
Sangwoo Mo
Jong-Chyi Su
Chih-Yao Ma
Mido Assran
Ishan Misra
Licheng Yu
Sean Bell
AI4TS
65
14
0
28 Feb 2023
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data
  with Convergence Analysis
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis
Nan Yang
Dong Yuan
Charles Z. Liu
Yong Deng
Wei Bao
FedML
94
5
0
23 Feb 2023
Towards End-to-end Semi-supervised Learning for One-stage Object
  Detection
Towards End-to-end Semi-supervised Learning for One-stage Object Detection
Gen Luo
Yiyi Zhou
Lei Jin
Xiaoshuai Sun
Rongrong Ji
69
5
0
22 Feb 2023
Multi-dimensional frequency dynamic convolution with confident mean
  teacher for sound event detection
Multi-dimensional frequency dynamic convolution with confident mean teacher for sound event detection
Shengchang Xiao
Xueshuai Zhang
Pengyuan Zhang
49
11
0
18 Feb 2023
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
Bowen Xu
Mingtao Chen
Wenlong Guan
Lulu Hu
115
37
0
15 Feb 2023
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
99
2
0
13 Feb 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
116
7
0
07 Feb 2023
Rethinking Semi-Supervised Medical Image Segmentation: A
  Variance-Reduction Perspective
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
Chenyu You
Weicheng Dai
Yifei Min
Fenglin Liu
David Clifton
S. Kevin Zhou
Lawrence H. Staib
James S Duncan
90
70
0
03 Feb 2023
Domain Generalization Emerges from Dreaming
Domain Generalization Emerges from Dreaming
Hwan Heo
Youngjin Oh
Jaewon Lee
Hyunwoo J. Kim
60
2
0
02 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning
Jianfeng Wang
Xiaolin Hu
Thomas Lukasiewicz
AAMLBDL
65
0
0
31 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
98
153
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
45
7
0
24 Jan 2023
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
Ying Jin
Jiaqi Wang
Dahua Lin
65
46
0
18 Jan 2023
Enhancing Self-Training Methods
Enhancing Self-Training Methods
Aswathnarayan Radhakrishnan
Jim Davis
Zachary Rabin
Benjamin Lewis
Matthew Scherreik
R. Ilin
56
1
0
18 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
SSLVLM
101
9
0
12 Jan 2023
Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers
Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers
Haojie Yu
Kangnian Zhao
Xiaoming Xu
ViT
81
1
0
04 Jan 2023
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic
  Segmentation
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation
Haoyu Ma
Xiangru Lin
Yizhou Yu
245
15
0
03 Jan 2023
Learning Object-level Point Augmentor for Semi-supervised 3D Object
  Detection
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection
Cheng-Ju Ho
Chen-Hsuan Tai
Yi-Hsuan Tsai
Yen-Yu Lin
Ming-Hsuan Yang
3DPC
62
3
0
19 Dec 2022
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models
Gyeongnyeon Kim
Wooseok Jang
Gyuseong Lee
Susung Hong
Junyoung Seo
Seung Wook Kim
VLMDiffM
70
12
0
17 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning
A soft nearest-neighbor framework for continual semi-supervised learning
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
SSLBDLCLL
74
18
0
09 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
SILMAAML
61
1
0
05 Dec 2022
SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft
  Pseudo-Labels
SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-Labels
M. Kišš
Michal Hradiš
Karel Beneš
Petr Buchal
Michal Kula
93
4
0
05 Dec 2022
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
Lukas Hoyer
Dengxin Dai
Haoran Wang
Luc Van Gool
131
230
0
02 Dec 2022
Progressive Feature Upgrade in Semi-supervised Learning on Tabular
  Domain
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain
Morteza Mohammady Gharasuie
Fenjiao Wang
65
0
0
01 Dec 2022
Deep Semi-supervised Learning with Double-Contrast of Features and
  Semantics
Deep Semi-supervised Learning with Double-Contrast of Features and Semantics
Quan Feng
Jiayu Yao
Zhisong Pan
Guojun Zhou
25
0
0
28 Nov 2022
Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised
  Learning and Deformable Transformers
Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers
Guangyu Ren
Michalis Lazarou
Jing Yuan
Tania Stathaki
ViTMedIm
54
9
0
21 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
82
4
0
20 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
67
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
72
6
0
13 Nov 2022
Gradient Imitation Reinforcement Learning for General Low-Resource
  Information Extraction
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Xuming Hu
Shiao Meng
Chenwei Zhang
Xiangli Yang
Lijie Wen
Irwin King
Philip S. Yu
97
0
0
11 Nov 2022
On the Domain Adaptation and Generalization of Pretrained Language
  Models: A Survey
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey
Xu Guo
Han Yu
LM&MAVLM
145
30
0
06 Nov 2022
Learning to Infer from Unlabeled Data: A Semi-supervised Learning
  Approach for Robust Natural Language Inference
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference
Mobashir Sadat
Cornelia Caragea
59
2
0
05 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation
  Learning Principle Guided Approach
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang
Yanchao Sun
Jiahao Su
Fengxiang He
Xinmei Tian
Furong Huang
Dinesh Manocha
Dacheng Tao
98
13
0
02 Nov 2022
The Perils of Learning From Unlabeled Data: Backdoor Attacks on
  Semi-supervised Learning
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning
Virat Shejwalkar
Lingjuan Lyu
Amir Houmansadr
AAML
94
10
0
01 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
62
1
0
28 Oct 2022
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online
  Action Prediction
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction
Samrudhdhi B. Rangrej
Kevin J. Liang
Tal Hassner
James J. Clark
94
4
0
24 Oct 2022
Continuous Pseudo-Labeling from the Start
Continuous Pseudo-Labeling from the Start
Dan Berrebbi
R. Collobert
Samy Bengio
Navdeep Jaitly
Tatiana Likhomanenko
63
16
0
17 Oct 2022
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised
  Instance Segmentation
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
Tianheng Cheng
Xinggang Wang
Shaoyu Chen
Qian Zhang
Wenyu Liu
ISeg
82
48
0
11 Oct 2022
On the Importance of Calibration in Semi-supervised Learning
On the Importance of Calibration in Semi-supervised Learning
Charlotte Loh
Rumen Dangovski
Shivchander Sudalairaj
Seung-Jun Han
Ligong Han
Leonid Karlinsky
Marin Soljacic
Akash Srivastava
57
6
0
10 Oct 2022
Label Propagation with Weak Supervision
Label Propagation with Weak Supervision
Rattana Pukdee
Dylan Sam
Maria-Florina Balcan
Pradeep Ravikumar
87
9
0
07 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
121
24
0
06 Oct 2022
Adaptively Weighted Data Augmentation Consistency Regularization for
  Robust Optimization under Concept Shift
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
Yijun Dong
Yuege Xie
Rachel A. Ward
OOD
76
1
0
04 Oct 2022
Contrastive Learning Can Find An Optimal Basis For Approximately
  View-Invariant Functions
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
Daniel D. Johnson
Ayoub El Hanchi
Chris J. Maddison
SSL
98
24
0
04 Oct 2022
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors
Zhen Xing
Hengduo Li
Zuxuan Wu
Yu-Gang Jiang
3DV
67
18
0
30 Sep 2022
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