#automl

Towards Automated Deep Learning: Analysis of the AutoDL Challenge Series 2019

2020-06-01 Zhengying Liu, Zhen Xu, Shangeth Rajaa, Meysam Madadi, Julio C. S. Jacques Junior, Sergio Escalera, Adrien Pavao, Sebastien Treguer, Wei-Wei Tu, Isabelle Guyon Proceedings of Machine Learning Research (PMLR), NeurIPS 2019 Competition Track, Vol. 123, pp. 242–252

#AutoML #Deep Learning #NeurIPS

Design and results of the AutoDL challenge series 2019 (AutoCV, AutoCV2, AutoNLP, AutoSpeech, AutoDL), showing winning solutions generalize to unseen datasets.

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Overview and Unifying Conceptualization of Automated Machine Learning

2019-09-16 Zhengying Liu, Zhen Xu, Meysam Madadi, Julio Jacques Junior, Sergio Escalera, Shangeth Rajaa, Isabelle Guyon ECML PKDD 2019 Workshop on Automating Data Science (ADS)

#AutoML #Machine Learning #Meta-learning

A novel generic mathematical formulation of AutoML unifying HPO and meta-learning, showing meta-learning addresses AutoML more fundamentally than hyperparameter optimization.