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. 2107.03919
  4. Cited By
Understanding the Limits of Unsupervised Domain Adaptation via Data
  Poisoning

Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning

8 July 2021
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
    AAML
ArXivPDFHTML

Papers citing "Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning"

2 / 2 papers shown
Title
Connecting sufficient conditions for domain adaptation: source-guided
  uncertainty, relaxed divergences and discrepancy localization
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization
Sofien Dhouib
S. Maghsudi
28
2
0
09 Mar 2022
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
789
0
19 Feb 2009
1