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The Training Process of Many Deep Networks Explores the Same
  Low-Dimensional Manifold

The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold

2 May 2023
J. Mao
Itay Griniasty
H. Teoh
Rahul Ramesh
Rubing Yang
M. Transtrum
J. Sethna
Pratik Chaudhari
    3DPC
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Papers citing "The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold"

4 / 4 papers shown
Title
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Density estimation with LLMs: a geometric investigation of in-context learning trajectories
Toni J. B. Liu
Nicolas Boullé
Raphael Sarfati
Christopher Earls
20
0
0
07 Oct 2024
Many Perception Tasks are Highly Redundant Functions of their Input Data
Many Perception Tasks are Highly Redundant Functions of their Input Data
Rahul Ramesh
Anthony Bisulco
Ronald W. DiTullio
Linran Wei
Vijay Balasubramanian
Kostas Daniilidis
Pratik Chaudhari
31
1
0
18 Jul 2024
Patches Are All You Need?
Patches Are All You Need?
Asher Trockman
J. Zico Kolter
ViT
212
395
0
24 Jan 2022
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
204
1,275
0
04 Dec 2018
1