MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins

MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins

Computer Vision and Pattern Recognition (CVPR), 2023

17 August 2023

Cornelia Caragea

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Papers citing "MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins"

8 / 8 papers shown

Title
SpikeMatch: Semi-Supervised Learning with Temporal Dynamics of Spiking Neural Networks Jini Yang Beomseok Oh Seungryong Kim S. Kim 93 0 0 26 Sep 2025
Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification Kunlun Xu Fan Zhuo Jiangmeng Li Xu Zou Jiahuan Zhou 183 2 0 02 Jul 2025
CGMatch: A Different Perspective of Semi-supervised LearningComputer Vision and Pattern Recognition (CVPR), 2025 Bo Cheng Jueqing Lu Yuan Tian Haifeng Zhao Yi-Ju Chang Lan Du 217 3 0 04 Mar 2025
Foster Adaptivity and Balance in Learning with Noisy Labels Mengmeng Sheng Zeren Sun Tao Chen Shuchao Pang Yucheng Wang Yazhou Yao 226 11 0 03 Jul 2024
Learning from True-False Labels via Multi-modal Prompt Retrieving Zhongnian Li Jinghao Xu Peng Ying Meng Wei Tongfeng Sun 236 1 0 24 May 2024
Reinforcement Learning-Guided Semi-Supervised LearningNeural Information Processing Systems (NeurIPS), 2024 Marzi Heidari Hanping Zhang Yuhong Guo OffRL 276 4 0 02 May 2024
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection Huafeng Liu Mengmeng Sheng Zeren Sun Yazhou Yao Xian-Sheng Hua Jikang Cheng NoLa 155 16 0 17 Feb 2024
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot LearningIEEE Transactions on Image Processing (IEEE TIP), 2022 Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 378 13 0 14 Jul 2022