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AutoST: Training-free Neural Architecture Search for Spiking Transformers
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AutoST: Training-free Neural Architecture Search for Spiking Transformers

Ziqing Wang
Qidong Zhao
Jinku Cui
Xu Liu
Dongkuan Xu
ArXiv (abs)PDFHTML

Papers citing "AutoST: Training-free Neural Architecture Search for Spiking Transformers"

2 / 2 papers shown
Title
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
Spiking-PhysFormer: Camera-Based Remote Photoplethysmography with Parallel Spike-driven Transformer
Mingxuan Liu
Jiankai Tang
Haoxiang Li
Jiahao Qi
Siwei Li
Kegang Wang
Yuntao wang
Hong Chen
Yuntao Wang
Hong Chen
167
15
0
07 Feb 2024
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks
Nitin Rathi
Kaushik Roy
130
135
0
09 Aug 2020

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