Information in Infinite Ensembles of Infinitely-Wide Neural Networks

20 November 2019

Papers citing "Information in Infinite Ensembles of Infinitely-Wide Neural Networks"

7 / 7 papers shown

Title
Reverse Engineering Self-Supervised Learning Ido Ben-Shaul Ravid Shwartz-Ziv Tomer Galanti S. Dekel Yann LeCun SSL 15 34 0 24 May 2023
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling Jiri Hron Roman Novak Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 42 6 0 15 Jun 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 36 124 0 11 Apr 2022
Estimating informativeness of samples with Smooth Unique Information Hrayr Harutyunyan Alessandro Achille Giovanni Paolini Orchid Majumder Avinash Ravichandran Rahul Bhotika Stefano Soatto 16 24 0 17 Jan 2021
Whitening and second order optimization both make information in the dataset unusable during training, and can reduce or prevent generalization Neha S. Wadia Daniel Duckworth S. Schoenholz Ethan Dyer Jascha Narain Sohl-Dickstein 19 13 0 17 Aug 2020
On Information Plane Analyses of Neural Network Classifiers -- A Review Bernhard C. Geiger 24 50 0 21 Mar 2020
On the infinite width limit of neural networks with a standard parameterization Jascha Narain Sohl-Dickstein Roman Novak S. Schoenholz Jaehoon Lee 19 47 0 21 Jan 2020