$L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning$

L $^{2}$ NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning

25 September 2021

Mohammad Salameh

Seyed Saeed Changiz Rezaei

Wei Lu

Papers citing "L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning"

3 / 3 papers shown

Title
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification Keith G. Mills Di Niu Mohammad Salameh Weichen Qiu Fred X. Han Puyuan Liu Jialin Zhang Wei Lu Shangling Jui 23 7 0 30 Nov 2022
GENNAPE: Towards Generalized Neural Architecture Performance Estimators Keith G. Mills Fred X. Han Jialin Zhang Fabián A. Chudak A. Mamaghani Mohammad Salameh Wei Lu Shangling Jui Di Niu 11 4 0 30 Nov 2022
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search Xinshun Feng Herun Wan Shangbin Feng Hongrui Wang Jun Zhou Qinghua Zheng Minnan Luo 16 4 0 18 Aug 2022