Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1909.11274
Cited By
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network
25 September 2019
Taiji Suzuki
Hiroshi Abe
Tomoaki Nishimura
AI4CE
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network"
11 / 11 papers shown
Title
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
Arthur Jacot
Seok Hoan Choi
Yuxiao Wen
AI4CE
88
2
0
08 Jul 2024
Generalization Guarantees via Algorithm-dependent Rademacher Complexity
Sarah Sachs
T. Erven
Liam Hodgkinson
Rajiv Khanna
Umut Simsekli
21
3
0
04 Jul 2023
Proximity to Losslessly Compressible Parameters
Matthew Farrugia-Roberts
30
0
0
05 Jun 2023
Generalization Bounds with Data-dependent Fractal Dimensions
Benjamin Dupuis
George Deligiannidis
Umut cSimcsekli
AI4CE
33
12
0
06 Feb 2023
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoileong Lee
Fadhel Ayed
Paul Jung
Juho Lee
Hongseok Yang
François Caron
40
10
0
17 May 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu
Thiago Serra
Srikumar Ramalingam
Shandian Zhe
34
48
0
09 Mar 2022
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Tolga Birdal
Aaron Lou
Leonidas J. Guibas
Umut cSimcsekli
16
60
0
25 Nov 2021
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
A. Camuto
George Deligiannidis
Murat A. Erdogdu
Mert Gurbuzbalaban
Umut cSimcsekli
Lingjiong Zhu
25
29
0
09 Jun 2021
Generalization bounds via distillation
Daniel J. Hsu
Ziwei Ji
Matus Telgarsky
Lan Wang
FedML
13
32
0
12 Apr 2021
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks
A. Yaguchi
Taiji Suzuki
Shuhei Nitta
Y. Sakata
A. Tanizawa
17
9
0
29 Oct 2019
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
119
577
0
27 Feb 2015
1