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FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

International Conference on Learning Representations (ICLR), 2022

15 May 2022

Hao Chen

Bhiksha Raj

Bernt Schiele

Xing Xie

ArXiv (abs)PDF HTML Github (1470★)

Papers citing "FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning"

19 / 169 papers shown

Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationIEEE Transactions on Medical Imaging (TMI), 2023

263

15 Apr 2023

Exploring the Benefits of Visual Prompting in Differential PrivacyIEEE International Conference on Computer Vision (ICCV), 2023

256

22 Mar 2023

Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2023

Pheng-Ann Heng

376

21 Mar 2023

Boosting Semi-Supervised Learning by Exploiting All Unlabeled DataComputer Vision and Pattern Recognition (CVPR), 2023

Yuhao Chen

Zhaowei Chen

Jiajun Liang

193

20 Mar 2023

Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency

Jae-Kwang Lim

Jongkeun Na

Nojun Kwak

207

15 Mar 2023

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2023

422

14 Mar 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few LabelsNeural Information Processing Systems (NeurIPS), 2023

Jun Zhu

530

21 Feb 2023

Improving Open-Set Semi-Supervised Learning with Self-SupervisionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023

Erik Wallin

Lennart Svensson

Fredrik Kahl

Lars Hammarstrand

389

24 Jan 2023

An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning

Bernt Schiele

Bhiksha Raj

213

20 Nov 2022

SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy LabelsInternational Journal of Computer Vision (IJCV), 2022

266

20 Nov 2022

PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification

199

30 Aug 2022

FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity RecognitionInternational Conference on Computational Linguistics (COLING), 2022

Linyi Yang

Lifan Yuan

Leyang Cui

Wen Gao

Yue Zhang

317

24 Aug 2022

Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2022

Lei Qi

219

382

21 Aug 2022

Exploiting Unlabeled Data for Target-Oriented Opinion Words ExtractionInternational Conference on Computational Linguistics (COLING), 2022

176

17 Aug 2022

$S$^{5}$Mars: Semi-Supervised Learning for Mars Semantic Segmentation$

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Mars: Semi-Supervised Learning for Mars Semantic SegmentationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022

Lilang Lin

332

04 Jul 2022

Harnessing Hard Mixed Samples with Decoupled RegularizerNeural Information Processing Systems (NeurIPS), 2022

Zicheng Liu

Siyuan Li

Ge Wang

Cheng Tan

Lirong Wu

Stan Z. Li

314

21 Mar 2022

Self-Training: A SurveyNeurocomputing (Neurocomputing), 2022

551

151

24 Feb 2022

Probabilistic Contrastive Learning for Domain AdaptationInternational Joint Conference on Artificial Intelligence (IJCAI), 2021

678

11 Nov 2021

One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis

230

09 Dec 2020