Search academic texts

Information × Registration Number 2120U007895, Article popup.category Препринт Title Neural architecture search: a probabilistic approach (AI translated) popup.author Lut VolodymyrLut Volodymyr popup.publication 01-01-2020 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/2241 popup.publisher Description In this project, we introduce the Bayesian Optimization (BO) implementation of the NAS algorithm that is exploiting patterns found in most optimal unique architectures sampled from the most popular NAS dataset and benchmarking tool NASbench-101 (Dong and Yang, 2020a). The proposed solution leverages a novel approach to path-encoding and is designed to perform reproducible search even on a relatively small initial batch obtained from the random search. This implementation does not require any special hardware, it is publicly available. popup.nrat_date 2025-11-05 Close