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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 / 205 papers shown
Title
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
34
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
33
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
41
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
35
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
43
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
46
59
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
Fahad Shahbaz Khan
M. Shah
55
50
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
Chunyan Miao
Xiansheng Hua
Hanwang Zhang
63
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
35
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
34
73
0
14 Jun 2022
Label Matching Semi-Supervised Object Detection
Label Matching Semi-Supervised Object Detection
Binbin Chen
Weijie Chen
Shicai Yang
Yunyi Xuan
Mingli Song
Di Xie
Shiliang Pu
Mingli Song
Yueting Zhuang
43
75
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
43
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
77
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
37
46
0
06 Jun 2022
Conformal Credal Self-Supervised Learning
Conformal Credal Self-Supervised Learning
Julian Lienen
Caglar Demir
Eyke Hüllermeier
34
13
0
30 May 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of
  Black-Box Predictors
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Jianfei Yang
Xiangyu Peng
Kaidi Wang
Zheng Hua Zhu
Jiashi Feng
Lihua Xie
Yang You
44
27
0
28 May 2022
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble
  Pseudo-Labeling
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-Labeling
Christopher Liao
Theodoros Tsiligkaridis
Brian Kulis
VLM
TTA
OOD
40
3
0
26 May 2022
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
...
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
194
265
0
15 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates
Perspectives on Incorporating Expert Feedback into Model Updates
Valerie Chen
Umang Bhatt
Hoda Heidari
Adrian Weller
Ameet Talwalkar
56
11
0
13 May 2022
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional
  Zero-Shot Learning
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
Shyamgopal Karthik
Massimiliano Mancini
Zeynep Akata
CoGe
37
41
0
13 May 2022
Reliable Label Correction is a Good Booster When Learning with Extremely
  Noisy Labels
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels
Kaidi Wang
Xiang Peng
Shuo Yang
Jianfei Yang
Zheng Hua Zhu
Xinchao Wang
Yang You
NoLa
29
8
0
30 Apr 2022
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer
  Classification
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
Angelica I. Aviles-Rivero
Christina Runkel
Nicolas Papadakis
Zoe Kourtzi
Carola-Bibiane Schönlieb
DiffM
MedIm
27
19
0
04 Apr 2022
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
Hazel Doughty
Cees G. M. Snoek
64
19
0
23 Mar 2022
Semi-Supervised Learning with Mutual Distillation for Monocular Depth
  Estimation
Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation
Jongbeom Baek
Gyeongnyeon Kim
Seung Wook Kim
FedML
MDE
50
12
0
18 Mar 2022
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object
  Detection in Autonomous Driving Systems
PseudoProp: Robust Pseudo-Label Generation for Semi-Supervised Object Detection in Autonomous Driving Systems
Shu Hu
Chunfang Liu
Jayanta K. Dutta
Ming-Ching Chang
Siwei Lyu
Naveen Ramakrishnan
34
15
0
11 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
35
334
0
08 Mar 2022
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point
  Clouds for Closing Domain Gap
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap
Yuxiao Chen
Zihao Wang
Longkun Zou
Ke Chen
Kui Jia
3DPC
34
9
0
08 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive
  Pseudo Labeling and Informative Active Annotation
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
Wenqiao Zhang
Lei Zhu
James Hallinan
A. Makmur
Shengyu Zhang
Qingpeng Cai
Beng Chin Ooi
56
82
0
04 Mar 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
34
3
0
17 Feb 2022
Debiased Self-Training for Semi-Supervised Learning
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
39
86
0
15 Feb 2022
Positive-Unlabeled Domain Adaptation
Positive-Unlabeled Domain Adaptation
Jonas Sonntag
Gunnar Behrens
Lars Schmidt-Thieme
24
2
0
11 Feb 2022
Privacy-preserving Speech Emotion Recognition through Semi-Supervised
  Federated Learning
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning
Vasileios Tsouvalas
T. Ozcelebi
N. Meratnia
39
22
0
05 Feb 2022
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
Uncertainty-aware Pseudo-label Selection for Positive-Unlabeled Learning
Emilio Dorigatti
Jann Goschenhofer
B. Schubert
Mina Rezaei
Bernd Bischl
34
3
0
31 Jan 2022
Neuro-Symbolic Entropy Regularization
Neuro-Symbolic Entropy Regularization
Kareem Ahmed
Eric Wang
Kai-Wei Chang
Guy Van den Broeck
60
22
0
25 Jan 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label
  Learning
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning
Haobo Wang
Rui Xiao
Yixuan Li
Lei Feng
Gang Niu
Gang Chen
Jiaqi Zhao
VLM
61
25
0
22 Jan 2022
Estimating Egocentric 3D Human Pose in the Wild with External Weak
  Supervision
Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision
Jian Wang
Lingjie Liu
Weipeng Xu
Kripasindhu Sarkar
D. Luvizon
Christian Theobalt
EgoV
27
33
0
20 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
20
40
0
17 Jan 2022
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
38
30
0
22 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
34
1
0
15 Dec 2021
Not All Relations are Equal: Mining Informative Labels for Scene Graph
  Generation
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation
A. Goel
Basura Fernando
Frank Keller
Hakan Bilen
35
31
0
26 Nov 2021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image
  Classification
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Fengbei Liu
Yu Tian
Yuanhong Chen
Yuyuan Liu
Vasileios Belagiannis
G. Carneiro
54
79
0
25 Nov 2021
Perturbed and Strict Mean Teachers for Semi-supervised Semantic
  Segmentation
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Yuyuan Liu
Yu Tian
Yuanhong Chen
Fengbei Liu
Vasileios Belagiannis
G. Carneiro
46
180
0
25 Nov 2021
Addressing out-of-distribution label noise in webly-labelled data
Addressing out-of-distribution label noise in webly-labelled data
Paul Albert
Diego Ortego
Eric Arazo
Noel E. O'Connor
Kevin McGuinness
NoLa
29
16
0
26 Oct 2021
Unsupervised Natural Language Inference Using PHL Triplet Generation
Unsupervised Natural Language Inference Using PHL Triplet Generation
Neeraj Varshney
Pratyay Banerjee
Tejas Gokhale
Chitta Baral
36
9
0
16 Oct 2021
Combining Diverse Feature Priors
Combining Diverse Feature Priors
Saachi Jain
Dimitris Tsipras
Aleksander Madry
69
14
0
15 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
286
873
0
15 Oct 2021
Automated Feature-Specific Tree Species Identification from Natural
  Images using Deep Semi-Supervised Learning
Automated Feature-Specific Tree Species Identification from Natural Images using Deep Semi-Supervised Learning
Dewald Homan
J. D. Preez
34
12
0
08 Oct 2021
Decoupled Adaptation for Cross-Domain Object Detection
Decoupled Adaptation for Cross-Domain Object Detection
Junguang Jiang
Baixu Chen
Jianmin Wang
Mingsheng Long
ObjD
92
64
0
06 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher
  Framework
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang
Yifan Sun
Xun Wang
Haotian Yao
Chi Zhang
25
3
0
04 Oct 2021
Semi-Supervised Text Classification via Self-Pretraining
Semi-Supervised Text Classification via Self-Pretraining
Payam Karisani
Negin Karisani
SSL
VLM
33
22
0
30 Sep 2021
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