Low-loss connection of weight vectors: distribution-based approaches

3 August 2020

Papers citing "Low-loss connection of weight vectors: distribution-based approaches"

9 / 9 papers shown

Title
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets Rohith Kuditipudi Xiang Wang Holden Lee Yi Zhang Zhiyuan Li Wei Hu Sanjeev Arora Rong Ge FAtt 113 93 0 14 Jun 2019
Mean Field Analysis of Neural Networks: A Central Limit Theorem Justin A. Sirignano K. Spiliopoulos MLT 89 194 0 28 Aug 2018
A Mean Field View of the Landscape of Two-Layers Neural Networks Song Mei Andrea Montanari Phan-Minh Nguyen MLT 109 863 0 18 Apr 2018
Comparing Dynamics: Deep Neural Networks versus Glassy Systems Marco Baity-Jesi Levent Sagun Mario Geiger S. Spigler Gerard Ben Arous C. Cammarota Yann LeCun Matthieu Wyart Giulio Biroli AI4CE 112 115 0 19 Mar 2018
Averaging Weights Leads to Wider Optima and Better Generalization Pavel Izmailov Dmitrii Podoprikhin T. Garipov Dmitry Vetrov A. Wilson FedML MoMe 145 1,673 0 14 Mar 2018
Essentially No Barriers in Neural Network Energy Landscape Felix Dräxler K. Veschgini M. Salmhofer Fred Hamprecht MoMe 125 435 0 02 Mar 2018
Snapshot Ensembles: Train 1, get M for free Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu John E. Hopcroft Kilian Q. Weinberger OOD FedML UQCV 147 953 0 01 Apr 2017
Topology and Geometry of Half-Rectified Network Optimization C. Freeman Joan Bruna 233 235 0 04 Nov 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,722 0 26 May 2016