Meta-Knowledge Transfer/Communication in Different Systems

This workshop will be co-hosted with ECML/PKDD 2022 in Grenoble, France. It will be a half-day workshop, along with a half-day tutorial on Metalearning.

Invited Speakers

Call For Papers

Metaknowledge normally captures different aspects of existing (or potential) solutions, including, for instance which preprocessing methods should be used for the given data; which ML algorithms are relevant; which hyperparameters should be considered and how should these be set; how should all these elements be combined into useful pipelines or procedures. The aim of this workshop is to address the issues related to how (meta-)knowledge can be generated and transferred among different ML and AutoML systems, so that their joint capability to solve problems would be enhanced.

Main research areas:

Submission Format

This workshop hosts two tracks:

Submissions can be made through Microsoft CMT

Format of the Workshop

The workshop will last a half a day, as it is forms part of a combined tutorial-workshop. It will include:


The organizers are planning to prepare formal proceedings. The authors of accepted papers can decide whether they wish to have their full paper included or not. In the latter case, publication of short abstract would be possible.

Important Dates


Program Committee

Program Committee will be extended later.

Advisory Board

General organizers