Systematic review on neural architecture search

web

2024·Springer(peer-reviewed)·link.springer.com/article/10.1007/s10462-024-11058-w

Authors

Sasan Salmani Pour Avval·Vahid Yaghoubi·Nathan D. Eskue·Roger M. Groves

Credibility Rating

4/5

High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: Springer

A systematic review of neural architecture search methods published in a peer-reviewed journal, relevant to AI safety as NAS techniques influence model design choices that can affect safety properties and robustness.

Paper Details

Citations

Year

2024

DOI:10.21203/rs.3.rs-4085293/v1

Metadata

journal articlereference

Cited by 2 pages

Page	Type	Quality
Self-Improvement and Recursive Enhancement	Capability	69.0
Novel / Unknown Approaches	Capability	53.0

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# Systematic review on neural architecture search
Authors: Sasan Salmani Pour Avval, Nathan D. Eskue, Roger M. Groves, Vahid Yaghoubi
Journal: Artificial Intelligence Review
Published: 2025-01-06
DOI: 10.1007/s10462-024-11058-w

Resource ID: e7b7fb411e65d3d1 | Stable ID: sid_mPaLQ31leO