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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
ArXivPDFHTML

Papers citing "FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling"

50 / 411 papers shown
Title
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Sungnyun Kim
Sangmin Bae
Se-Young Yun
22
9
0
20 Mar 2023
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Yuhao Chen
X. Tan
Borui Zhao
Zhaowei Chen
Renjie Song
Jiajun Liang
Xuequan Lu
22
32
0
20 Mar 2023
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
40
1
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
50
11
0
15 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Z. Yu
Yin Li
Yong Jae Lee
27
10
0
13 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
27
10
0
09 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
21
14
0
09 Mar 2023
Grasping Student: semi-supervised learning for robotic manipulation
Grasping Student: semi-supervised learning for robotic manipulation
P. Krzywicki
Krzysztof Ciebiera
Rafal Michaluk
Inga Maziarz
Marek Cygan
SSL
19
0
0
08 Mar 2023
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for
  Self-Training in Semi-Supervised Learning
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning
Julian Rodemann
Christoph Jansen
G. Schollmeyer
Thomas Augustin
23
0
0
02 Mar 2023
Revisiting Self-Training with Regularized Pseudo-Labeling for Tabular
  Data
Revisiting Self-Training with Regularized Pseudo-Labeling for Tabular Data
Miwook Kim
Juseong Kim
Giltae Song
19
2
0
27 Feb 2023
Multi-Action Dialog Policy Learning from Logged User Feedback
Multi-Action Dialog Policy Learning from Logged User Feedback
Shuo Zhang
Junzhou Zhao
Pinghui Wang
Tianxiang Wang
Zi Liang
Jing Tao
Y. Huang
Junlan Feng
OffRL
33
0
0
27 Feb 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
Zebin You
Yong Zhong
Fan Bao
Jiacheng Sun
Chongxuan Li
Jun Zhu
DiffM
VLM
206
36
0
21 Feb 2023
From Semi-supervised to Omni-supervised Room Layout Estimation Using
  Point Clouds
From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds
Huanhuan Gao
Beiwen Tian
Pengfei Li
Xiaoxue Chen
Hao Zhao
Guyue Zhou
Yurong Chen
H. Zha
3DPC
32
18
0
31 Jan 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
AAML
BDL
28
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
22
141
0
26 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision
Improving Open-Set Semi-Supervised Learning with Self-Supervision
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
31
6
0
24 Jan 2023
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot
  Class-Incremental Learning
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning
Yawen Cui
Wanxia Deng
Haoyu Chen
Li Liu
CLL
24
24
0
24 Jan 2023
Chaos to Order: A Label Propagation Perspective on Source-Free Domain
  Adaptation
Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation
Chunwei Wu
Guitao Cao
Yan Li
Xidong Xi
Wenming Cao
Hong Wang
TTA
24
2
0
20 Jan 2023
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant
Ying Jin
Jiaqi Wang
Dahua Lin
24
40
0
18 Jan 2023
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning
  Method
Hierarchical Memory Pool Based Edge Semi-Supervised Continual Learning Method
Xiangwei Wang
Rui Han
Chi Harold Liu
CLL
14
0
0
17 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
SSL
VLM
41
9
0
12 Jan 2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised
  Medical Image Segmentation
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Hua Yang
Xiaoli Liu
Jinzhu Yang
Osmar R. Zaiane
27
38
0
11 Jan 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels
Neighborhood-Regularized Self-Training for Learning with Few Labels
Ran Xu
Yue Yu
Hejie Cui
Xuan Kan
Yanqiao Zhu
Joyce C. Ho
Chao Zhang
Carl Yang
SSL
19
23
0
10 Jan 2023
Learning to Detect Noisy Labels Using Model-Based Features
Learning to Detect Noisy Labels Using Model-Based Features
Zhihao Wang
Zongyu Lin
Peiqi Liu
Guidong Zheng
Jun-Hao Wen
Xianxin Chen
Yujun Chen
Zhilin Yang
NoLa
14
3
0
28 Dec 2022
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos
Zixiao Wang
Junwu Weng
