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Competition Track Day 2: Overviews + Breakout Sessions
Douwe Kiela · Marco Ciccone · Barbara Caputo

Wed Dec 08 02:00 AM -- 06:44 AM (PST) @
Event URL: https://neurips.cc/Conferences/2021/CompetitionTrack »

The program includes a wide variety of exciting competitions in different domains, with some focusing more on applications and others trying to unify fields, focusing on technical challenges or directly tackling important problems in the world. The aim is for the broad program to make it so that anyone who wants to work on or learn from a competition can find something to their liking.

In this session, we have the following competitions:
* Learning By Doing: Controlling a Dynamical System using Control Theory, Reinforcement Learning, or Causality
* Reconnaissance Blind Chess
* Real Robot Challenge II
* The Billion-Scale Approximate Nearest Neighbor Search Challenge
* MetaDL: Few Shot Learning Competition with Novel Datasets from Practical Domains

Author Information

Douwe Kiela (Facebook AI Research)
Marco Ciccone (Politecnico di Torino)
Marco Ciccone

Marco Ciccone is an ELLIS Postdoctoral Researcher in the VANDAL group at Politecnico di Torino and UCL. His current research interests are in the intersection of meta, continual, and federated learning with a particular focus on modularity and models re-use to scale the training of agents with heterogeneous data and mitigate the effect of catastrophic forgetting and interference across tasks, domains, and devices. He has been NeurIPS Competiton Track co-chair in 2021, 2022 and 2023.

Barbara Caputo (Politecnico di Torino)

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