162 citations · 354 across the 26 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2022
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019
Zhengying Liu, Adrien Pavao, Zhen Xu +22
This paper reports the results and post-challenge analyses of ChaLearn's AutoDL challenge series, which helped sorting out a profusion of AutoML solutions for Deep Learning (DL) th…
cs.LG2020★ 4 cited
Efficient Architecture Search for Continual Learning
Qiang Gao, Zhipeng Luo, Diego Klabjan
Continual learning with neural networks is an important learning framework in AI that aims to learn a sequence of tasks well. However, it is often confronted with three challenges:…