NeurIPS 2019 competition dinner

On going challenge tracks:
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​META-LEARNING: Few shot learning challenge and AAAI workshop.
AUTODL: Automated deep learning. In this challenge series, participants much build learning machines that are trained and tested on new datasets without human intervention whatsoever.
LAP: Looking at People. In this challenge series we are pushing the state-of-the art in computer vision to detect, recognize, and interact with humans.
L2RPN: Learning to run a power network. In this challenge series we expose the community a real world problems of controlling the French electricity transmission grid and investigate whether reinforcement learning can help push the state-of-the-art.
NeurIPS 2020: We sponsored 4 NeurIPS competitions, all held on Codalab.
We actively support the development of the Codalab platform. Join the community.
We also support the ChaHub challenge index. Contact us if you want your challenges indexed.

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Mission:

Machine Learning is the science of building hardware or software that can achieve tasks by learning from examples. The examples often come as {input, output} pairs. Given new inputs a trained machine can make predictions of the unknown output.

Examples of machine learning tasks include:

• • automatic reading of handwriting
  • assisted medical diagnosis
  • automatic text classification (classification of web pages; spam filtering)
  • financial predictions

We organize challenges to stimulate research in this field. The web sites of past challenges remain open for post-challenge submission as ever-going benchmarks.

ChaLearn is a tax-exempt organization under section 501(c)(3) of the US IRS code. DLN: 17053090370022.

We are in business since 2011! ​