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1807.06399
Cited By
Are Efficient Deep Representations Learnable?
17 July 2018
Maxwell Nye
Andrew M. Saxe
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Papers citing
"Are Efficient Deep Representations Learnable?"
9 / 9 papers shown
Title
Do deep neural networks have an inbuilt Occam's razor?
Chris Mingard
Henry Rees
Guillermo Valle Pérez
A. Louis
UQCV
BDL
28
16
0
13 Apr 2023
Training Neural Networks using SAT solvers
Subham S. Sahoo
23
0
0
10 Jun 2022
Overview frequency principle/spectral bias in deep learning
Z. Xu
Tao Luo
Yaoyu Zhang
FaML
35
66
0
19 Jan 2022
Illuminating Diverse Neural Cellular Automata for Level Generation
Sam Earle
J. Snider
Matthew C. Fontaine
Stefanos Nikolaidis
Julian Togelius
56
37
0
12 Sep 2021
It's Hard for Neural Networks To Learn the Game of Life
Jacob Mitchell Springer
Garrett Kenyon
27
21
0
03 Sep 2020
Neural Anisotropy Directions
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
34
16
0
17 Jun 2020
Automatic Driver Identification from In-Vehicle Network Logs
Mina Remeli
Szilvia Lestyán
G. Ács
G. Biczók
27
16
0
25 Oct 2019
How does topology influence gradient propagation and model performance of deep networks with DenseNet-type skip connections?
Kartikeya Bhardwaj
Guihong Li
R. Marculescu
38
1
0
02 Oct 2019
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
Zhi-Qin John Xu
Tao Luo
Yaoyu Zhang
Yan Xiao
Zheng Ma
31
504
0
19 Jan 2019
1