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Dash: Semi-Supervised Learning with Dynamic Thresholding

Dash: Semi-Supervised Learning with Dynamic Thresholding

1 September 2021
Yi Tian Xu
Lei Shang
Jinxing Ye
Qi Qian
Yu-Feng Li
Baigui Sun
Hao Li
R. L. Jin
ArXivPDFHTML

Papers citing "Dash: Semi-Supervised Learning with Dynamic Thresholding"

50 / 119 papers shown
Title
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
Zhiquan Tan
Kaipeng Zheng
Weiran Huang
OT
41
8
0
26 Oct 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness
  for Semi-Supervised Learning
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
Zhuo Huang
Li Shen
Jun-chen Yu
Bo Han
Tongliang Liu
FedML
29
21
0
25 Oct 2023
SequenceMatch: Revisiting the design of weak-strong augmentations for
  Semi-supervised learning
SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
Khanh-Binh Nguyen
18
3
0
24 Oct 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
Khanh-Binh Nguyen
27
2
0
24 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
38
9
0
04 Oct 2023
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Zhimin Sun
Shen Chen
Taiping Yao
Bangjie Yin
Ran Yi
Shouhong Ding
Lizhuang Ma
CVBM
12
21
0
20 Sep 2023
Towards Self-Adaptive Pseudo-Label Filtering for Semi-Supervised
  Learning
Towards Self-Adaptive Pseudo-Label Filtering for Semi-Supervised Learning
Lei Zhu
Zhanghan Ke
Rynson W. H. Lau
22
2
0
18 Sep 2023
Enhancing Sample Utilization through Sample Adaptive Augmentation in
  Semi-Supervised Learning
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning
Guan Gui
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
AAML
38
7
0
07 Sep 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch
  Size
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size
John Chen
Chen Dun
Anastasios Kyrillidis
21
2
0
07 Sep 2023
Pruning the Unlabeled Data to Improve Semi-Supervised Learning
Pruning the Unlabeled Data to Improve Semi-Supervised Learning
Guy Hacohen
D. Weinshall
SSL
21
1
0
27 Aug 2023
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic
  Segmentation
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
Chen Liang
Wenguan Wang
Jiaxu Miao
Yi Yang
NAI
39
29
0
24 Aug 2023
Towards Semi-supervised Learning with Non-random Missing Labels
Towards Semi-supervised Learning with Non-random Missing Labels
Yue Duan
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
34
9
0
17 Aug 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
Lihe Yang
Zhen Zhao
Lei Qi
Yu Qiao
Yinghuan Shi
Hengshuang Zhao
19
15
0
13 Aug 2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency
SimMatchV2: Semi-Supervised Learning with Graph Consistency
Mingkai Zheng
Shan You
Lang Huang
Chen Luo
Fei Wang
Chao Qian
Chang Xu
SSL
29
7
0
13 Aug 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning
  with Limited Labels
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
Yae Jee Cho
Gauri Joshi
Dimitrios Dimitriadis
FedML
28
4
0
17 Jul 2023
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
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised
  Learning with Proper Calibration
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
Emanuel Sanchez Aimar
Hannah Helgesen
Yonghao Xu
Marco Kuhlmann
M. Felsberg
26
0
0
07 Jun 2023
CorrMatch: Label Propagation via Correlation Matching for
  Semi-Supervised Semantic Segmentation
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
Bo Sun
Yuqi Yang
Le Zhang
Ming-Ming Cheng
Qibin Hou
31
25
0
07 Jun 2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
Haochen Wang
Yuchao Wang
Yujun Shen
Junsong Fan
Yuxi Wang
Zhaoxiang Zhang
UQCV
37
10
0
04 Jun 2023
Balancing Logit Variation for Long-tailed Semantic Segmentation
Balancing Logit Variation for Long-tailed Semantic Segmentation
Yuchao Wang
Jingjing Fei
Haochen Wang
Wei Li
Tianpeng Bao
Liwei Wu
Rui Zhao
Yujun Shen
36
25
0
03 Jun 2023
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label
  Prompt Tuning
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning
Cristina Menghini
Andrew T. Delworth
Stephen H. Bach
VLM
15
21
0
02 Jun 2023
Healing Unsafe Dialogue Responses with Weak Supervision Signals
Healing Unsafe Dialogue Responses with Weak Supervision Signals
Zi Liang
Pinghui Wang
Ruofei Zhang
Shuo Zhang
Xiaofan Ye Yi Huang
Junlan Feng
29
1
0
25 May 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
37
12
0
22 May 2023
CAT: A Contextualized Conceptualization and Instantiation Framework for
  Commonsense Reasoning
CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning
Weiqi Wang
Tianqing Fang
Baixuan Xu
Chun Yi Louis Bo
Yangqiu Song
Lei Chen
ReLM
LRM
25
34
0
08 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label
  Learning
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
40
16
0
04 May 2023
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Zhengxiang Shi
Aldo Lipani
VLM
CLL
37
21
0
02 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao Wang
Yifan Zhang
56
6
0
26 Apr 2023
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical
  Consistency for Efficient Semi-supervised Learning
ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Gholamreza Haffari
40
17
0
22 Mar 2023
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised
  Learning
Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning
Yang Yu
Danruo Deng
Fu-Lun Liu
Yueming Jin
Qi Dou
Guangyong Chen
Pheng-Ann Heng
EDL
BDL
35
3
0
21 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
32
32
0
20 Mar 2023
ABAW : Facial Expression Recognition in the wild
ABAW : Facial Expression Recognition in the wild
Darshan Gera
Badveeti Naveen
Bobbili Veerendra
Dr. S Balasubramanian
CVBM
38
4
0
17 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
58
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
Zhuliang Yu
Yin Li
Yong Jae Lee
27
10
0
13 Mar 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
41
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
209
36
0
21 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
33
142
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
34
7
0
24 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
46
9
0
12 Jan 2023
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
32
17
0
09 Dec 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
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
25
0
0
17 Nov 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
32
17
0
18 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
27
19
0
16 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
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
Yangbangyan Jiang Xiaodan Li
Xiaodan Li
YueFeng Chen
Yuan He
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
19
18
0
26 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
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
27
42
0
18 Aug 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
USB: A Unified Semi-supervised Learning Benchmark for Classification
Yidong Wang
Hao Chen
Yue Fan
Wangbin Sun
R. Tao
...
T. Shinozaki
Bernt Schiele
Jindong Wang
Xingxu Xie
Yue Zhang
27
113
0
12 Aug 2022
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