This bridge welcomes researchers at any level working on learning protocols and models for non-stationary environments where CL, SML, and TSA ideas intersect. 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.
We invite submissions of novel results or positions:
Short Papers: 5--9 pages in CEURART single-column format. Ideal for position papers, work-in-progress, or short technical notes.
Regular Papers: 10--12 pages in CEURART single-column format. For complete research contributions.
All submissions must use the official CEURART single-column template. Submissions must adhere to the CEUR-WS policy on AI tools and include the required declaration. Authors of accepted papers are required to present their work in person at the workshop and sign the CEUR-WS author agreement (CC BY 4.0 license).
Main track papers are subject to single-blind peer review by two reviewers.
Pre-proceedings will be made available on the website prior to the event, and the final proceedings will be submitted to CEUR-WS.org for online open-access publication.
Suitable for previously published papers, preliminary works, position papers, or extended abstracts. Submissions to this track will not be published in CEUR-WS, but will be made available to attendees prior to and during the event.
Published Showcase: Can be submitted without formatting or page restrictions.
New Work Showcase: Submissions may use any standard academic format. These are low-friction submissions designed for authors to present early-stage ideas, short abstracts, or works in progress to gather feedback and later expand for a future conference submissions.
Showcase track submissions are reviewed by a single reviewer for relevance and basic quality. Authors of accepted Showcase papers are required to present their work in person at the workshop. An AI declaration is encouraged, but optional.
Submission will open shortly via OpenReview.
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.
Participants must register for the bridge through the AAAI website via this link.
If you are attending the main AAAI conference, when registering for the main conference, you must add the Bridges, Tutorials, and Labs Add-on. If you are just attending the Bridge, you must purchase the Tutorial/Lab/Bridge Program Only Registration. In both cases, you may select as many tutorials, labs, and bridge programs as you wish on January 20 and 21 (without selecting concurrent programs).
Submission deadline (via TBA): TBA
Notification to the authors: TBA
Camera ready for pre-proceeding: TBA
Camera ready for post-proceeding: TBA
Topics include, but are not limited to:
Continual / Lifelong Learning
Streaming Machine Learning
Streaming Continual Learning: Unified perspectives on Streaming and Continual Learning
Concept Drift detection and categorization
Online learning in non-stationary environments
Time Series Analysis applied to data streams
Agentic AI: knowledge retention and adaptation in long-running agents
Endogenous drift: when a learner's own actions shift the data distribution
Test-time and domain adaptation
Multi-agent systems under distribution shift
Resource-aware and bounded-budget learning
Runtime monitoring and hardware-aware adaptation / execution
Software engineering and assurance for autonomous systems
Emerging directions in SCL: Continuous adaptation of Foundation Models and SCL applied to Reinforcement Learning.