Sound Demixing Challenge 2023

By AIcrowd Sony Group Corporation Moises.AI Mitsubishi Electric Research Laboratories

Audio Source Separation using AI

NeurIPS 2022: CityLearn Challenge

By AIcrowd Intelligent Environments Lab

Using AI For Building’s Energy Management

ESCI Challenge for Improving Product Search

By Amazon Search

Amazon KDD Cup 2022

Multi Agent Behavior Challenge 2022

By AIcrowd MABe Team

Behavioral Representation Learning from Animal Poses.

Airborne Object Tracking Challenge

By Amazon Prime Air

Airborne Object Tracking Challenge

Flatland 3

By AIcrowd SBB CFF FFS Deutsche Bahn SNCF

Multi-Agent RL for Trains

Learn-to-Race: Autonomous Racing Virtual Challenge

By Carnegie Mellon University Arrival

The first, open autonomous racing challenge.

The Neural-MMO Challenge

By MIT

Robustness and teamwork in a massively multiagent environment

Seismic Facies Identification Challenge

By SEAM AI

3D Seismic Image Interpretation by Machine Learning

Flatland

By SBB Deutsche Bahn SNCF

Multi-Agent Reinforcement Learning on Trains

Food Recognition Challenge

By Seerave Foundation

A benchmark for image-based food recognition

NeurIPS 2020: MineRL Competition

By MineRL Labs - Carnegie Mellon University

Sample-efficient reinforcement learning in Minecraft

Learning to Smell

By Firmenich

Predicting smell of molecular compounds

SnakeCLEF2021 - Snake Species Identification Challenge

By Institute of Global Health LifeCLEF

Classify images of snake species from around the world

CYD Campus Aircraft Localization Competition

By OpenSky Network Cyber-Defence Campus, armasuisse

Find all the aircraft!

REAL 2020 - Robot open-Ended Autonomous Learning

By GOAL-Robots

Robots that learn to interact with the environment autonomously

NeurIPS 2019: Learn to Move - Walk Around

By Stanford Neuromuscular Biomechanics Laboratory

Reinforcement Learning on Musculoskeletal Models

NeurIPS 2019 : Disentanglement Challenge

By Max Planck Institute for Intelligent Systems

Disentanglement: from simulation to real-world

NeurIPS 2019 : MineRL Competition

By MineRL Labs - Carnegie Mellon University

Sample-efficient reinforcement learning in Minecraft

Flatland Challenge

By SBB

Multi Agent Reinforcement Learning on Trains.

AMLD 2020 - Transfer Learning for International Crisis Response

By DEEP

Help improve humanitarian crisis response through better NLP modeling

AMLD 2020 - D'Avatar Challenge

By IBM Research

Reincarnation of personal data entities in unstructured data sets

ICCV 2019: Learning-to-Drive Challenge

By Computer Vision Lab - ETH Zurich

Immitation Learning for Autonomous Driving

Flatland AMLD 2021

By AIcrowd

Multi-Agent Reinforcement Learning on Trains