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CoLLAs 2024 : 3rd Conference on Lifelong Learning Agents | |||||||||||||||||
Link: https://lifelong-ml.cc/Conferences/2024/ | |||||||||||||||||
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Call For Papers | |||||||||||||||||
Third Conference on Lifelong Learning Agents - CoLLAs 2024
Machine learning has relied heavily on a traditional view of the learning process, whereby observations are assumed to be i.i.d., typically given as a dataset split into a training and validation set with the explicit focus to maximize performance on the latter. While this view proved to be immensely beneficial for the field, it represents just a fraction of the realistic scenarios of interest. Over the past few decades, increased attention has been given to alternative paradigms that help explore different aspects of the learning process, from lifelong learning, continual learning, and meta-learning to transfer learning, multi-task learning, in-context learning, and out-of-distribution generalization, to name just a few. The Conference on Lifelong Learning Agents (CoLLAs) focuses on these learning paradigms that aim to move beyond the traditional, single-distribution i.i.d. machine learning setting and to allow learning to be more robust, more efficient in terms of compute and data, more versatile in terms of being able to handle multiple problems and be well-defined and well-behaved in more realistic non-stationary settings compared to the traditional view. We invite submissions to the 3rd 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, Reinforcement Learning, Supervised Learning, Self-supervised Learning, or Unsupervised Learning approaches for: Lifelong Learning / Continual Learning Meta-Learning Multi-Task Learning Transfer Learning Curriculum Learning Domain Adaptation Few-Shot Learning Out-Of-Distribution Generalization Online Learning Active Learning Open-Ended Learning The conference also welcomes submissions at the intersection of machine learning and neuroscience and applications of the topics of interest to real-world problems. 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 2024 will be held in Pisa, Italy at Polo Didattico San Rossore 1938, a facility provided by University of Pisa. For any questions about the conference, you can contact us at contact@lifelong-ml.cc . Important Dates Abstract deadline February 09 February 15, 2024, 11:59 pm (Anywhere on Earth, AoE) Submission deadline February 15, 2024, 11:59 pm (AoE) Review released March 25, 2024 Author rebuttals due April 05, 2024 Notifications of decision April 25, 2024 Resubmissions deadline May 25, 2024 Decision of resubmissions June 10, 2024 Main conference July 29 - August 01, 2024 |
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