ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.00417
  4. Cited By
Semi-supervised Models are Strong Unsupervised Domain Adaptation
  Learners

Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners

1 June 2021
Yabin Zhang
Haojian Zhang
Bin Deng
Shuai Li
K. Jia
Lei Zhang
ArXivPDFHTML

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

3 / 3 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
50
0
0
28 Jan 2025
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
30
14
0
11 Nov 2021
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
230
789
0
26 Aug 2019
1