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Imitating Deep Learning Dynamics via Locally Elastic Stochastic
  Differential Equations

Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations

11 October 2021
Jiayao Zhang
Hua Wang
Weijie J. Su
ArXivPDFHTML

Papers citing "Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations"

7 / 7 papers shown
Title
When Representations Align: Universality in Representation Learning
  Dynamics
When Representations Align: Universality in Representation Learning Dynamics
Loek van Rossem
Andrew M. Saxe
AI4CE
48
4
0
14 Feb 2024
Neural (Tangent Kernel) Collapse
Neural (Tangent Kernel) Collapse
Mariia Seleznova
Dana Weitzner
Raja Giryes
Gitta Kutyniok
H. Chou
21
6
0
25 May 2023
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained
  Features Model
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model
Peter Súkeník
Marco Mondelli
Christoph H. Lampert
26
21
0
22 May 2023
TiDAL: Learning Training Dynamics for Active Learning
TiDAL: Learning Training Dynamics for Active Learning
Seong Min Kye
Kwanghee Choi
Hyeongmin Byun
Buru Chang
26
13
0
13 Oct 2022
Neural Collapse: A Review on Modelling Principles and Generalization
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
21
71
0
08 Jun 2022
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
122
165
0
29 Jan 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
281
2,888
0
15 Sep 2016
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