AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation

8 June 2021

Papers citing "AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation"

27 / 27 papers shown

Title
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization Dongkwan Lee Kyomin Hwang Nojun Kwak 101 0 0 18 Mar 2025
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation Jiachen Liang Ruibing Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 36 4 0 31 May 2024
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space Yuexing Han Guanxin Wan Bing Wang 21 5 0 06 Dec 2023
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector Khanh-Binh Nguyen 27 2 0 24 Oct 2023
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Runqi Lin Chaojian Yu Bo Han Tongliang Liu 35 7 0 13 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 38 9 0 04 Oct 2023
Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal Deeptej More Sai Bhargav Dipesh Tamboli Vaneet Aggarwal Biplab Banerjee 29 2 0 22 Sep 2023
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection Yichen Zhang Yifang Yin Ying Zhang Zhenguang Liu Zheng Wang Roger Zimmermann 29 2 0 19 Aug 2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training Zizheng Yan Yushuang Wu Yipeng Qin Xiaoguang Han Shuguang Cui Guanbin Li 39 1 0 07 Jul 2023
Partial Identifiability for Domain Adaptation Lingjing Kong Shaoan Xie Weiran Yao Yujia Zheng Guan-Hong Chen P. Stojanov Victor Akinwande Kun Zhang 51 8 0 10 Jun 2023
Rethinking Semi-supervised Learning with Language Models Zhengxiang Shi Francesco Tonolini Nikolaos Aletras Emine Yilmaz G. Kazai Yunlong Jiao 32 18 0 22 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 37 12 0 22 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 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 36 9 0 27 Mar 2023
Context Normalization Layer with Applications Bilal Faye M. Dilmi Hanene Azzag M. Lebbah D. Bouchaffra 23 0 0 14 Mar 2023
Partial Label Learning for Emotion Recognition from EEG Guangyi Zhang Ali Etemad 49 2 0 25 Feb 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning Hao Chen R. Tao Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Bhiksha Raj Marios Savvides 24 141 0 26 Jan 2023
Dual Moving Average Pseudo-Labeling for Source-Free Inductive Domain Adaptation Hao Yan Yuhong Guo 8 4 0 15 Dec 2022
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 32 12 0 20 Nov 2022
Adaptation of Surgical Activity Recognition Models Across Operating Rooms A. Mottaghi Aidean Sharghi Serena Yeung Omid Mohareri 24 8 0 07 Jul 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 16 31 0 26 Jun 2022
Boosting Cross-Domain Speech Recognition with Self-Supervision Hanjing Zhu Gaofeng Cheng Jindong Wang Wenxin Hou Pengyuan Zhang Yonghong Yan 19 13 0 20 Jun 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 28 272 0 17 Jun 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors Jianfei Yang Xiangyu Peng Kaidi Wang Zheng Hua Zhu Jiashi Feng Lihua Xie Yang You 29 27 0 28 May 2022
Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 25 17 0 24 Feb 2022
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection Ismail Elezi Zhiding Yu Anima Anandkumar Laura Leal-Taixe J. Álvarez ObjD 30 39 0 22 Jun 2021
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 264 1,275 0 06 Mar 2017