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Symmetry Breaking in Neural Network Optimization: Insights from Input
  Dimension Expansion

Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion

10 September 2024
Jun-Jie Zhang
Nan Cheng
Fu-Peng Li
Xiu-Cheng Wang
Jian-Nan Chen
Long-Gang Pang
Deyu Meng
ArXivPDFHTML

Papers citing "Symmetry Breaking in Neural Network Optimization: Insights from Input Dimension Expansion"

4 / 4 papers shown
Title
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
251
3,684
0
28 Feb 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
258
36,371
0
25 Aug 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
294
75,834
0
18 May 2015
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
179
1,185
0
30 Nov 2014
1