AAAI-23 Bridge on Continual Causality - Full program + registration

[martin.mundt]

Dear continual learners, 

following our previous email with a call for participation for continual causality, we are now very happy to present our full set of speakers, papers and schedule for our upcoming Continual Causality Bridge at AAAI-23, in-person and virtual on February 7th+8th as a full two-day event: https://www.continualcausality.org 

A registration link (in-person/virtual) is at the top of the website. 

In this email, we provide a short summary of everything the event will have to offer:

• 13 accepted vision papers https://www.continualcausality.org/papers/
• A packed program & schedule https://www.continualcausality.org/program/
• A diverse set of speakers, tutorials, software labs and panelists, including

• • 30 minute vision talks by Yejin Choi (University of Washington & Allen Institute for AI), Christopher Kanan (University of Rochester), Tobias Gerstenberg (Stanford University) and Vineeth N Balasubramanian (IIT Hyderabad & visiting faculty fellow at Carnegie Mellon University)
  • Panelists: Dhireesha Kudithipudi (University of Texas San Antonio), Moritz Grosse-Wentrup (University of Vienna) & two of our speakers Vineeth Balasubramanian and Christopher Kanan
  • A software lab on continual learning with Avalanche by Antonio Carta (University of Pisa & ContinualAI)
  • A software lab on causal inference with DoWhy/PyWhy by Peter Götz (Amazon Web Services) and Robert Osazuwa Ness (Microsoft Research)
  • 4 contributed oral talks on "Modeling Uplift from Observational Time-Series in Continual Scenarios", "From IID to the Independent Mechanisms assumption in continual learning", "Never Ending Reasoning and Learning: Opportunities and Challenges" & "Towards Causal Replay for Knowledge Rehearsal in Continual Learning"
  • Tutorial on Continual Learning by Keiland Cooper (University of California, ContinualAI) & Martin Mundt (TU Darmstadt, hessianAI, continualAI)
  • Tutorial on Causality by Adèle Helena Ribeiro (University of Marburg) & Devendra Singh Dhami (TU Darmstadt & hessianAI)
  • Planned interactive community discussions, ideas for future research, posters etc.

--> Check the website for more details, registration, and a link to join our Continual Causality Slack community! 

Best, 

the organizers of Continual Causality and ContinualAI