No Wrong Turns: The Simple Geometry Of Neural Networks Optimization
Paths

No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths

20 June 2023

Charles Guille-Escuret

Hiroki Naganuma

Ioannis Mitliagkas

Papers citing "No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths"

4 / 4 papers shown

Title
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes James Lucas Juhan Bae Michael Ruogu Zhang Stanislav Fort R. Zemel Roger C. Grosse MoMe 154 28 0 22 Apr 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,199 0 16 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 101 570 0 08 Dec 2012