no code implementations • 7 Mar 2024 • Yameng Peng, Andy Song, Haytham M. Fayek, Vic Ciesielski, Xiaojun Chang
The SWAP-Score is strongly correlated with ground-truth performance across various search spaces and tasks, outperforming 15 existing training-free metrics on NAS-Bench-101/201/301 and TransNAS-Bench-101.
no code implementations • 27 Apr 2022 • Yameng Peng, Andy Song, Vic Ciesielski, Haytham M. Fayek, Xiaojun Chang
This often requires a high computational overhead to evaluate a number of candidate networks from the set of all possible networks in the search space during the search.
Ranked #16 on Neural Architecture Search on NAS-Bench-201, CIFAR-10
no code implementations • 20 Mar 2018 • John Mashford, Brad Lane, Vic Ciesielski, Felix Lipkin
This paper describes the results of formally evaluating the MCV (Markov concurrent vision) image labeling algorithm which is a (semi-) hierarchical algorithm commencing with a partition made up of single pixel regions and merging regions or subsets of regions using a Markov random field (MRF) image model.