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arXiv · 1903.05263

AutoML @ NeurIPS 2018 challenge: Design and Results

Hugo Jair Escalante·Wei-Wei Tu·Isabelle Guyon·Daniel L. Silver·Evelyne Viegas·Yuqiang Chen·Wenyuan Dai·Qiang Yang
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Abstract

We organized a competition on Autonomous Lifelong Machine Learning with Drift that was part of the competition program of NeurIPS 2018. This data driven competition asked participants to develop computer programs capable of solving supervised learning problems where the i.i.d. assumption did not hold. Large data sets were arranged in a lifelong learning and evaluation scenario and CodaLab was used as the challenge platform. The challenge attracted more than 300 participants in its two month duration. This chapter describes the design of the challenge and summarizes its main results.

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Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang. 2019-03-12. AutoML @ NeurIPS 2018 challenge: Design and Results. https://arxiv.org/abs/1903.05263

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