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 / URL

https://github.com/epfml/autoTrain

Challenge / Co-organizers

Thijs Vogels

PhD student in Machine Learning and Optimization, EPFL

Martin Jaggi

Professor, EPFL

AMLD EPFL 2020 / Challenges

View challenges

Flatland Challenge

With Erik Nygren & Sharada Mohanty

Round 1: July 30-October 13, 2019
Round 2: October 13, 2019-January 05, 2020

AutoTrain Challenge

With Thijs Vogels & Martin Jaggi

October 01-December 15, 2019

D’Avatar - Reincarnation of Personal Data Entities in Unstructured Text Datasets

With Balaji Ganesan & Kalapriya Kannan

October 30-December 31, 2019

AMLD / Global partners