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Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning

Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning

8 August 2019
Eric Arazo
Diego Ortego
Paul Albert
Noel E. O'Connor
Kevin McGuinness
ArXivPDFHTML

Papers citing "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

50 / 164 papers shown
Title
Semi-supervised learning made simple with self-supervised clustering
Semi-supervised learning made simple with self-supervised clustering
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
39
25
0
13 Jun 2023
Rethinking Semi-supervised Learning with Language Models
Rethinking Semi-supervised Learning with Language Models
Zhengxiang Shi
Francesco Tonolini
Nikolaos Aletras
Emine Yilmaz
G. Kazai
Yunlong Jiao
32
18
0
22 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various
  Imprecise Label Configurations
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen
Ankit Shah
Jindong Wang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
31
12
0
22 May 2023
Making the Most of What You Have: Adapting Pre-trained Visual Language
  Models in the Low-data Regime
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime
Chuhan Zhang
Antoine Miech
Jiajun Shen
Jean-Baptiste Alayrac
Pauline Luc
VLM
VPVLM
39
2
0
03 May 2023
Self-training with dual uncertainty for semi-supervised medical image
  segmentation
Self-training with dual uncertainty for semi-supervised medical image segmentation
Zhanhong Qiu
Haitao Gan
Mingzhi Shi
Zhongwei Huang
Zhi Yang
11
2
0
10 Apr 2023
InstructBio: A Large-scale Semi-supervised Learning Paradigm for
  Biochemical Problems
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems
Fang Wu
Huiling Qin
Siyuan Li
Stan Z. Li
Xianyuan Zhan
Jinbo Xu
24
5
0
08 Apr 2023
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain
  Adaptation
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation
Wenqiao Zhang
Changshuo Liu
Can Cui
Beng Chin Ooi
CML
27
0
0
30 Mar 2023
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose
  Estimation with Consistency Training
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training
Mohammad Rezaei
Farnaz Farahanipad
Alex Dillhoff
V. Athitsos
3DH
39
2
0
27 Mar 2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based
  Cross-Subject Emotion Recognition
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Rushuang Zhou
Weishan Ye
Zhiguo Zhang
Yanyang Luo
Li Zhang
Linling Li
G. Huang
Yining Dong
Yuan Zhang
Zhen Liang
33
9
0
27 Mar 2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised
  Point Cloud Segmentation
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation
Zhonghua Wu
Yicheng Wu
Guosheng Lin
Jianfei Cai
3DPC
29
10
0
09 Mar 2023
Toward Data-Driven Glare Classification and Prediction for Marine
  Megafauna Survey
Toward Data-Driven Glare Classification and Prediction for Marine Megafauna Survey
J. Power
Derek Jacoby
M. Drouin
Guillaume Durand
Yvonne Coady
Julian Meng
23
1
0
03 Mar 2023
Self-training through Classifier Disagreement for Cross-Domain Opinion
  Target Extraction
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction
Kai Sun
Richong Zhang
Samuel Mensah
Nikolaos Aletras
Yongyi Mao
Xudong Liu
21
1
0
28 Feb 2023
Novel Class Discovery: an Introduction and Key Concepts
Novel Class Discovery: an Introduction and Key Concepts
Colin Troisemaine
V. Lemaire
Stéphane Gosselin
Alexandre Reiffers-Masson
Joachim Flocon-Cholet
Sandrine Vaton
40
21
0
22 Feb 2023
Self-improving object detection via disagreement reconciliation
Self-improving object detection via disagreement reconciliation
Gianluca Scarpellini
Stefano Rosa
Pietro Morerio
Lorenzo Natale
Alessio Del Bue
ObjD
25
3
0
21 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
25
4
0
06 Feb 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
22
141
0
26 Jan 2023
Enhancing Self-Training Methods
Enhancing Self-Training Methods
Aswathnarayan Radhakrishnan
Jim Davis
Zachary Rabin
Benjamin Lewis
Matthew Scherreik
R. Ilin
21
1
0
18 Jan 2023
Cluster-guided Contrastive Graph Clustering Network
Cluster-guided Contrastive Graph Clustering Network
Xihong Yang
Yue Liu
Sihang Zhou
Siwei Wang
Wenxuan Tu
Qun Zheng
Xinwang Liu
Liming Fang
En Zhu
42
91
0
03 Jan 2023
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher
Kei-Sing Ng
Qingchen Wang
VLM
21
1
0
27 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
SSL
BDL
CLL
24
17
0
09 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
31
73
0
09 Dec 2022
Dist-PU: Positive-Unlabeled Learning from a Label Distribution
  Perspective
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
Yunrui Zhao
Qianqian Xu
Yangbangyan Jiang
Peisong Wen
Qingming Huang
24
37
0
06 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
33
0
0
01 Dec 2022
Towards Practical Few-shot Federated NLP
Towards Practical Few-shot Federated NLP
