Emergence of Invariance and Disentanglement in Deep Representations

Emergence of Invariance and Disentanglement in Deep Representations

5 June 2017

Alessandro Achille

Papers citing "Emergence of Invariance and Disentanglement in Deep Representations"

12 / 112 papers shown

Title
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization Navid Azizan B. Hassibi 24 61 0 04 Jun 2018
Mad Max: Affine Spline Insights into Deep Learning Randall Balestriero Richard Baraniuk AI4CE 31 78 0 17 May 2018
SHADE: Information Based Regularization for Deep Learning Michael Blot Thomas Robert Nicolas Thome Matthieu Cord 32 12 0 29 Apr 2018
Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration Shujian Yu Kristoffer Wickstrøm Robert Jenssen José C. Príncipe 22 73 0 18 Apr 2018
Factorised spatial representation learning: application in semi-supervised myocardial segmentation A. Chartsias T. Joyce G. Papanastasiou S. Semple M. Williams D. Newby R. Dharmakumar Sotirios A. Tsaftaris DRL 51 69 0 19 Mar 2018
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle Rana Ali Amjad Bernhard C. Geiger 35 196 0 27 Feb 2018
A Walk with SGD Chen Xing Devansh Arpit Christos Tsirigotis Yoshua Bengio 27 118 0 24 Feb 2018
i-RevNet: Deep Invertible Networks J. Jacobsen A. Smeulders Edouard Oyallon 49 332 0 20 Feb 2018
The Role of Information Complexity and Randomization in Representation Learning Matías Vera Pablo Piantanida L. Rey Vega 45 14 0 14 Feb 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 61 1,251 0 12 Jan 2018
A3T: Adversarially Augmented Adversarial Training Akram Erraqabi A. Baratin Yoshua Bengio Simon Lacoste-Julien AAML 30 9 0 12 Jan 2018
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 39 80 0 01 Nov 2017