Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data

20 March 2023

Yuhao Chen

Zhaowei Chen

Jiajun Liang

Papers citing "Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data"

20 / 20 papers shown

Title
FATE: A Prompt-Tuning-Based Semi-Supervised Learning Framework for Extremely Limited Labeled Data Hezhao Liu Yang Lu Mengke Li Yiqun Zhang Shreyank N Gowda Chen Gong Hanzi Wang 34 0 0 14 Apr 2025
Feature Modulation for Semi-Supervised Domain Generalization without Domain Labels Venuri Amarasinghe Asini Jayakody Isun Randila Kalinga Bandara Chamuditha Jayanga Galappaththige Ranga Rodrigo 48 0 0 26 Mar 2025
MOS: Modeling Object-Scene Associations in Generalized Category Discovery Zhengyuan Peng Jinpeng Ma Zhimin Sun Ran Yi Haichuan Song Xin Tan Lizhuang Ma 56 0 0 15 Mar 2025
CGMatch: A Different Perspective of Semi-supervised Learning Bo Cheng Jueqing Lu Yuan Tian Haifeng Zhao Yi-Ju Chang Lan Du 43 0 0 04 Mar 2025
Semi-Supervised Audio-Visual Video Action Recognition with Audio Source Localization Guided Mixup Seokun Kang Taehwan Kim 42 0 0 04 Mar 2025
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data Sneha Paul Zachary Patterson Nizar Bouguila 29 0 0 21 Sep 2024
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data Junha Song Tae Soo Kim Junha Kim Gunhee Nam Thijs Kooi Jaegul Choo 50 1 0 22 Jul 2024
Foster Adaptivity and Balance in Learning with Noisy Labels Mengmeng Sheng Zeren Sun Tao Chen Shuchao Pang Yucheng Wang Yazhou Yao 34 2 0 03 Jul 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning Zhiyu Wu Jinshi Cui 41 2 0 22 Jun 2024
Smooth Pseudo-Labeling Nikolaos Karaliolios Hervé Le Borgne Florian Chabot 34 0 0 23 May 2024
Analyzing Decades-Long Environmental Changes in Namibia Using Archival Aerial Photography and Deep Learning G. Tadesse Caleb Robinson G. Q. Hacheme Akram Zaytar Rahul Dodhia Tsering Wangyal Shawa J. L. Ferres Emmanuel H. Kreike 41 0 0 12 Apr 2024
Semi-Supervised Unconstrained Head Pose Estimation in the Wild Huayi Zhou Fei Jiang Hongtao Lu Yong Rui Hongtao Lu Kui Jia 58 0 0 03 Apr 2024
OTMatch: Improving Semi-Supervised Learning with Optimal Transport Zhiquan Tan Kaipeng Zheng Weiran Huang OT 38 8 0 26 Oct 2023
Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images Ruixiang Zhang Chang Xu Fang Xu Wen Yang Guangjun He Huai Yu Gui-Song Xia 49 2 0 23 Oct 2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You Yong Zhong Fan Bao Jiacheng Sun Chongxuan Li Jun Zhu DiffM VLM 206 36 0 21 Feb 2023
NP-Match: When Neural Processes meet Semi-Supervised Learning Jianfeng Wang Thomas Lukasiewicz Daniela Massiceti Xiaolin Hu Vladimir Pavlovic A. Neophytou BDL 65 41 0 03 Jul 2022
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 185 258 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 252 862 0 15 Oct 2021
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning Byoungjip Kim Jinho Choo Yeong-Dae Kwon Seongho Joe Seungjai Min Youngjune Gwon SSL 33 52 0 16 Jan 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 238 509 0 15 Jan 2021