Elastic Information Bottleneck

7 November 2023

Papers citing "Elastic Information Bottleneck"

21 / 21 papers shown

Title
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning Romain Chor Abdellatif Zaidi Milad Sefidgaran FedML 66 15 0 06 Jun 2022
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms Romain Chor A. Gohari Gaël Richard Umut Simsekli 58 24 0 04 Mar 2022
PAC-Bayes Information Bottleneck Zifeng Wang Shao-Lun Huang E. Kuruoglu Jimeng Sun Xi Chen Yefeng Zheng 40 35 0 29 Sep 2021
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 137 235 0 24 Oct 2020
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective Wei Ping Shuohang Wang Yu Cheng Zhe Gan R. Jia Yue Liu Jingjing Liu AAML 165 116 0 05 Oct 2020
Learning Optimal Representations with the Decodable Information Bottleneck Yann Dubois Douwe Kiela D. Schwab Ramakrishna Vedantam 54 43 0 27 Sep 2020
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment Jing Wang Jiahong Chen Jianzhe Lin Leonid Sigal C. D. Silva 54 53 0 23 Jun 2020
The Information Bottleneck Problem and Its Applications in Machine Learning Ziv Goldfeld Yury Polyanskiy 51 133 0 30 Apr 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 96 118 0 13 Feb 2020
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views Milad Sefidgaran Iñaki Estella Aguerri S. Shamai 33 90 0 31 Jan 2020
On Learning Invariant Representation for Domain Adaptation Haiying Zhao Rémi Tachet des Combes Kun Zhang Geoffrey J. Gordon OOD 63 157 0 27 Jan 2019
Caveats for information bottleneck in deterministic scenarios Artemy Kolchinsky Brendan D. Tracey S. Kuyk 66 82 0 23 Aug 2018
Distributed Variational Representation Learning Iñaki Estella Aguerri Milad Sefidgaran 45 72 0 11 Jul 2018
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 143 445 0 22 May 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 98 1,407 0 02 Mar 2017
Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 98 1,714 0 01 Dec 2016
Information Dropout: Learning Optimal Representations Through Noisy Computation Alessandro Achille Stefano Soatto OOD DRL SSL 55 401 0 04 Nov 2016
The deterministic information bottleneck D. Strouse D. Schwab 35 135 0 01 Apr 2016
How much does your data exploration overfit? Controlling bias via information usage D. Russo James Zou 47 191 0 16 Nov 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 163 1,580 0 09 Mar 2015
Multivariate Information Bottleneck N. Friedman Ori Mosenzon Noam Slonim Naftali Tishby 66 221 0 10 Jan 2013