FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning

25 October 2023

Li Shen

Bo Han

Papers citing "FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning"

21 / 21 papers shown

Title
Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection Huu-Phong Phan-Nguyen Anh Dao T. Nguyen Tuan Quang H. Tran Tinh-Anh Nguyen-Nhu Huy-Thach Pham Quan Nguyen Hoang M. Le Quang-Vinh Dinh 20 0 0 12 Apr 2025
Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning Jiaqi Wu Junbiao Pang Qingming Huang 53 0 0 13 Mar 2025
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model Rundong He Yicong Dong Lanzhe Guo Yilong Yin Tailin Wu 24 0 0 02 Mar 2025
(FL) $^2$ : Overcoming Few Labels in Federated Semi-Supervised Learning Seungjoo Lee Thanh-Long V. Le Jaemin Shin Sung-Ju Lee FedML 18 1 0 30 Oct 2024
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery Yuxun Qu Yongqiang Tang Chenyang Zhang Wensheng Zhang 19 0 0 29 Oct 2024
Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning Jiaqi Wu Junbiao Pang Qingming Huang 16 0 0 08 Aug 2024
STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation Yaqi Wang Yifan Zhang Xiaodiao Chen Shuai Wang Dahong Qian ... Yuanlin Li Bing Wang Chunshi Wang Qiupu Chen Mingqian Li 3DV 27 2 0 18 Jul 2024
Multimodal Classification via Modal-Aware Interactive Enhancement Qing-Yuan Jiang Zhouyang Chi Yang Yang 24 0 0 05 Jul 2024
LayerMatch: Do Pseudo-labels Benefit All Layers? Chaoqi Liang Guanglei Yang Lifeng Qiao Zitong Huang Hongliang Yan Yunchao Wei W. Zuo 30 0 0 20 Jun 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning Kai Gan Tong Wei Min-Ling Zhang 24 1 0 19 Jun 2024
Smooth Pseudo-Labeling Nikolaos Karaliolios Hervé Le Borgne Florian Chabot 16 0 0 23 May 2024
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization Zhuo Huang Muyang Li Li Shen Jun-chen Yu Chen Gong Bo Han Tongliang Liu OOD 30 8 0 25 Oct 2023
Out-of-distribution Detection with Implicit Outlier Transformation Qizhou Wang Junjie Ye Feng Liu Quanyu Dai Marcus Kalander Tongliang Liu Jianye Hao Bo Han OODD 128 45 0 09 Mar 2023
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning Yidong Wang Hao Chen Qiang Heng Wenxin Hou Yue Fan ... Marios Savvides T. Shinozaki Bhiksha Raj Bernt Schiele Xing Xie 170 251 0 15 May 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 201 848 0 15 Oct 2021
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks Jiawei Du Hanshu Yan Jiashi Feng Joey Tianyi Zhou Liangli Zhen Rick Siow Mong Goh Vincent Y. F. Tan AAML 99 132 0 07 Oct 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 213 338 0 17 Feb 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 197 501 0 15 Jan 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 245 648 0 23 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,696 0 15 Sep 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014