On minimal representations of shallow ReLU networks

12 August 2021

Papers citing "On minimal representations of shallow ReLU networks"

7 / 7 papers shown

Title
Stochastic gradient descent with noise of machine learning type. Part II: Continuous time analysis Stephan Wojtowytsch 63 34 0 04 Jun 2021
Central limit theorems for stochastic gradient descent with averaging for stable manifolds Steffen Dereich Sebastian Kassing 87 12 0 19 Dec 2019
Convergence rates for the stochastic gradient descent method for non-convex objective functions Benjamin J. Fehrman Benjamin Gess Arnulf Jentzen 66 101 0 02 Apr 2019
Reducing Parameter Space for Neural Network Training Tong Qin Ling Zhou D. Xiu 28 6 0 22 May 2018
The loss landscape of overparameterized neural networks Y. Cooper 43 75 0 26 Apr 2018
Universal Function Approximation by Deep Neural Nets with Bounded Width and ReLU Activations Boris Hanin 57 354 0 09 Aug 2017
Understanding Deep Neural Networks with Rectified Linear Units R. Arora A. Basu Poorya Mianjy Anirbit Mukherjee PINN 143 640 0 04 Nov 2016