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Revisiting Landscape Analysis in Deep Neural Networks: Eliminating
  Decreasing Paths to Infinity

Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity

31 December 2019
Shiyu Liang
Ruoyu Sun
R. Srikant
ArXivPDFHTML

Papers citing "Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity"

4 / 4 papers shown
Title
NTK-SAP: Improving neural network pruning by aligning training dynamics
NTK-SAP: Improving neural network pruning by aligning training dynamics
Yite Wang
Dawei Li
Ruoyu Sun
34
19
0
06 Apr 2023
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work
When Expressivity Meets Trainability: Fewer than nnn Neurons Can Work
Jiawei Zhang
Yushun Zhang
Mingyi Hong
Ruoyu Sun
Zhi-Quan Luo
26
10
0
21 Oct 2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
Tianyi Liu
Yan Li
Enlu Zhou
Tuo Zhao
38
1
0
07 Feb 2022
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
1