4 citations · 5 across the 3 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
Zhewen Yu, Christos-Savvas Bouganis
The task of compressing pre-trained Deep Neural Networks has attracted wide interest of the research community due to its great benefits in freeing practitioners from data access r…
cs.LG2022★ 4 cited
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection
Guoxuan Xia, Christos-Savvas Bouganis
The ability to detect Out-of-Distribution (OOD) data is important in safety-critical applications of deep learning. The aim is to separate In-Distribution (ID) data drawn from the…