Opening the Black Box of Deep Neural Networks via Information

2 March 2017

Papers citing "Opening the Black Box of Deep Neural Networks via Information"

36 / 186 papers shown

Title
Excessive Invariance Causes Adversarial Vulnerability J. Jacobsen Jens Behrmann R. Zemel Matthias Bethge AAML 20 166 0 01 Nov 2018
The Variational Deficiency Bottleneck P. Banerjee Guido Montúfar 11 7 0 27 Oct 2018
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning Charles H. Martin Michael W. Mahoney AI4CE 30 190 0 02 Oct 2018
GANs for Medical Image Analysis Salome Kazeminia Christoph Baur Arjan Kuijper Bram van Ginneken Nassir Navab Shadi Albarqouni Anirban Mukhopadhyay MedIm AI4CE 18 408 0 13 Sep 2018
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks Ramin M. Hasani Alexander Amini Mathias Lechner Felix Naser Radu Grosu Daniela Rus 28 25 0 11 Sep 2018
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy Chuhan Min Aosen Wang Yiran Chen Wenyao Xu Xin Chen 22 41 0 06 Sep 2018
Generalization Error in Deep Learning Daniel Jakubovitz Raja Giryes M. Rodrigues AI4CE 21 109 0 03 Aug 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Philip H. S. Torr AAML 13 70 0 11 Jul 2018
Visualizing and Understanding Deep Neural Networks in CTR Prediction Lin Guo Hui Ye Wenbo Su He Liu Kai Sun Hang Xiang FAtt HAI 8 7 0 22 Jun 2018
Dimensionality-Driven Learning with Noisy Labels Xingjun Ma Yisen Wang Michael E. Houle Shuo Zhou S. Erfani Shutao Xia S. Wijewickrema James Bailey NoLa 21 425 0 07 Jun 2018
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization Navid Azizan B. Hassibi 13 61 0 04 Jun 2018
A Neurobiological Evaluation Metric for Neural Network Model Search Nathaniel Blanchard Jeffery Kinnison Brandon RichardWebster P. Bashivan Walter J. Scheirer 19 12 0 28 May 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 30 178 0 24 May 2018
On the importance of single directions for generalization Ari S. Morcos David Barrett Neil C. Rabinowitz M. Botvinick 13 328 0 19 Mar 2018
Contrasting information theoretic decompositions of modulatory and arithmetic interactions in neural information processing systems J. Kay W. A. Phillips 11 7 0 15 Mar 2018
Deep Dictionary Learning: A PARametric NETwork Approach Shahin Mahdizadehaghdam Ashkan Panahi Hamid Krim Liyi Dai 24 63 0 11 Mar 2018
Bioinformatics and Medicine in the Era of Deep Learning D. Bacciu P. Lisboa José D. Martín R. Stoean A. Vellido AI4CE BDL 33 17 0 27 Feb 2018
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle Rana Ali Amjad Bernhard C. Geiger 29 195 0 27 Feb 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos D. Song 51 1,111 0 22 Feb 2018
i-RevNet: Deep Invertible Networks J. Jacobsen A. Smeulders Edouard Oyallon 21 331 0 20 Feb 2018
The Description Length of Deep Learning Models Léonard Blier Yann Ollivier 24 95 0 20 Feb 2018
The Role of Information Complexity and Randomization in Representation Learning Matías Vera Pablo Piantanida L. Rey Vega 35 14 0 14 Feb 2018
Generalization of an Upper Bound on the Number of Nodes Needed to Achieve Linear Separability Marjolein Troost K. Seeliger Marcel van Gerven 13 1 0 10 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 24 51 0 02 Feb 2018
ReNN: Rule-embedded Neural Networks Hu Wang AI4TS 15 15 0 30 Jan 2018
Automated Pruning for Deep Neural Network Compression Franco Manessi A. Rozza Simone Bianco Paolo Napoletano Raimondo Schettini 34 56 0 05 Dec 2017
Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems Adam Kortylewski Bernhard Egger Andreas C. Schneider Thomas Gerig Andreas Morel-Forster T. Vetter CVBM 14 71 0 05 Dec 2017
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations M. Raissi P. Perdikaris George Karniadakis PINN AI4CE 22 607 0 28 Nov 2017
Invariance of Weight Distributions in Rectified MLPs Russell Tsuchida Farbod Roosta-Khorasani M. Gallagher MLT 24 35 0 24 Nov 2017
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 34 80 0 01 Nov 2017
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior Charles H. Martin Michael W. Mahoney AI4CE 22 62 0 26 Oct 2017
Function space analysis of deep learning representation layers Oren Elisha S. Dekel 27 4 0 09 Oct 2017
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models Jean Barbier Florent Krzakala N. Macris Léo Miolane Lenka Zdeborová 23 258 0 10 Aug 2017
Nonlinear Information Bottleneck Artemy Kolchinsky Brendan D. Tracey David Wolpert 12 152 0 06 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012