Aug 7, 2022 · In this paper, we take advantage of the NAS-Bench-101 dataset to challenge the efficiency of a uniform-sampling based WS variant on several representative ...
We present evidence that the search space itself has an intricate effect on the capabilities of WS and can bias weight-sharing towards certain architectural ...
In this paper, we take advantage of the NAS-Bench-101 dataset to challenge the efficiency of a uniform-sampling based WS variant on several representative ...
Weight-sharing (WS) has recently emerged as a paradigm to accelerate the automated search for efficient neural architectures, a process dubbed Neural ...
Aloïs Pourchot, Kévin Bailly, Alexis Ducarouge, Olivier Sigaud. An extensive appraisal of weight-sharing on the NAS-Bench-101 benchmark.
May 18, 2020 · In this paper we leverage an existing dataset of architecture evaluations,. NASBENCH-101 (Ying et al., 2019), to investigate whether. WS can ...
在本文中，我们利用NAS-Bench-101 数据集来挑战基于统一采样的WS 变体在几个代表性搜索空间上的效率。在回顾了以前关于WS 的研究并强调了它们的一些缺点 ...
Because NAS-Bench-101 exhaustively evaluates a search space, it permits, for the first time, a comprehensive analysis of a NAS search space as a whole. We ...
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A Comprehensive Appraisal of Weight-Sharing - ResearchGate
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Weight-sharing (WS) has recently emerged as a paradigm to accelerate the automated search for efficient neural architectures, a process dubbed Neural ...
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An extensive appraisal of weight-sharing on the NAS-Bench-101 benchmark ... Weight-sharing (WS) has recently emerged as a paradigm to accelerate the ...