Caveats for information bottleneck in deterministic scenarios

23 August 2018

Papers citing "Caveats for information bottleneck in deterministic scenarios"

21 / 21 papers shown

Title
Generalization Guarantees for Representation Learning via Data-Dependent Gaussian Mixture Priors Romain Chor Milad Sefidgaran Piotr Krasnowski 226 2 0 21 Feb 2025
An Information Criterion for Controlled Disentanglement of Multimodal Data Chenyu Wang Sharut Gupta Xinyi Zhang Sana Tonekaboni Stefanie Jegelka Tommi Jaakkola Caroline Uhler DRL 68 2 0 31 Oct 2024
Estimating Information Flow in Deep Neural Networks Ziv Goldfeld E. Berg Kristjan Greenewald Igor Melnyk Nam H. Nguyen Brian Kingsbury Yury Polyanskiy 50 32 0 12 Oct 2018
Uncertainty in the Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon 49 98 0 02 Jul 2018
Entropy and mutual information in models of deep neural networks Marylou Gabrié Andre Manoel Clément Luneau Jean Barbier N. Macris Florent Krzakala Lenka Zdeborová 61 180 0 24 May 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 49 181 0 28 Feb 2018
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle Rana Ali Amjad Bernhard C. Geiger 62 196 0 27 Feb 2018
The Role of Information Complexity and Randomization in Representation Learning Matías Vera Pablo Piantanida L. Rey Vega 69 14 0 14 Feb 2018
Estimating Mixture Entropy with Pairwise Distances Artemy Kolchinsky Brendan D. Tracey OT 28 130 0 08 Jun 2017
Nonlinear Information Bottleneck Artemy Kolchinsky Brendan D. Tracey David Wolpert 55 156 0 06 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
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 328 4,624 0 10 Nov 2016
Information Dropout: Learning Optimal Representations Through Noisy Computation Alessandro Achille Stefano Soatto OOD DRL SSL 57 401 0 04 Nov 2016
Relevant sparse codes with variational information bottleneck M. Chalk O. Marre G. Tkačik 93 87 0 24 May 2016
The deterministic information bottleneck D. Strouse D. Schwab 37 135 0 01 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 838 27,303 0 02 Dec 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 179 1,582 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 422 43,635 0 17 Sep 2014