SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly
Representative Neural Architectures

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures

19 June 2019

Yiran Chen

Papers citing "SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures"

7 / 7 papers shown

Title
MacFormer: Semantic Segmentation with Fine Object Boundaries Guoan Xu Wenfeng Huang Tao Wu Ligeng Chen Wenjing Jia Guangwei Gao Xiatian Zhu Stuart W. Perry 40 0 0 11 Aug 2024
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition Huanzhang Dou Pengyi Zhang Wei Su Yunlong Yu Xi Li CVBM 29 31 0 06 Jun 2023
Differentiable Network Pruning for Microcontrollers Edgar Liberis Nicholas D. Lane 22 18 0 15 Oct 2021
$μ$ NAS: Constrained Neural Architecture Search for Microcontrollers Edgar Liberis L. Dudziak Nicholas D. Lane BDL 15 103 0 27 Oct 2020
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 498 0 24 Apr 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang Andrew G. Howard Bo Chen Xiao Zhang Alec Go Mark Sandler Vivienne Sze Hartwig Adam 90 515 0 09 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016