Yonathan Aflalo — accepted AI-conference papers

2021

HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search

Niv Nayman, Yonathan Aflalo, Asaf Noy, Lihi Zelnik

ICML 2021spotlight

Realistic use of neural networks often requires adhering to multiple constraints on latency, energy and memory among others. A popular approach to find fitting networks is through constrained Neural Architecture Search (NAS), however, previous methods enforce the constraint only softly. Therefore, t…

Cited by 39 Source ↗PDF ↗code ↗Scholar ↗

2015

Classical Scaling Revisited

Gil Shamai, Yonathan Aflalo, Michael Zibulevsky, Ron Kimmel

ICCV 2015poster

Multidimensional-scaling (MDS) is an information analysis tool. It involves the evaluation of distances between data points, which is a quadratic space-time problem. Then, MDS procedures find an embedding of the points in a low dimensional Euclidean (flat) domain, optimizing for the similarity of in…

Cited by 14 PDF ↗Scholar ↗