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FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

15 October 2021
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
    AAML
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Papers citing "FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling"

50 / 411 papers shown
Title
Provable Weak-to-Strong Generalization via Benign Overfitting
Provable Weak-to-Strong Generalization via Benign Overfitting
David X. Wu
A. Sahai
68
6
0
06 Oct 2024
Flipped Classroom: Aligning Teacher Attention with Student in
  Generalized Category Discovery
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
Haonan Lin
Wenbin An
Jiahao Wang
Yan Chen
Feng Tian
Mengmeng Wang
Guang Dai
Qianying Wang
Jingdong Wang
36
2
0
29 Sep 2024
BiPC: Bidirectional Probability Calibration for Unsupervised Domain
  Adaption
BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption
Wenlve Zhou
Zhiheng Zhou
Junyuan Shang
Chang Niu
Mingyue Zhang
Xiyuan Tao
Tianlei Wang
30
0
0
29 Sep 2024
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning:
  a Debiased Training Perspective
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective
Yu Wang
Yuxuan Yin
Peng Li
28
0
0
26 Sep 2024
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
Zerun Wang
Liuyu Xiang
Lang Huang
Jiafeng Mao
Ling Xiao
Toshihiko Yamasaki
27
1
0
26 Sep 2024
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Kun Song
Zhiquan Tan
Bochao Zou
Jiansheng Chen
Huimin Ma
Weiran Huang
37
0
0
25 Sep 2024
Improving 3D Semi-supervised Learning by Effectively Utilizing All
  Unlabelled Data
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
Sneha Paul
Zachary Patterson
Nizar Bouguila
29
0
0
21 Sep 2024
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
Eric Li
Yifan Zhang
Yu Huang
Kevin Leach
34
0
0
20 Sep 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample
  Selection
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
Qian Shao
Jiangrui Kang
Qiyuan Chen
Zepeng Li
Hongxia Xu
Yiwen Cao
Jiajuan Liang
Jian Wu
28
0
0
18 Sep 2024
A Unified Contrastive Loss for Self-Training
A Unified Contrastive Loss for Self-Training
Aurélien Gauffre
Julien Horvat
Massih-Reza Amini
SSL
31
0
0
11 Sep 2024
Multimodal Emotion Recognition with Vision-language Prompting and
  Modality Dropout
Multimodal Emotion Recognition with Vision-language Prompting and Modality Dropout
Anbin QI
Zhongliang Liu
Xinyong Zhou
Jinba Xiao
Fengrun Zhang
Qi Gan
Ming Tao
Gaozheng Zhang
Lu Zhang
VLM
28
1
0
11 Sep 2024
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image
  Classification in Semi-Supervised Learning
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning
Bowen Tian
Songning Lai
Lujundong Li
Zhihao Shuai
Runwei Guan
Tian Wu
Yutao Yue
VLM
27
0
0
05 Sep 2024
Domain-Guided Weight Modulation for Semi-Supervised Domain
  Generalization
Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization
Chamuditha Jayanaga Galappaththige
Zachary Izzo
Xilin He
Honglu Zhou
Muhammad Haris Khan
27
3
0
04 Sep 2024
Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning (Full
  Version)
Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning (Full Version)
Jonathan Knauer
Phillip Rieger
Hossein Fereidooni
A. Sadeghi
AAML
32
0
0
02 Sep 2024
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for
  Semi-Supervised Fine-Grained Action Recognition
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition
Ishan Rajendrakumar Dave
Mamshad Nayeem Rizve
Mubarak Shah
AI4TS
25
2
0
02 Sep 2024
MV-Match: Multi-View Matching for Domain-Adaptive Identification of
  Plant Nutrient Deficiencies
MV-Match: Multi-View Matching for Domain-Adaptive Identification of Plant Nutrient Deficiencies
Jinhui Yi
Yanan Luo
Marion Deichmann
Gabriel Schaaf
Juergen Gall
31
0
0
02 Sep 2024
Towards Modality-agnostic Label-efficient Segmentation with
  Entropy-Regularized Distribution Alignment
Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution Alignment
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
32
0
0
29 Aug 2024
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
Yang Liu
Chuan Zhou
Peng Zhang
Yanan Cao
Yongchao Liu
Zhao Li
Hongyang Chen
41
2
0
27 Aug 2024
A Review of Pseudo-Labeling for Computer Vision
A Review of Pseudo-Labeling for Computer Vision
Patrick Kage
Jay C. Rothenberger
Pavlos Andreadis
Dimitrios I. Diochnos
VLM
34
3
0
13 Aug 2024
A Psychology-based Unified Dynamic Framework for Curriculum Learning
A Psychology-based Unified Dynamic Framework for Curriculum Learning
Guangyu Meng
Qingkai Zeng
John P. Lalor
Hong-ye Yu
29
0
0
09 Aug 2024
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for
  Semi-Supervised Learning
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
27
0
0
08 Aug 2024
Decorrelating Structure via Adapters Makes Ensemble Learning Practical
  for Semi-supervised Learning
Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning
Jiaqi Wu
Junbiao Pang
Qingming Huang
29
0
0
08 Aug 2024
Augmenting Channel Simulator and Semi- Supervised Learning for Efficient
  Indoor Positioning
Augmenting Channel Simulator and Semi- Supervised Learning for Efficient Indoor Positioning
Yupeng Li
Xinyu Ning
Shijian Gao
Yitong Liu
Zhi Sun
Qixing Wang
Jiangzhou Wang
11
0
0
01 Aug 2024
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Junming Su
Jinzhu Yang
Osmar R. Zaiane
51
0
0
31 Jul 2024
Contextuality Helps Representation Learning for Generalized Category
  Discovery
Contextuality Helps Representation Learning for Generalized Category Discovery
Tingzhang Luo
Mingxuan Du
Jiatao Shi
Xinxiang Chen
Bingchen Zhao
Shaoguang Huang
42
4
0
29 Jul 2024
Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment
Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment
Wu Yun
Mengshi Qi
Fei Peng
Huadong Ma
46
1
0
29 Jul 2024
Large-scale cervical precancerous screening via AI-assisted cytology
  whole slide image analysis
Large-scale cervical precancerous screening via AI-assisted cytology whole slide image analysis
Honglin Li
Yusuan Sun
Chenglu Zhu
Yunlong Zhang
Shichuan Zhang
...
