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. 1910.06893
  4. Cited By
Extracting robust and accurate features via a robust information
  bottleneck

Extracting robust and accurate features via a robust information bottleneck

15 October 2019
Ankit Pensia
Varun Jog
Po-Ling Loh
    AAML
ArXivPDFHTML

Papers citing "Extracting robust and accurate features via a robust information bottleneck"

4 / 4 papers shown
Title
INSURE: An Information Theory Inspired Disentanglement and Purification
  Model for Domain Generalization
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization
Xi Yu
Huan-Hsin Tseng
Shinjae Yoo
Haibin Ling
Yuewei Lin
OOD
29
10
0
08 Sep 2023
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
256
491
0
31 Dec 2020
Learning Certified Individually Fair Representations
Learning Certified Individually Fair Representations
Anian Ruoss
Mislav Balunović
Marc Fischer
Martin Vechev
FaML
15
92
0
24 Feb 2020
CEB Improves Model Robustness
CEB Improves Model Robustness
Ian S. Fischer
Alexander A. Alemi
AAML
19
28
0
13 Feb 2020
1