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In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning

In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning

15 January 2021
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
ArXivPDFHTML

Papers citing "In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning"

50 / 261 papers shown
Title
Conservative-Progressive Collaborative Learning for Semi-supervised
  Semantic Segmentation
Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation
Siqi Fan
F. Zhu
Zunlei Feng
Yisheng Lv
Min-Gyoo Song
Fei-Yue Wang
24
25
0
30 Nov 2022
AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced
  Attention for Unsupervised Domain Adaptation
AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain Adaptation
Xinyao Shu
Shiyang Yan
Zhenyu Lu
Xinshao Wang
Yuan Xie
17
2
0
16 Nov 2022
Self-training of Machine Learning Models for Liver Histopathology:
  Generalization under Clinical Shifts
Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts
Jin Li
Deepta Rajan
Chintan Shah
Dinkar Juyal
S. Chakraborty
Chandan Akiti
Filip Kos
Janani Iyer
Anand Sampat
A. Behrooz
OOD
22
3
0
14 Nov 2022
CoNMix for Source-free Single and Multi-target Domain Adaptation
CoNMix for Source-free Single and Multi-target Domain Adaptation
Vikash Kumar
Rohit Lal
Himanshu Patil
Anirban Chakraborty
TTA
29
19
0
07 Nov 2022
A Close Look into the Calibration of Pre-trained Language Models
A Close Look into the Calibration of Pre-trained Language Models
Yangyi Chen
Lifan Yuan
Ganqu Cui
Zhiyuan Liu
Heng Ji
27
43
0
31 Oct 2022
An Effective Approach for Multi-label Classification with Missing Labels
An Effective Approach for Multi-label Classification with Missing Labels
Xin Zhang
R. Abdelfattah
Yuqi Song
Xiang Wang
25
4
0
24 Oct 2022
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image
  Classification
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification
R. Abdelfattah
Xin Zhang
M. Fouda
Xiang Wang
Song Wang
VLM
30
6
0
20 Oct 2022
Fuzzy Positive Learning for Semi-supervised Semantic Segmentation
Fuzzy Positive Learning for Semi-supervised Semantic Segmentation
Pengchong Qiao
Zhidan Wei
Yu Wang
Zhennan Wang
Guoli Song
Fan Xu
Xiang Ji
Chang-rui Liu
Jie Chen
19
19
0
16 Oct 2022
How Does Pseudo-Labeling Affect the Generalization Error of the
  Semi-Supervised Gibbs Algorithm?
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
Haiyun He
Gholamali Aminian
Yuheng Bu
Miguel R. D. Rodrigues
Vincent Y. F. Tan
32
4
0
15 Oct 2022
Injecting Domain Knowledge from Empirical Interatomic Potentials to
  Neural Networks for Predicting Material Properties
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
Zeren Shui
Daniel S. Karls
Mingjian Wen
Ilia Nikiforov
E. Tadmor
George Karypis
43
7
0
14 Oct 2022
StyLEx: Explaining Style Using Human Lexical Annotations
StyLEx: Explaining Style Using Human Lexical Annotations
Shirley Anugrah Hayati
Kyumin Park
Dheeraj Rajagopal
Lyle Ungar
Dongyeop Kang
25
3
0
14 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
35
42
0
11 Oct 2022
Continual Learning with Evolving Class Ontologies
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin
Deepak Pathak
Yu-xiong Wang
Deva Ramanan
Shu Kong
CLL
36
9
0
10 Oct 2022
An Action Is Worth Multiple Words: Handling Ambiguity in Action
  Recognition
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition
Kiyoon Kim
Davide Moltisanti
Oisin Mac Aodha
Laura Sevilla-Lara
16
0
0
10 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
27
6
0
10 Oct 2022
Learning functional sections in medical conversations: iterative
  pseudo-labeling and human-in-the-loop approach
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach
Mengqian Wang
Ilya Valmianski
X. Amatriain
Anitha Kannan
26
2
0
06 Oct 2022
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised
  3D Point Cloud Segmentation
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation
Rong Li
Anh-Quan Cao
Raoul de Charette
3DV
3DPC
131
13
0
04 Oct 2022
Inducing Data Amplification Using Auxiliary Datasets in Adversarial
  Training
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training
Saehyung Lee
Hyungyu Lee
AAML
29
2
0
27 Sep 2022
On the Surprising Effectiveness of Transformers in Low-Labeled Video
  Recognition
On the Surprising Effectiveness of Transformers in Low-Labeled Video Recognition
Farrukh Rahman
Ömer Mubarek
Z. Kira
ViT
15
2
0
15 Sep 2022
Active Self-Training for Weakly Supervised 3D Scene Semantic
  Segmentation
Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation
Geng-Ming Liu
Oliver Matias van Kaick
Hui Huang
Ruizhen Hu
3DPC
24
8
0
15 Sep 2022
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for
  Semi-Supervised Text Recognition
