[CFP] CoLLAs 2025 (the 4th Conference on Lifelong Learning Agents)

[Guansong Pang]

CoLLAs 2025 Call for papers

The Conference on Lifelong Learning Agents (CoLLAs) is an annual gathering of researchers to exchange ideas on advancing machine learning toward systems that can continually learn throughout their lifetime, become increasingly knowledgeable and capable, and perform well in complex non-stationary environments.

Traditional machine learning has largely relied on the assumption that data samples are i.i.d., which emphasizes optimizing test performance within a single task. While this approach has been highly influential, it limits further progress. One of the defining traits of human intelligence is the ability to learn continually and adaptively. In recent years, attention has shifted to alternative paradigms that embrace continual learning under non-i.i.d. and non-stationary settings and move away from a single fixed objective.

We invite submissions to the 4th edition of CoLLAs that describe new theories, methodologies, applications, or insights into existing algorithms and benchmarks for learning in non-i.i.d. and non-stationary settings. Accepted papers will be published in the Proceedings of Machine Learning Research (PMLR). Topics of submission may include but are not limited to:

• Theory for continual/lifelong learning
• Continual learning paradigms (class-incremental, task incremental, domain incremental, curriculum learning, active learning, federated learning, online learning, meta-learning, few-shot learning, and other non-stationary learning paradigms)
• Challenges with non-stationary learning (loss of plasticity, catastrophic forgetting, policy collapse, unlearning, OOD generalization, distribution shift, etc.)
• Continual reinforcement learning (options, skill discovery, hierarchical RL, intrinsically motivated learning, multi-agent RL)
• Continual learning in LLMs (in-context learning, pre-training, model editing, fine-tuning, adaptation)
• Knowledge transfer (transfer learning, multi-task learning, domain adaptation, sim2real, meta-learning)
• Non-stationary optimization
• Streaming learning, on-device, real-time learning
• Open-world learning, open-ended learning
• Neuroscience-inspired continual/lifelong learning
• Applications (control, robotics, healthcare, etc.)
• Datasets, benchmarks, evaluation, software libraries

We are particularly interested in submissions that explore connections between continual learning and other areas, including neuroscience, robotics, and education.

Submitted papers will be evaluated based on their novelty, technical quality, and potential impact. Experimental methods and results are expected to be reproducible, and authors are strongly encouraged to make code and data available. We also encourage submissions of proof-of-concept research that puts forward novel ideas and demonstrates potential, as well as in-depth analysis of existing methods and concepts.

CoLLAs 2025 will be held at the University of Pennsylvania in Philadelphia, USA.

For any questions about the conference, you can contact us at con...@lifelong-ml.cc.

Dates and Deadlines (Anywhere on Earth)

• Abstract deadline: Feb 21, 2025
• Submission deadline: Feb 26, 2025
• Review released: Apr 7, 2025
• Author rebuttals due: Apr 15, 2025
• Notifications of decision: May 12, 2025
• Resubmissions deadline: Jun 12, 2025
• Decision of resubmissions: Jun 23, 2025