2 citations · 4 across the 4 of their papers we have counts for
4 papers
Runtime Analysis of Evolutionary NAS for Multiclass Classification
Zeqiong Lv, Chao Qian, Yun Liu +2
Evolutionary neural architecture search (ENAS) is a key part of evolutionary machine learning, which commonly utilizes evolutionary algorithms (EAs) to automatically design high-pe…
A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search
Zeqiong Lv, Chao Qian, Yanan Sun
Evolutionary neural architecture search (ENAS) employs evolutionary algorithms to find high-performing neural architectures automatically, and has achieved great success. However,…
Efficient Evaluation Methods for Neural Architecture Search: A Survey
Xiaotian Song, Xiangning Xie, Zeqiong Lv +4
Neural Architecture Search (NAS) has received increasing attention because of its exceptional merits in automating the design of Deep Neural Network (DNN) architectures. However, t…
Analyzing the Expected Hitting Time of Evolutionary Computation-based Neural Architecture Search Algorithms
Zeqiong Lv, Chao Qian, Gary G. Yen +1
Evolutionary computation-based neural architecture search (ENAS) is a popular technique for automating architecture design of deep neural networks. Despite its groundbreaking appli…