Deep Learning is Singular, and That's Good

22 October 2020

Papers citing "Deep Learning is Singular, and That's Good"

8 / 8 papers shown

Title
Physics of Skill Learning Ziming Liu Yizhou Liu Eric J. Michaud Jeff Gore Max Tegmark 46 1 0 21 Jan 2025
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory Sumio Watanabe 38 1 0 31 May 2024
The Interpolating Information Criterion for Overparameterized Models Liam Hodgkinson Christopher van der Heide Roberto Salomone Fred Roosta Michael W. Mahoney 20 7 0 15 Jul 2023
Proximity to Losslessly Compressible Parameters Matthew Farrugia-Roberts 30 0 0 05 Jun 2023
Bayesian Free Energy of Deep ReLU Neural Network in Overparametrized Cases Shuya Nagayasu Sumio Watanabe BDL 30 2 0 28 Mar 2023
Recent Advances in Algebraic Geometry and Bayesian Statistics Sumio Watanabe 27 1 0 18 Nov 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 228 4,460 0 23 Jan 2020
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015