Challenge / Overview

The AutoTrain competition has the goal to fully automate the training process of deep learning models. Submitted optimizers will be benchmarked on a set of unknown architecture/dataset pairs, in a live competition at AMLD2020 (following an earlier trial round event).

The winning optimizers will be made publicly available as open source and bring significant value to practitioners and researchers, by removing the need of expensive hyperparameter tuning, and by providing fair benchmarking of all optimizers.

Challenge / Co-organizers

Thijs Vogels

PhD student in Machine Learning and Optimization, EPFL

Martin Jaggi

Professor, EPFL

AMLD EPFL 2020 / Challenges

AutoTrain Challenge

With Thijs Vogels & Martin Jaggi

October 01-December 15, 2019

AutoTrain Challenge

With Thijs Vogels & Martin Jaggi

October 01-December 15, 2019

AutoTrain Challenge

With Thijs Vogels & Martin Jaggi

October 01-December 15, 2019

AMLD / Global partners