New Meta-Learning challenges (MetaLearn 2022)

[Causality Workbench]

New Meta-Learning challenges (MetaLearn 2022)
https://metalearning.chalearn.org/

Following the AutoDL 2019-2020 challenge series and past meta-learning challenges and benchmarks we have organized, including MetaDL@NeurIPS'21, we are organizing three competitions in 2022:
- 1st Round of Meta-learning from learning curves (ENDED will be presented at WCCI 2022).
- 2nd Round of Meta-learning from learning curves (CURRENT, accepted to AutoML-Conf 2022).
- Cross-domain Meta-learning (CURRENT, accepted to NeurIPS 2022).

Timeline Meta-learning from learning curves:
May 16, 2022: Public phase starts, starting kit available.
May 23, 2022: Feedback phase starts, you can now make submissions.
July 4, 2022: Final phase starts. No new submission: your last submission of the previous phase is tested on test data.
July 11, 2022: Final phase ends.
July 25, 2022: Results revealed at AutoML-conf.

Timeline Cross-domain Meta-learning:
Jun 15, 2022: Public phase starts, the starting kit and 10 public datasets will be released for the participants to start familiarizing themselves with the problem and test their solutions locally.
Jul 1, 2022: Feedback phase starts, the CodaLab platform will start receiving submissions from the participants to provide them instant feedback of their solutions on 10 hidden datasets.
Sep 1, 2022: Final phase starts, the last submission of each participant from the feedback phase is blind-tested on 10 new hidden datasets to rank the participants and select the winners.
Oct 1 - 15, 2022: Notification of winners.
Dec 2022: NeurIPS competition track.