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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
Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering
Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering
Xukai Liu
Ye Liu
Shiwen Wu
Yanghai Zhang
Yihao Yuan
Kai Zhang
Qi Liu
7
0
0
19 May 2025
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
Enhao Zhang
Chaohua Li
Chuanxing Geng
Songcan Chen
59
0
0
08 May 2025
SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognition
SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognition
Sixian Ding
Xu Jiang
Zhongjing Du
Jiaqi Cui
Xinyi Zeng
Yan Wang
57
0
0
24 Mar 2025
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
Jungsoo Lee
Debasmit Das
Munawar Hayat
Sungha Choi
Kyuwoong Hwang
Fatih Porikli
VLM
68
1
0
23 Mar 2025
CGMatch: A Different Perspective of Semi-supervised Learning
Bo Cheng
Jueqing Lu
Yuan Tian
Haifeng Zhao
Yi-Ju Chang
Lan Du
45
0
0
04 Mar 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
Haorong Han
Jidong Yuan
Chixuan Wei
Zhongyang Yu
199
1
0
14 Dec 2024
DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D
  Semi-supervised Learning
DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D Semi-supervised Learning
Zhaoyu Chen
Bing Li
42
0
0
13 Nov 2024
OwMatch: Conditional Self-Labeling with Consistency for Open-World
  Semi-Supervised Learning
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
Shengjie Niu
Lifan Lin
Jian Huang
Chao Wang
29
1
0
04 Nov 2024
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking
  Classifier
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
Pin-Yen Huang
Szu-Wei Fu
Yu Tsao
37
0
0
29 Oct 2024
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li
Jiachun Pan
Vincent Y. F. Tan
Kim-Chuan Toh
Pan Zhou
AAML
MLT
48
0
0
15 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
42
2
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
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
42
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
A Unified Contrastive Loss for Self-Training
A Unified Contrastive Loss for Self-Training
Aurélien Gauffre
Julien Horvat
Massih-Reza Amini
SSL
36
0
0
11 Sep 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
35
0
0
08 Aug 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
53
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
38
0
0
19 Jul 2024
On Diversity in Discriminative Neural Networks
On Diversity in Discriminative Neural Networks
Brahim Oubaha
Claude Berrou
Xueyao Ji
Yehya Nasser
R. L. Bidan
32
0
0
17 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 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
48
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
47
1
0
04 Jul 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
44
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
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
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by
  Prompt Tuning with Unlabeled Data
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
Jiahan Zhang
Qinglai Wei
Feng Liu
Lei Feng
VLM
31
7
0
15 Jun 2024
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension
  Abilities of Language Models in E-commerce
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce
Wenxuan Ding
Weiqi Wang
Sze Heng Douglas Kwok
Minghao Liu
Tianqing Fang
Jiaxin Bai
Junxian He
Yangqiu Song
RALM
44
7
0
14 Jun 2024
Unveiling the Dynamics of Information Interplay in Supervised Learning
Unveiling the Dynamics of Information Interplay in Supervised Learning
Kun Song
Zhiquan Tan
Bochao Zou
Huimin Ma
Weiran Huang
38
2
0
06 Jun 2024
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised
  Referring Expression Segmentation
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
Danni Yang
Jiayi Ji
Yiwei Ma
Tianyu Guo
Haowei Wang
Xiaoshuai Sun
Rongrong Ji
ISeg
VLM
39
5
0
03 Jun 2024
Generalized Semi-Supervised Learning via Self-Supervised Feature
  Adaptation
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
Jiachen Liang
Ruibing Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
39
4
0
31 May 2024
Smooth Pseudo-Labeling
Smooth Pseudo-Labeling
Nikolaos Karaliolios
Hervé Le Borgne
Florian Chabot
34
0
0
23 May 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised
  Learning
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Kai Gan
Tong Wei
49
11
0
20 May 2024
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
Yang Yang
Nan Jiang
Yi Tian Xu
De-Chuan Zhan
36
17
0
11 May 2024
MaskMatch: Boosting Semi-Supervised Learning Through Mask
  Autoencoder-Driven Feature Learning
MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning
Wenjin Zhang
Keyi Li
Sen Yang
Chenyang Gao
Wanzhao Yang
Sifan Yuan
I. Marsic
36
1
0
10 May 2024
Reinforcement Learning-Guided Semi-Supervised Learning
Reinforcement Learning-Guided Semi-Supervised Learning
Marzi Heidari
Hanping Zhang
Yuhong Guo
OffRL
39
0
0
02 May 2024
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled
  Examples in Semi-supervised Learning
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
Shijie Fang
Qianhan Feng
Tong Lin
31
0
0
18 Apr 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image
  Classification
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification
Qi Han
Zhibo Tian
Chengwei Xia
Kun Zhan
SSL
32
5
0
17 Apr 2024
Incremental Self-training for Semi-supervised Learning
Incremental Self-training for Semi-supervised Learning
Member Ieee Jifeng Guo
Zhulin Liu
Senior Member Ieee Tong Zhang
F. I. C. L. Philip Chen
CLL
33
3
0
14 Apr 2024
EPL: Evidential Prototype Learning for Semi-supervised Medical Image
  Segmentation
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He
EDL
39
2
0
09 Apr 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Shambhavi Mishra
Balamurali Murugesan
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
48
2
0
22 Mar 2024
Exploring Facial Expression Recognition through Semi-Supervised
  Pretraining and Temporal Modeling
Exploring Facial Expression Recognition through Semi-Supervised Pretraining and Temporal Modeling
Jun-chen Yu
Zhihong Wei
Zhongpeng Cai
Gongpeng Zhao
Zerui Zhang
Yongqi Wang
Guochen Xie
Jichao Zhu
Wangyuan Zhu
CVBM
32
10
0
18 Mar 2024
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Kibum Kim
Kanghoon Yoon
Yeonjun In
Jinyoung Moon
Donghyun Kim
Chanyoung Park
41
8
0
18 Jan 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Kuo Yang
Duo Li
Menghan Hu
Guangtao Zhai
Xiaokang Yang
Xiao-Ping Zhang
35
0
0
09 Jan 2024
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with
  Noisy Labels
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
Wanxing Chang
Ye-ling Shi
Jingya Wang
OT
38
12
0
11 Dec 2023
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han
Guanxin Wan
Bing Wang
21
5
0
06 Dec 2023
How Many Validation Labels Do You Need? Exploring the Design Space of
  Label-Efficient Model Ranking
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking
Zhengyu Hu
Jieyu Zhang
Yue Yu
Yuchen Zhuang
Hui Xiong
26
5
0
04 Dec 2023
Semi-supervised Semantic Segmentation via Boosting Uncertainty on
  Unlabeled Data
Semi-supervised Semantic Segmentation via Boosting Uncertainty on Unlabeled Data
Daoan Zhang
Yunhao Luo
Jiang Zhang
UQCV
27
0
0
30 Nov 2023
Match me if you can: Semantic Correspondence Learning with Unpaired
  Images
Match me if you can: Semantic Correspondence Learning with Unpaired Images
Jiwon Kim
Byeongho Heo
Sangdoo Yun
Seungryong Kim
Dongyoon Han
25
1
0
30 Nov 2023
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language
  Guidance
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
Lukas Hoyer
D. Tan
Muhammad Ferjad Naeem
Luc Van Gool
F. Tombari
VLM
MLLM
36
16
0
27 Nov 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
Muyang Li
Runze Wu
Haoyu Liu
Jun-chen Yu
Xun Yang
Bo Han
Tongliang Liu
34
17
0
29 Oct 2023
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