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Mathematical Challenges in Deep Learning

Mathematical Challenges in Deep Learning

24 March 2023
V. Nia
Guojun Zhang
I. Kobyzev
Michael R. Metel
Xinlin Li
Ke Sun
S. Hemati
M. Asgharian
Linglong Kong
Wulong Liu
Boxing Chen
    AI4CE
    VLM
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Papers citing "Mathematical Challenges in Deep Learning"

5 / 5 papers shown
Title
On the Convergence of Stochastic Gradient Descent in Low-precision
  Number Formats
On the Convergence of Stochastic Gradient Descent in Low-precision Number Formats
M. Cacciola
A. Frangioni
M. Asgharian
Alireza Ghaffari
V. Nia
32
4
0
04 Jan 2023
Why neural networks find simple solutions: the many regularizers of
  geometric complexity
Why neural networks find simple solutions: the many regularizers of geometric complexity
Benoit Dherin
Michael Munn
M. Rosca
David Barrett
53
30
0
27 Sep 2022
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
180
256
0
18 Apr 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
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