Extracting robust and accurate features via a robust information bottleneck

15 October 2019

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

6 / 6 papers shown

Title
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks Weiqin Chuah Ruwan Tennakoon R. Hoseinnezhad A. Bab-Hadiashar David Suter OOD 108 41 0 06 Jan 2022
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization Sicheng Zhu Xiao Zhang David Evans SSL OOD 87 27 0 26 Feb 2020
Learning Certified Individually Fair Representations Anian Ruoss Mislav Balunović Marc Fischer Martin Vechev FaML 64 96 0 24 Feb 2020
CEB Improves Model Robustness Ian S. Fischer Alexander A. Alemi AAML 134 30 0 13 Feb 2020
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views Milad Sefidgaran Iñaki Estella Aguerri S. Shamai 58 90 0 31 Jan 2020
Guess First to Enable Better Compression and Adversarial Robustness Sicheng Zhu Bang An Shiyu Niu AAML 27 0 0 10 Jan 2020