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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

International Conference on Software Engineering (ICSE), 2022
7 February 2022
Eliska Kloberdanz
Kyle G. Kloberdanz
Wei Le
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers
Your Compiler is Backdooring Your Model: Understanding and Exploiting Compilation Inconsistency Vulnerabilities in Deep Learning Compilers
Simin Chen
Jinjun Peng
Yixin He
Junfeng Yang
Baishakhi Ray
SILMELM
338
3
0
14 Sep 2025
Grokking at the Edge of Numerical Stability
Grokking at the Edge of Numerical StabilityInternational Conference on Learning Representations (ICLR), 2025
Lucas Prieto
Melih Barsbey
Pedro A.M. Mediano
Tolga Birdal
464
25
0
08 Jan 2025
Reliability Assurance for Deep Neural Network Architectures Against
  Numerical Defects
Reliability Assurance for Deep Neural Network Architectures Against Numerical DefectsInternational Conference on Software Engineering (ICSE), 2023
Linyi Li
Yuhao Zhang
Luyao Ren
Yingfei Xiong
Tao Xie
401
13
0
13 Feb 2023
Numerical Stability of DeepGOPlus Inference
Numerical Stability of DeepGOPlus InferencePLoS ONE (PLoS ONE), 2022
Inés Gonzalez Pepe
Yohan Chatelain
Gregory Kiar
Tristan Glatard
BDL
254
3
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
147
0
0
26 Jul 2022
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