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. 2012.04280
  4. Cited By
Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain
  Adaptation using Structurally Regularized Deep Clustering

Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering

8 December 2020
Hui Tang
Xiatian Zhu
Ke Chen
K. Jia
C. L. Philip Chen
ArXivPDFHTML

Papers citing "Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering"

2 / 2 papers shown
Title
Generalized Label Shift Correction via Minimum Uncertainty Principle:
  Theory and Algorithm
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm
You-Wei Luo
Chuan-Xian Ren
25
2
0
26 Feb 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