64 citations · 109 across the 10 of their papers we have counts for
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cs.LG2021
BINAS: Bilinear Interpretable Neural Architecture Search
Niv Nayman, Yonathan Aflalo, Asaf Noy +2
Practical use of neural networks often involves requirements on latency, energy and memory among others. A popular approach to find networks under such requirements is through cons…
cs.LG2021★ 17 cited
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Niv Nayman, Yonathan Aflalo, Asaf Noy +1
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…
cs.LG2021★ 2 cited
CobBO: Coordinate Backoff Bayesian Optimization with Two-Stage Kernels
Jian Tan, Niv Nayman, Mengchang Wang
Bayesian optimization is a popular method for optimizing expensive black-box functions. Yet it oftentimes struggles in high dimensions where the computation could be prohibitively…