NeurIPS 2019 competition dinner

On going challenge tracks:
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LAP: Looking at People. A challenge series pushing the state-of-the art in computer vision to detect, recognize, and interact with humans. Current work: Face Anti-Spoofing challenge, CVPR 2024.
L2RPN: Learning to run a power network. A challenge series on real world problems of controlling the French electricity transmission grid. Latest: 2023 million dollar prize of the Paris Region.
Fair Universe: A series of challenges on bias in High Energy physics simulations. NeurIPS'24 challenge.
​META-LEARNING: NeurIPS'22 "Meta-Album" benchmark.
AUTOML: Kaggle 2024 AutoML Grand prix.
We actively support the development of the Codalab platform. Join the community.

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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 California tax-exempt organization under section 501(c)(3) of the US IRS code. DLN: 17053090370022, in business since 2011.