Connectionists: [Extended Deadline 15 Sept] Call for papers: IEEE ICDM2021 Workshop on Continual Learning and Adaptation for Time Evolving Data

[Ghada Sokar]

Dear Colleagues,

This is the Call for Papers for the 2nd Continual Learning and Adaptation
for Time Evolving Data Workshop at IEEE ICDM 2021.
Workshop website: https://cleated2021.github.io/

*Extended Deadline for submissions: September 15, 2021.*

**** Scope and aim ****
In continual learning, models can continually accumulate knowledge over
time without the need to retrain from scratch, with particular methods
aimed to alleviate forgetting. It can continually learn from a stream of
experiential data, building on what was learned previously, while being
able to reapply, adapt and generalize to new situations. This is
particularly important when there are changes in the data streams. Current
predictive models need to be adapted to these changes (drifts) as soon as
possible while maintaining good performance measures (e.g. accuracy, time,
delay, energy efficiency).

The aim of this workshop is to bring together researchers from the areas of
continual learning, model adaptation and concept drift in order to
encourage discussions and new collaborations on solving the problems in
this domain. We like to encourage state-of-the-art research in the area of
continual learning, model adaptation, and concept drift. Beyond that, we
encourage research that demonstrates the applicability of this research in
various areas including (but not limited to) earth and environmental
science, sensor networks, and transportation network. We encourage the
submissions of research that incorporates the fundamentals of green AI.
Therefore, this workshop encourages submissions that attempt to address any
of these issues.


**** Submission Information ****
Papers should be submitted here
<https://www.wi-lab.com/cyberchair/2021/icdm21/scripts/submit.php?subarea=S04&undisplay_detail=1&wh=/cyberchair/2021/icdm21/scripts/ws_submit.php>
.
All accepted workshop papers will be published in the dedicated ICDMW
proceedings published by the IEEE Computer Society Press.

**** Keynote Speakers***
Razvan Pascanu, DeepMind
Eric Eaton, University of Pennsylvania
Vincenzo Lomonaco, University of Pisa

-- 
Regards,
CLEATED Workshop organizers
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