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AutoML 3
Jul 31, Oct 23, 2018)
https://www.4paradigm.com/competition/nips2018

This is a competition with CODE submission, in 2 phases:

  1. Feed-back phase: You get to practice (with code or result submission) on 5 datasets and get immediate feed-back on a leaderboard.
  2. AutoML phase: The code gets blind tested on 5 new datasets.

Welcome to AutoML@ChaLearn. ChaLearn is a non-for-profit organization bringing to you challenges and workshops in Machine Learning. The AutoML track works since 2014 to stimulate the community to work on the problem of creating ML algorithms that work without any human intervention. This means completely automatically choosing models, architectures, hyper-parameters, etc. There are statistical challenges (not over-fitting) and computational challenges (searching fast a large space of possibilities).
ChaLearn also has a very active Computer Vision track.
 News:

August 28, 2018
We had a workshop at PRICAI 2018.

July 14-15 2018:
We had a nice workshop at ICML 2018.  

March 2018:
Our next competition on Life Long ML is accepted to NIPS 2018.

June 21, 2016: Microsoft published a BLOG post on AutoML 1.

We re-implemented old challenges in Codalab [NIPS 2003][KDDcup 2009, small, large] and created one for [MNIST data]

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