SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

26 January 2023

Hao Chen

Bernt Schiele

Bhiksha Raj

Papers citing "SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning"

33 / 83 papers shown

Title
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection Huafeng Liu Mengmeng Sheng Zeren Sun Yazhou Yao Xian-Sheng Hua H. Shen NoLa 11 6 0 17 Feb 2024
A General Framework for Learning from Weak Supervision Hao Chen Jindong Wang Lei Feng Xiang Li Yidong Wang Xing Xie Masashi Sugiyama Rita Singh Bhiksha Raj 11 1 0 02 Feb 2024
UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled, and Small Expert-Labeled Tweets for Foodborne Illness Detection Ruofan Hu Dongyu Zhang Dandan Tao Huayi Zhang Hao Feng Elke A. Rundensteiner FedML 8 4 0 02 Dec 2023
Self-Evolving Neural Radiance Fields Jaewoo Jung Jisang Han Jiwon Kang Seongchan Kim Minseop Kwak Seungryong Kim 15 0 0 02 Dec 2023
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation Qingjie Zeng Yutong Xie Zilin Lu Mengkang Lu Yicheng Wu Yong-quan Xia 22 3 0 20 Nov 2023
FireMatch: A Semi-Supervised Video Fire Detection Network Based on Consistency and Distribution Alignment Qinghua Lin Zuoyong Li Kun Zeng Haoyi Fan Wei Li Xiaoguang Zhou 10 7 0 09 Nov 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds Muyang Li Runze Wu Haoyu Liu Jun-chen Yu Xun Yang Bo Han Tongliang Liu 21 16 0 29 Oct 2023
OTMatch: Improving Semi-Supervised Learning with Optimal Transport Zhiquan Tan Kaipeng Zheng Weiran Huang OT 25 8 0 26 Oct 2023
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 21 20 0 25 Oct 2023
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector Khanh-Binh Nguyen 12 2 0 24 Oct 2023
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection Zehao Wang Yiwen Guo Qizhang Li Guanglei Yang Wangmeng Zuo 8 0 0 12 Oct 2023
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation Wei Li Ruifeng Bian Wenyi Zhao Weijing Xu Huihua Yang 8 0 0 08 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning Siyuan Li Weiyang Jin Zedong Wang Fang Wu Zicheng Liu Cheng Tan Stan Z. Li 17 9 0 04 Oct 2023
Pruning the Unlabeled Data to Improve Semi-Supervised Learning Guy Hacohen D. Weinshall SSL 6 1 0 27 Aug 2023
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition Weishan Ye Zhiguo Zhang Min Zhang Fei Teng Li Zhang Linling Li G. Huang Jianhong Wang Dong Ni Zhen Liang 11 6 0 13 Aug 2023
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models Xin Li Sima Behpour T. Doan Wenbin He Liangke Gou Liu Ren VLM 16 3 0 20 Jul 2023
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study Rushuang Zhou Lei Lu Zijun Liu Ting Xiang Zhen Liang David A. Clifton Yining Dong Yuanyuan Zhang 27 10 0 18 Jun 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang Yifang Chen Gregory H. Canal Stephen Mussmann Arnav M. Das ... Yinglun Zhu Jeffrey Bilmes S. Du Kevin G. Jamieson Robert D. Nowak VLM 25 10 0 16 Jun 2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization Yidong Wang Zhuohao Yu Zhengran Zeng Linyi Yang Cunxiang Wang ... Jindong Wang Xingxu Xie Wei Ye Shi-Bo Zhang Yue Zhang ALM ELM 35 222 0 08 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration Emanuel Sanchez Aimar Hannah Helgesen Yonghao Xu Marco Kuhlmann M. Felsberg 15 0 0 07 Jun 2023
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation Liyao Tang Zhe Chen Shanshan Zhao Chaoyue Wang Dacheng Tao 17 12 0 25 May 2023
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 8 12 0 22 May 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 19 4 0 04 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning Zhi-Hao Tan Zihao W. Wang Yifan Zhang 35 6 0 26 Apr 2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition Rushuang Zhou Weishan Ye Zhiguo Zhang Yanyang Luo Li Zhang Linling Li G. Huang Yining Dong Yuan Zhang Zhen Liang 11 9 0 27 Mar 2023
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 11 12 0 20 Nov 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer Zicheng Liu Siyuan Li Ge Wang Cheng Tan Lirong Wu Stan Z. Li 39 17 0 21 Mar 2022
Self-Training: A Survey Massih-Reza Amini Vasilii Feofanov Loïc Pauletto Lies Hadjadj Emilie Devijver Yury Maximov SSL 8 100 0 24 Feb 2022
Probabilistic Contrastive Learning for Domain Adaptation Junjie Li Yixin Zhang Zilei Wang Saihui Hou Keyu Tu Man Zhang 25 13 0 11 Nov 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 207 848 0 15 Oct 2021
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training Kai Sheng Tai Peter Bailis Gregory Valiant OT 32 43 0 17 Feb 2021
One-Vote Veto: Semi-Supervised Learning for Low-Shot Glaucoma Diagnosis Rui Fan C. Bowd Nicole Brye Mark Christopher R. Weinreb D. Kriegman L. Zangwill 17 9 0 09 Dec 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 245 648 0 23 Mar 2020