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DeepStability: A Study of Unstable Numerical Methods and Their Solutions
  in Deep Learning

DeepStability: A Study of Unstable Numerical Methods and Their Solutions in Deep Learning

7 February 2022
Eliska Kloberdanz
Kyle G. Kloberdanz
Wei Le
ArXivPDFHTML

Papers citing "DeepStability: A Study of Unstable Numerical Methods and Their Solutions in Deep Learning"

6 / 6 papers shown
Title
Safe Automated Refactoring for Efficient Migration of Imperative Deep Learning Programs to Graph Execution
Safe Automated Refactoring for Efficient Migration of Imperative Deep Learning Programs to Graph Execution
Raffi Khatchadourian
Tatiana Castro Vélez
M. Bagherzadeh
Nan Jia
A. Raja
29
0
0
07 Apr 2025
Grokking at the Edge of Numerical Stability
Grokking at the Edge of Numerical Stability
Lucas Prieto
Melih Barsbey
Pedro A.M. Mediano
Tolga Birdal
40
3
0
08 Jan 2025
MixQuant: Mixed Precision Quantization with a Bit-width Optimization
  Search
MixQuant: Mixed Precision Quantization with a Bit-width Optimization Search
Yichen Xie
Wei Le
MQ
16
4
0
29 Sep 2023
Reliability Assurance for Deep Neural Network Architectures Against
  Numerical Defects
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects
Linyi Li
Yuhao Zhang
Luyao Ren
Yingfei Xiong
Tao Xie
22
7
0
13 Feb 2023
Numerical Stability of DeepGOPlus Inference
Numerical Stability of DeepGOPlus Inference
Inés Gonzalez Pepe
Yohan Chatelain
Gregory Kiar
Tristan Glatard
BDL
19
2
0
13 Dec 2022
A Retrospective on ICSE 2022
A Retrospective on ICSE 2022
Cailin Winston
Caleb Winston
Chloe N. Winston
Claris Winston
Cleah Winston
19
0
0
26 Jul 2022
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