Call for Papers

This bridge welcomes researchers at any level working on learning protocols and models for non-stationary environments where CL, SML, and TSA ideas intersect. Participants must register for the bridge through the AAAI website (further details will be available starting October 10). We strongly encourage participants to contribute their ideas and work, but the bridge welcomes everyone interested in joining the discussion.

We welcome scientific contributions that will be presented through poster spotlights and poster sessions. The bridge will accept submissions in two tracks:

• Non-archival track (2 to 8 pages): Suitable for already published papers, preliminary works, position papers, or extended abstracts. Submissions in this track will not be included in the post-proceedings.

• Archival track (4 to 8 pages): Open to both short position papers and full papers presenting novel results. Submissions in this track will be included in the PMLR post-proceedings.

All contributions, except previously published ones, must adhere to the AAAI format and corresponding guidelines and be submitted via OpenReview. References are excluded from the page count. The review process is single-blind. All pre-proceedings will be published on this website.

Please note that new OpenReview profiles created without an institutional email will go through a moderation process that can take up to two weeks. New profiles created with an institutional email will be activated automatically.

Important Dates

Submission deadline (via OpenReview): 31 October 2025

Notification to the authors: 14 November 2025

Camera ready for pre-proceeding: TBA

Camera ready for post-proceeding: TBA

Topics

Topics include, but are not limited to: 

• Continual / Lifelong learning

• Streaming Machine Learning

• Online learning

• Concept drift

• Transfer learning 

• Domain / test-time adaptation

• Time series analysis