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Noether's Learning Dynamics: Role of Symmetry Breaking in Neural
  Networks

Noether's Learning Dynamics: Role of Symmetry Breaking in Neural Networks

6 May 2021
Hidenori Tanaka
D. Kunin
ArXivPDFHTML

Papers citing "Noether's Learning Dynamics: Role of Symmetry Breaking in Neural Networks"

12 / 12 papers shown
Title
Symmetries, flat minima, and the conserved quantities of gradient flow
Symmetries, flat minima, and the conserved quantities of gradient flow
Bo-Lu Zhao
I. Ganev
Robin G. Walters
Rose Yu
Nima Dehmamy
47
16
0
31 Oct 2022
Toward Equation of Motion for Deep Neural Networks: Continuous-time
  Gradient Descent and Discretization Error Analysis
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
Taiki Miyagawa
39
9
0
28 Oct 2022
Understanding the Generalization Benefit of Normalization Layers:
  Sharpness Reduction
Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction
Kaifeng Lyu
Zhiyuan Li
Sanjeev Arora
FAtt
37
69
0
14 Jun 2022
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers
U(1) Symmetry-breaking Observed in Generic CNN Bottleneck Layers
Louis-Franccois Bouchard
Mohsen Ben Lazreg
Matthew Toews
19
0
0
05 Jun 2022
Stochastic Training is Not Necessary for Generalization
Stochastic Training is Not Necessary for Generalization
Jonas Geiping
Micah Goldblum
Phillip E. Pope
Michael Moeller
Tom Goldstein
86
72
0
29 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,104
0
27 Apr 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
279
0
12 Feb 2021
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning
  Dynamics
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
D. Kunin
Javier Sagastuy-Breña
Surya Ganguli
Daniel L. K. Yamins
Hidenori Tanaka
101
77
0
08 Dec 2020
The large learning rate phase of deep learning: the catapult mechanism
The large learning rate phase of deep learning: the catapult mechanism
Aitor Lewkowycz
Yasaman Bahri
Ethan Dyer
Jascha Narain Sohl-Dickstein
Guy Gur-Ari
ODL
159
234
0
04 Mar 2020
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
2,889
0
15 Sep 2016
Understanding symmetries in deep networks
Understanding symmetries in deep networks
Vijay Badrinarayanan
Bamdev Mishra
R. Cipolla
219
42
0
03 Nov 2015
A Differential Equation for Modeling Nesterov's Accelerated Gradient
  Method: Theory and Insights
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
105
1,152
0
04 Mar 2015
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