Exploring the complexity of deep neural networks through functional equivalence

41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21st - 27th 2024

Publication Details

Journal
PolyU Institutional Research Archive (Hong Kong Polytechnic University)
Published
2024-10-18
Primary Topic
Machine Learning and Data Classification
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring the complexity of deep neural networks through functional equivalence

PolyU Institutional Research Archive (Hong Kong Polytechnic University)
Machine Learning and Data Classification
article

Exploring the complexity of deep neural networks through functional equivalence

article en

Abstract

41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21st - 27th 2024

PolyU Institutional Research Archive (Hong Kong Polytechnic University)
Hong Kong Polytechnic University
Openalex Percentile: Top 55%
Machine Learning and Data Classification
Open Access PDFOpenAlex
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Exploring the complexity of deep neural networks through functional equivalence · PolyU Institutional Research Archive (Hong Kong Polytechnic University) (2024) | TGRS Research Map | TGRS