Semi-supervised Models are Strong Unsupervised Domain Adaptation
Learners

Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners

1 June 2021

Shuai Li

Lei Zhang

Papers citing "Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners"

5 / 5 papers shown

Title
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? Utku Ozbulak Esla Timothy Anzaku Solha Kang W. D. Neve J. Vankerschaver 52 0 0 28 Jan 2025
Domain Adaptation with Adversarial Training on Penultimate Activations Tao Sun Cheng Lu Haibin Ling 24 15 0 26 Aug 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 14 31 0 26 Jun 2022
Probabilistic Contrastive Learning for Domain Adaptation Junjie Li Yixin Zhang Zilei Wang Saihui Hou Keyu Tu Man Zhang 36 14 0 11 Nov 2021
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 233 789 0 26 Aug 2019