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.
1 code implementation • 27 Apr 2023 • Jarry Chen, Haytham M. Fayek
Our SCARY dataset provides a valuable resource for researchers to explore causal discovery under more realistic scenarios.
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 • 29 May 2020 • Haytham M. Fayek, Anurag Kumar
Recognizing sounds is a key aspect of computational audio scene analysis and machine perception.
Ranked #26 on Audio Classification on AudioSet
1 code implementation • 21 Nov 2019 • Haytham M. Fayek, Justin Johnson
In this paper, we use the task of Audio Question Answering (AQA) to study the temporal reasoning abilities of machine learning models.
Ranked #1 on Audio Question Answering on DAQA
no code implementations • 29 Nov 2018 • Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu
Deep networks, composed of multiple layers of hierarchical distributed representations, tend to learn low-level features in initial layers and transition to high-level features towards final layers.