Seq-UPS: Sequential Uncertainty-aware Pseudo-label Selection for Semi-Supervised Text Recognition
Gaurav Patel
J. Allebach
Qiang Qiu
UQLM
30
17
0
31 Aug 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
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge
  Transfer
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer
Junjie Hu
Chenyou Fan
Mete Ozay
Hua Feng
Yuan Gao
Tin Lun Lam
SSL
24
2
0
29 Aug 2022
Toward Robust Graph Semi-Supervised Learning against Extreme Data
  Scarcity
Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity
Kaize Ding
E. Nouri
Guoqing Zheng
Huan Liu
Ryen W. White
21
9
0
26 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
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency
  Regularization
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization
Jiwon Kim
Youngjo Min
Daehwan Kim
Gyuseong Lee
Junyoung Seo
Kwang-seok Ryoo
Seung Wook Kim
11
41
0
18 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
Self-Supervised Speaker Verification Using Dynamic Loss-Gate and Label
  Correction
Self-Supervised Speaker Verification Using Dynamic Loss-Gate and Label Correction
Bing Han
Zhengyang Chen
Y. Qian
19
30
0
03 Aug 2022
Automatically Discovering Novel Visual Categories with Self-supervised
  Prototype Learning
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning
Lu Zhang
Lu Qi
Xu Yang
Hong Qiao
Ming Yang
Zhiyong Liu
SSL
38
3
0
01 Aug 2022
Semi-supervised 3D Object Detection with Proficient Teachers
Semi-supervised 3D Object Detection with Proficient Teachers
Junbo Yin
Jin Fang
Dingfu Zhou
Liangjun Zhang
Chengfeng Xu
Jianbing Shen
Wenguan Wang
3DPC
22
76
0
26 Jul 2022
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical
  Scene Segmentation with Limited Annotations
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations
Yang Yu
Zixu Zhao
Yueming Jin
Guangyong Chen
Qi Dou
Pheng-Ann Heng
28
4
0
20 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
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
Yingsong Huang
Bing Bai
Shengwei Zhao
Kun Bai
Fei-Yue Wang
NoLa
28
43
0
12 Jul 2022
Towards Realistic Semi-Supervised Learning
Towards Realistic Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
47
44
0
05 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
NP-Match: When Neural Processes meet Semi-Supervised Learning
NP-Match: When Neural Processes meet Semi-Supervised Learning
Jianfeng Wang
Thomas Lukasiewicz
Daniela Massiceti
Xiaolin Hu
Vladimir Pavlovic
A. Neophytou
BDL
63
41
0
03 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
Test-Time Adaptation for Visual Document Understanding
Test-Time Adaptation for Visual Document Understanding
Sayna Ebrahimi
Sercan Ö. Arik
Tomas Pfister
OOD
33
6
0
15 Jun 2022
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data
AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data
Amin Banitalebi-Dehkordi
Pratik Gujjar
Yong Zhang
SSL
21
8
0
14 Jun 2022
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
Z. Yu
Yin Li
Yong Jae Lee
14
0
0
13 Jun 2022
Confident Sinkhorn Allocation for Pseudo-Labeling
Confident Sinkhorn Allocation for Pseudo-Labeling
Vu-Linh Nguyen
Hisham Husain
S. Farfade
Anton Van Den Hengel
25
5
0
13 Jun 2022
A Unified Continuous Learning Framework for Multi-modal Knowledge
  Discovery and Pre-training
A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training
Zhihao Fan
Zhongyu Wei
Jingjing Chen
Siyuan Wang
Zejun Li
Jiarong Xu
Xuanjing Huang
CLL
9
6
0
11 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
Learning Unbiased Transferability for Domain Adaptation by Uncertainty
  Modeling
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
Jian Hu
Haowen Zhong
Junchi Yan
S. Gong
Guile Wu
Fei Yang
17
11
0
02 Jun 2022
From Keypoints to Object Landmarks via Self-Training Correspondence: A
  novel approach to Unsupervised Landmark Discovery
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery
Dimitrios Mallis
Enrique Sanchez
Matt Bell
Georgios Tzimiropoulos
SSL
3DPC
37
6
0
31 May 2022
Conformal Credal Self-Supervised Learning
Conformal Credal Self-Supervised Learning
Julian Lienen
Caglar Demir
Eyke Hüllermeier
29
13
0
30 May 2022
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly
  Supervised Text Classification
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification
Dheeraj Mekala
Chengyu Dong
Jingbo Shang
13
20
0
25 May 2022
Uncertainty-based Network for Few-shot Image Classification
Uncertainty-based Network for Few-shot Image Classification
Minglei Yuan
Qian Xu
Chunhao Cai
Yin-Dong Zheng
Tao Wang
Tong Lu
UQCV
35
3
0
17 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
185
258
0
15 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
32
41
0
13 May 2022
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