C. Yuan
Jue Wang
NoLa
27
4
0
27 Dec 2022
Joint Speech Transcription and Translation: Pseudo-Labeling with
  Out-of-Distribution Data
Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data
Mozhdeh Gheini
Tatiana Likhomanenko
Matthias Sperber
Hendra Setiawan
30
5
0
20 Dec 2022
Boosting Semi-Supervised Learning with Contrastive Complementary
  Labeling
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling
Qinyi Deng
Yong Guo
Zhibang Yang
Haolin Pan
Jian Chen
35
10
0
13 Dec 2022
Federated Few-Shot Learning for Mobile NLP
Federated Few-Shot Learning for Mobile NLP
Dongqi Cai
Shangguang Wang
Yaozong Wu
F. Lin
Mengwei Xu
FedML
13
12
0
12 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
21
17
0
09 Dec 2022
Learning with Partial Labels from Semi-supervised Perspective
Learning with Partial Labels from Semi-supervised Perspective
Ximing Li
Yuanzhi Jiang
C. Li
Yiyuan Wang
Jihong Ouyang
SSL
23
15
0
24 Nov 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Haoxing Chen
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Marios Savvides
Bhiksha Raj
32
12
0
20 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
24
3
0
20 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
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
52
0
0
11 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
38
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
27
10
0
01 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
SAT: Improving Semi-Supervised Text Classification with Simple
  Instance-Adaptive Self-Training
SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training
Hui Chen
Wei Han
Soujanya Poria
31
13
0
23 Oct 2022
Controller-Guided Partial Label Consistency Regularization with
  Unlabeled Data
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data
Qian-Wei Wang
Bowen Zhao
Mingyan Zhu
Tianxiang Li
Zimo Liu
Shutao Xia
30
2
0
20 Oct 2022
Class-Level Confidence Based 3D Semi-Supervised Learning
Class-Level Confidence Based 3D Semi-Supervised Learning
Zhimin Chen
Longlong Jing
Liang Yang
Yingwei Li
Bing Li
24
17
0
18 Oct 2022
Multiple Instance Learning via Iterative Self-Paced Supervised
  Contrastive Learning
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
Kangning Liu
Weicheng Zhu
Yiqiu Shen
Sheng Liu
N. Razavian
Krzysztof J. Geras
C. Fernandez‐Granda
SSL
28
24
0
17 Oct 2022
A Novel Membership Inference Attack against Dynamic Neural Networks by
  Utilizing Policy Networks Information
A Novel Membership Inference Attack against Dynamic Neural Networks by Utilizing Policy Networks Information
Pan Li
Peizhuo Lv
Shenchen Zhu
Ruigang Liang
Kai Chen
AAML
MU
16
0
0
17 Oct 2022
Bootstrapping the Relationship Between Images and Their Clean and Noisy
  Labels
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels
Brandon Smart
G. Carneiro
NoLa
26
11
0
17 Oct 2022
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in
  Autonomous Driving
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving
L. Yu
Yifan Zhang
Lanqing Hong
Fei Chen
Zhenguo Li
35
3
0
17 Oct 2022
Continuous Pseudo-Labeling from the Start
Continuous Pseudo-Labeling from the Start
Dan Berrebbi
R. Collobert
Samy Bengio
Navdeep Jaitly
Tatiana Likhomanenko
24
14
0
17 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
OPERA: Omni-Supervised Representation Learning with Hierarchical
  Supervisions
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions
Cheng-Hao Wang
Wenzhao Zheng
Zhengbiao Zhu
Jie Zhou
Jiwen Lu
SSL
AI4TS
47
4
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
27
6
0
10 Oct 2022
Is your noise correction noisy? PLS: Robustness to label noise with two
  stage detection
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection
Paul Albert
Eric Arazo
Tarun Kirshna
Noel E. O'Connor
Kevin McGuinness
NoLa
24
14
0
10 Oct 2022
Semi-supervised Semantic Segmentation with Prototype-based Consistency
  Regularization
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
Hai-Ming Xu
Lingqiao Liu
Qiuchen Bian
Zhengeng Yang
25
68
0
10 Oct 2022
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