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AutoML @ NeurIPS 2018 challenge: Design and Results

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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Contributor : Marc Schoenauer Connect in order to contact the contributor
Submitted on : Thursday, March 4, 2021 - 4:48:58 PM
Last modification on : Friday, February 4, 2022 - 3:14:01 AM


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  • HAL Id : hal-03159764, version 1


Hugo Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel Silver, Evelyne Viegas, et al.. AutoML @ NeurIPS 2018 challenge: Design and Results. Escalera, Sergio and Herbrich, Ralf. The NeurIPS '18 Competition, Springer Verlag, pp.209--229, 2020, 978-3-030-29135-8. ⟨hal-03159764⟩



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