Dongqi Cai
Yaozong Wu
Haitao Yuan
Shangguang Wang
F. Lin
Mengwei Xu
FedML
34
6
0
01 Dec 2022
An Empirical Study on the Efficacy of Deep Active Learning for Image
  Classification
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification
Yu Li
Mu-Hwa Chen
Yannan Liu
Daojing He
Qiang Xu
31
9
0
30 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
22
0
0
17 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive
  Survey
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
Yuecong Xu
Haozhi Cao
Zhenghua Chen
Xiaoli Li
Lihua Xie
Jianfei Yang
24
14
0
17 Nov 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Qianling Guo
Yong Qi
Saiyu Qi
Di Wu
FedML
21
5
0
16 Nov 2022
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule
  Diagnosis
cRedAnno+: Annotation Exploitation in Self-Explanatory Lung Nodule Diagnosis
Jiahao Lu
Chong Yin
Kenny Erleben
M. B. Nielsen
S. Darkner
24
1
0
28 Oct 2022
Polycentric Clustering and Structural Regularization for Source-free
  Unsupervised Domain Adaptation
Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation
Xinyu Guan
Han Sun
Ningzhong Liu
Huiyu Zhou
22
2
0
14 Oct 2022
Improving Multi-fidelity Optimization with a Recurring Learning Rate for
  Hyperparameter Tuning
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning
HyunJae Lee
Gihyeon Lee
Junh-Nam Kim
Sungjun Cho
Dohyun Kim
Donggeun Yoo
31
3
0
26 Sep 2022
Learning from Future: A Novel Self-Training Framework for Semantic
  Segmentation
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
Ye Du
Yujun Shen
Haochen Wang
Jingjing Fei
Wei Li
Liwei Wu
Rui Zhao
Zehua Fu
Qingjie Liu
42
29
0
15 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
41
18
0
06 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
32
26
0
03 Sep 2022
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label
  Semi-Supervised Classification
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification
Jun Huang
Alexander Huang
Beatriz C. Guerra
Yen-Yun Yu
27
4
0
30 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
45
113
0
24 Aug 2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image
  Classification
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
R. Abdelfattah
Xin Zhang
Zhenyao Wu
Xinyi Wu
Xiang Wang
Song Wang
VLM
42
6
0
22 Aug 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised
  Learning
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning
Yue Duan
Lei Qi
Lei Wang
Luping Zhou
Yinghuan Shi
OOD
21
11
0
09 Aug 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Renzhen Wang
Xixi Jia
Quanziang Wang
Yichen Wu
Deyu Meng
25
16
0
28 Jul 2022
Leveraging Action Affinity and Continuity for Semi-supervised Temporal
  Action Segmentation
Leveraging Action Affinity and Continuity for Semi-supervised Temporal Action Segmentation
Guodong Ding
Angela Yao
19
17
0
18 Jul 2022
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised
  Object Detection
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection
Lei Zhang
Yuxuan Sun
Wei Wei
29
18
0
17 Jul 2022
Semi-supervised cross-lingual speech emotion recognition
Semi-supervised cross-lingual speech emotion recognition
Mirko Agarla
Simone Bianco
Luigi Celona
Paolo Napoletano
A. Petrovsky
Flavio Piccoli
Raimondo Schettini
I. Shanin
30
14
0
14 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
M-U Jang
Sae-Young Chung
Hye Won Chung
OOD
TTA
38
56
0
08 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World
  Semi-Supervised Learning
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
Salman Khan
F. Khan
M. Shah
36
49
0
05 Jul 2022
On Non-Random Missing Labels in Semi-Supervised Learning
On Non-Random Missing Labels in Semi-Supervised Learning
Xinting Hu
Yulei Niu
C. Miao
Xiansheng Hua
Hanwang Zhang
34
18
0
29 Jun 2022
Boosting Cross-Domain Speech Recognition with Self-Supervision
Boosting Cross-Domain Speech Recognition with Self-Supervision
Hanjing Zhu
Gaofeng Cheng
Jindong Wang
Wenxin Hou
Pengyuan Zhang
Yonghong Yan
19
13
0
20 Jun 2022
Confidence Score for Source-Free Unsupervised Domain Adaptation
Confidence Score for Source-Free Unsupervised Domain Adaptation
Jonghyun Lee
Dahuin Jung
Junho Yim
Sung-Hoon Yoon
TTA
18
70
0
14 Jun 2022
Transductive CLIP with Class-Conditional Contrastive Learning
Transductive CLIP with Class-Conditional Contrastive Learning
Junchu Huang
Weijie Chen
Shicai Yang
Di Xie
Shiliang Pu
Yueting Zhuang
VLM
BDL
NoLa
14
6
0
13 Jun 2022
Alternately Optimized Graph Neural Networks
Alternately Optimized Graph Neural Networks
Haoyu Han
Xiaorui Liu
Haitao Mao
Torkamani Ali
Feng Shi
Victor E. Lee
Jiliang Tang
GNN
31
8
0
08 Jun 2022
Revisiting Realistic Test-Time Training: Sequential Inference and
  Adaptation by Anchored Clustering
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
Yongyi Su
Xun Xu
Kui Jia
TTA
OOD
29
45
0
06 Jun 2022
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