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2205.07246
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FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
International Conference on Learning Representations (ICLR), 2022
15 May 2022
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
Zhen Wu
Yongfeng Zhang
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
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Papers citing
"FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning"
50 / 169 papers shown
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461
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A General Framework for Learning from Weak Supervision
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334
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Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection
European Conference on Computer Vision (ECCV), 2024
Yongwei Nie
Hao Huang
Chengjiang Long
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Pradipta Maji
Hongmin Cai
270
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Adaptive Self-training Framework for Fine-grained Scene Graph Generation
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237
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Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
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196
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Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning
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Ismail Elezi
Jiankang Deng
Weiming Dong
Changsheng Xu
181
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25 Dec 2023
Mixed Pseudo Labels for Semi-Supervised Object Detection
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263
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386
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Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object Detection
International Conference on Information Photonics (ICIP), 2023
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226
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Yutong Xie
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256
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20 Nov 2023
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Maria Brbić
274
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Manchen Wang
Luca Zancato
Gurumurthy Swaminathan
Paolo Favaro
Davide Modolo
275
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03 Nov 2023
Generalized Category Discovery with Clustering Assignment Consistency
International Conference on Neural Information Processing (ICONIP), 2023
Xiangli Yang
Xinglin Pan
Irwin King
Zenglin Xu
149
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30 Oct 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
Neural Information Processing Systems (NeurIPS), 2023
Muyang Li
Runze Wu
Haoyu Liu
Jun-chen Yu
Xun Yang
Bo Han
Tongliang Liu
227
21
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29 Oct 2023
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
International Conference on Machine Learning (ICML), 2023
Zhiquan Tan
Kaipeng Zheng
Weiran Huang
OT
307
9
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26 Oct 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
Neural Information Processing Systems (NeurIPS), 2023
Zhuo Huang
Li Shen
Jun-chen Yu
Bo Han
Tongliang Liu
FedML
264
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25 Oct 2023
SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Khanh-Binh Nguyen
275
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Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Khanh-Binh Nguyen
170
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ASM: Adaptive Sample Mining for In-The-Wild Facial Expression Recognition
Chinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2023
Ziyang Zhang
Xiao Sun
Liuwei An
Meng Wang
181
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0
09 Oct 2023
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation
Wei Li
Ruifeng Bian
Wenyi Zhao
Weijing Xu
Huihua Yang
351
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08 Oct 2023
Continual Test-time Domain Adaptation via Dynamic Sample Selection
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Yanshuo Wang
Jie Hong
A. Cheraghian
Shafin Rahman
David Ahmedt-Aristizabal
Lars Petersson
Mehrtash Harandi
TTA
220
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05 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning
International Conference on Learning Representations (ICLR), 2023
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
263
18
0
04 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
International Conference on Learning Representations (ICLR), 2023
Hao Chen
Yongfeng Zhang
Ankit Shah
Ran Tao
Jianguo Huang
Berfin cSimcsek
Masashi Sugiyama
Bhiksha Raj
295
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29 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
Asian Conference on Machine Learning (ACML), 2023
Shinýa Yamaguchi
236
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Contrastive Pseudo Learning for Open-World DeepFake Attribution
IEEE International Conference on Computer Vision (ICCV), 2023
Zhimin Sun
Shen Chen
Taiping Yao
Bangjie Yin
Ran Yi
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237
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20 Sep 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size
International Symposium on Information Theory (ISIT), 2023
John Chen
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Anastasios Kyrillidis
187
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Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario
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285
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Pruning the Unlabeled Data to Improve Semi-Supervised Learning
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200
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Semi-Supervised Semantic Segmentation via Marginal Contextual Information
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304
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IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
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Yinghuan Shi
Yang Gao
201
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0
25 Aug 2023
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Hanjing Zhu
Dongji Gao
Gaofeng Cheng
Daniel Povey
Pengyuan Zhang
Yonghong Yan
NoLa
244
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12 Aug 2023
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition
ACM Multimedia (ACM MM), 2023
Jiaxin Ye
Yujie Wei
Xin-Cheng Wen
Chenglong Ma
Zhizhong Huang
Kunhong Liu
Hongming Shan
289
6
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04 Aug 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants
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Yang Xu
Hong-Ze Xu
Liusheng Huang
C. Qiao
FedML
233
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29 Jul 2023
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Rushuang Zhou
Lei Lu
Zijun Liu
Ting Xiang
Zhen Liang
David Clifton
Yining Dong
Yuanyuan Zhang
169
19
0
18 Jun 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
Jifan Zhang
Yifang Chen
Gregory H. Canal
Stephen Mussmann
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Yinglun Zhu
Jeffrey Bilmes
S. Du
Kevin Jamieson
Robert D. Nowak
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451
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PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
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Zhuohao Yu
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Linyi Yang
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Xingxu Xie
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Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
European Conference on Computer Vision (ECCV), 2023
Emanuel Sanchez Aimar
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Marco Kuhlmann
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CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
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Yuqi Yang
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Qibin Hou
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Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
International Journal of Computer Vision (IJCV), 2023
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Yuchao Wang
Yujun Shen
Junsong Fan
Yuxi Wang
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242
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S
2
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2
ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp Segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
An-Chi Wang
Mengya Xu
Yang Zhang
Mobarakol Islam
Hongliang Ren
253
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01 Jun 2023
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
Neural Information Processing Systems (NeurIPS), 2023
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
268
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Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
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Hao Chen
Ankit Shah
Yongfeng Zhang
R. Tao
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Xingxu Xie
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Rita Singh
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284
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Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning
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Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Neural Information Processing Systems (NeurIPS), 2023
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
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Sheng-Jun Huang
275
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Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
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Duowen Chen
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297
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SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao Wang
Yifan Zhang
293
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