Skip to main navigation
Skip to search
Skip to main content
Ben-Gurion University Research Portal Home
Help & FAQ
Home
Profiles
Research output
Research units
Prizes
Press/Media
Student theses
Projects
Activities
Datasets
Research Labs / Equipment
Search by expertise, name or affiliation
Loss aware post-training quantization
Yury Nahshan
, Brian Chmiel
,
Chaim Baskin
, Evgenii Zheltonozhskii
, Ron Banner
, Alex M. Bronstein
, Avi Mendelson
Research output
:
Contribution to journal
›
Article
›
peer-review
112
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Loss aware post-training quantization'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Accuracy Improvement
25%
INT4
25%
Large Animal Model
25%
Layer Parameters
25%
Loss Landscape
50%
Neural Network Quantization
25%
Non-separable
25%
Post-training Quantization
100%
Quantization Method
75%
Quantization Parameter
25%
Reference Implementation
25%
Resource-constrained Devices
25%
Engineering
Accuracy Improvement
11%
Good Result
11%
Layer Parameter
11%
Quantization (Signal Processing)
100%
Shortfall
11%
Computer Science
Constrained Device
11%
Neural Network
11%
Non-Separable
11%
Quantization (Signal Processing)
100%
Reference Implementation
11%