Pingyi Chen
Jingxiong Li
Sunyi Zheng
Can Cui
Lin Yang
40
3
0
28 Jul 2024
Dual-Decoupling Learning and Metric-Adaptive Thresholding for
  Semi-Supervised Multi-Label Learning
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
Jia-Hao Xiao
Ming-Kun Xie
Heng-Bo Fan
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
33
0
0
26 Jul 2024
Is user feedback always informative? Retrieval Latent Defending for
  Semi-Supervised Domain Adaptation without Source Data
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Junha Song
Tae Soo Kim
Junha Kim
Gunhee Nam
Thijs Kooi
Jaegul Choo
47
1
0
22 Jul 2024
CRMSP: A Semi-supervised Approach for Key Information Extraction with
  Class-Rebalancing and Merged Semantic Pseudo-Labeling
CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling
Qi Zhang
Yonghong Song
Pengcheng Guo
Yangyang Hui
30
0
0
19 Jul 2024
DisenSemi: Semi-supervised Graph Classification via Disentangled
  Representation Learning
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
Yifan Wang
Xiao Luo
Chong Chen
Xian-Sheng Hua
Ming Zhang
Wei Ju
29
24
0
19 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
42
1
0
16 Jul 2024
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for
  Federated Semi-supervised Learning
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning
Marawan Elbatel
Hualiang Wang
Jixiang Chen
Hao Wang
Xiaomeng Li
FedML
60
0
0
14 Jul 2024
Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised
  Temporal Action Localization
Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action Localization
Qianhan Feng
Wenshuo Li
Tong Lin
Xinghao Chen
22
1
0
12 Jul 2024
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D
  Scene
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene
Ruiyang Zhang
Hu Zhang
Hang Yu
Zhedong Zheng
3DPC
44
1
0
11 Jul 2024
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo
  Supervision
PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision
Chengjie Wang
Chengming Xu
Zhenye Gan
Jianlong Hu
Wenbing Zhu
Lizhuag Ma
38
1
0
09 Jul 2024
An accurate detection is not all you need to combat label noise in
  web-noisy datasets
An accurate detection is not all you need to combat label noise in web-noisy datasets
Paul Albert
Jack Valmadre
Eric Arazo
Tarun Krishna
Noel E. O'Connor
Kevin McGuinness
AAML
43
0
0
08 Jul 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced
  Semi-Supervised Learning
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
Zeju Li
Ying-Qiu Zheng
Chen Chen
Saâd Jbabdi
40
0
0
07 Jul 2024
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample
  Contrastive Loss for Semi-supervised Image Classification
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification
Xuerong Zhang
Li Huang
Jing Lv
Ming Yang
39
1
0
04 Jul 2024
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation
Jinjing Zhu
Yucheng Chen
Lin Wang
VLM
48
3
0
01 Jul 2024
DCoM: Active Learning for All Learners
DCoM: Active Learning for All Learners
Inbal Mishal
D. Weinshall
VLM
32
0
0
01 Jul 2024
Multi-level Reliable Guidance for Unpaired Multi-view Clustering
Multi-level Reliable Guidance for Unpaired Multi-view Clustering
Like Xin
Wanqi Yang
Lei Wang
Ming Yang
42
0
0
01 Jul 2024
Robot Instance Segmentation with Few Annotations for Grasping
Robot Instance Segmentation with Few Annotations for Grasping
Moshe Kimhi
David Vainshtein
Chaim Baskin
Dotan Di Castro
53
2
0
01 Jul 2024
AstMatch: Adversarial Self-training Consistency Framework for
  Semi-Supervised Medical Image Segmentation
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
Guanghao Zhu
Jing Zhang
Juanxiu Liu
Xiaohui Du
Ruqian Hao
Yong Liu
Lin Liu
28
0
0
28 Jun 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
38
2
0
22 Jun 2024
Co-training for Low Resource Scientific Natural Language Inference
Co-training for Low Resource Scientific Natural Language Inference
Mobashir Sadat
Cornelia Caragea
35
0
0
20 Jun 2024
Computation-Efficient Semi-Supervised Learning for ECG-based
  Cardiovascular Diseases Detection
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
Rushuang Zhou
Zijun Liu
Lei A. Clifton
David A. Clifton
Kannie W. Y. Chan
Yuan-Ting Zhang
Yining Dong
31
0
0
20 Jun 2024
LayerMatch: Do Pseudo-labels Benefit All Layers?
LayerMatch: Do Pseudo-labels Benefit All Layers?
Chaoqi Liang
Guanglei Yang
Lifeng Qiao
Zitong Huang
Hongliang Yan
Yunchao Wei
W. Zuo
49
0
0
20 Jun 2024
You can't handle the (dirty) truth: Data-centric insights improve
  pseudo-labeling
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
Nabeel Seedat
Nicolas Huynh
F. Imrie
Mihaela van der Schaar
40
0
0
19 Jun 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised
  Learning
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning
Kai Gan
Tong Wei
Min-Ling Zhang
40
1
0
19 Jun 2024
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