Jun 26, 2020 · Abstract: Neural architecture search (NAS) finds favorable network topologies for better task performance. Existing hardware-aware NAS ...
To address this issue, we propose ColocNAS, the first synchronization-aware, end-to-end NAS framework that automates the design of parallelizable neural ...
We propose ColocNAS, the first synchronization-aware, end-to-end NAS framework that automates the design of parallelizable neural networks for multidevice ...
Oct 11, 2023 · In this work, we propose a novel approach to incorporate multiple constraints into so-called Differentiable NAS optimization methods.
Missing: Parallelism | Show results with:Parallelism
Enhancing Model Parallelism in Neural Architecture Search for Multidevice System. In IEEE Micro, 2020. Cheng Fu, Huili Chen, Zhenheng Yang, Farinaz Koushanfar ...
In this work, we propose a novel approach to incorporate multiple constraints into so-called Differentiable NAS optimization methods.
Missing: Parallelism | Show results with:Parallelism
Neural architecture search (NAS) automatically designs effective network archi- tectures. Differentiable NAS with supernets that encompass all potential ...
We provide an efficient NAS framework that can be readily customized to address real-world multi-objective NAS (MNAS) scenarios.
Oct 22, 2024 · PDF | We review the problem of automating hardware-aware architectural design process of Deep Neural Networks (DNNs).
Sep 22, 2023 · This article proposes an evolutionary neural architecture search (ENAS) method based on improved Transformer and multi-branch ConvNet.