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2025 AutoML AutoML 2025

Transferrable Surrogates in Expressive Neural Architecture Search Spaces

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B Cohen, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson

Topics

Artificial Intelligence > Learning Paradigms > Transfer Learning Machine Learning > Optimization & Theory > Optimization Deep Learning > Architectures > Neural Networks

Keywords

transfer learning surrogate model fine tuning large language model neural graph features (graf) zero-cost-proxy metrics
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