Sparsifying Bayesian neural networks with latent binary variables and
normalizing flows

Sparsifying Bayesian neural networks with latent binary variables and normalizing flows

5 May 2023

Lars Skaaret-Lund

Papers citing "Sparsifying Bayesian neural networks with latent binary variables and normalizing flows"

18 / 18 papers shown

Title
Position: Why We Must Rethink Empirical Research in Machine Learning Moritz Herrmann F. J. D. Lange Katharina Eggensperger Giuseppe Casalicchio Marcel Wever Matthias Feurer David Rügamer Eyke Hüllermeier A. Boulesteix Bernd Bischl 71 7 0 03 May 2024
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 102 128 0 14 May 2021
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient Ankit Pensia Shashank Rajput Alliot Nagle Harit Vishwakarma Dimitris Papailiopoulos 50 103 0 14 Jun 2020
Rigging the Lottery: Making All Tickets Winners Utku Evci Trevor Gale Jacob Menick Pablo Samuel Castro Erich Elsen 162 600 0 25 Nov 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 125 758 0 25 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks Asifullah Khan A. Sohail Umme Zahoora Aqsa Saeed Qureshi OOD 93 2,291 0 17 Jan 2019
Posterior Concentration for Sparse Deep Learning Nicholas G. Polson Veronika Rockova UQCV BDL 156 88 0 24 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 200 3,457 0 09 Mar 2018
Variational Gaussian Dropout is not Bayesian Jiri Hron A. G. Matthews Zoubin Ghahramani 45 47 0 08 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 242 8,856 0 25 Aug 2017
Recent Trends in Deep Learning Based Natural Language Processing Tom Young Devamanyu Hazarika Soujanya Poria Min Zhang 71 2,834 0 09 Aug 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 139 479 0 24 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 149 1,530 0 25 Jan 2017
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 115 827 0 19 Jan 2017
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 227 4,778 0 04 Jan 2016
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 198 1,510 0 08 Jun 2015
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 235 14,893 1 21 Dec 2013
A Plea for Neutral Comparison Studies in Computational Sciences A. Boulesteix M. Eugster 79 121 0 13 Aug 2012