ResearchTrend.AI
Compressibility Loss for Neural Network Weights

Compressibility Loss for Neural Network Weights

Çağlar Aytekin
Francesco Cricri
Emre B. Aksu
ArXiv (abs)PDFHTML

Papers citing "Compressibility Loss for Neural Network Weights"

6 / 6 papers shown
Title
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
Yijun Wan
Melih Barsbey
Milad Sefidgaran
Umut Simsekli
70
1
0
13 Jun 2023
Proximity to Losslessly Compressible Parameters
Proximity to Losslessly Compressible Parameters
Matthew Farrugia-Roberts
51
0
0
05 Jun 2023
Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance
Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance
Ian Colbert
Alessandro Pappalardo
Jakoba Petri-Koenig
MQ
31
4
0
31 Jan 2023
CAT: Compression-Aware Training for bandwidth reduction
CAT: Compression-Aware Training for bandwidth reduction
Chaim Baskin
Brian Chmiel
Evgenii Zheltonozhskii
Ron Banner
A. Bronstein
A. Mendelson
MQ
67
12
0
25 Sep 2019
A Compression Objective and a Cycle Loss for Neural Image Compression
A Compression Objective and a Cycle Loss for Neural Image Compression
Çağlar Aytekin
Francesco Cricri
A. Hallapuro
J. Lainema
Emre B. Aksu
M. Hannuksela
35
9
0
24 May 2019
Compressing Weight-updates for Image Artifacts Removal Neural Networks
Compressing Weight-updates for Image Artifacts Removal Neural Networks
Y. Lam
Alireza Zare
Çağlar Aytekin
Francesco Cricri
J. Lainema
Emre B. Aksu
M. Hannuksela
68
16
0
10 May 2019

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.