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Yipeng Zhang

Doctorat - UdeM
Superviseur⋅e principal⋅e
Laurent Charlin
Sujets de recherche
Apprentissage continu
Apprentissage de représentations
Causalité
Google Scholar

Publications

Integrating Present and Past in Unsupervised Continual Learning
Yipeng Zhang
Laurent Charlin
Richard Zemel
Mengye Ren
We formulate a unifying framework for *unsupervised continual learning (UCL)*, which disentangles learning objectives that are specific to t… (voir plus)he present and the past data, encompassing *stability*, *plasticity*, and *cross-task consolidation*. The framework reveals that many existing UCL approaches overlook cross-task consolidation and try to balance plasticity and stability in a shared embedding space. This results in worse performance due to a lack of within-task data diversity and reduced effectiveness in learning the current task. Our method, *Osiris*, which explicitly optimizes all three objectives on separate embedding spaces, achieves state-of-the-art performance on all benchmarks, including two novel ones proposed in this paper featuring semantically structured task sequences. Finally, we show some preliminary evidence that continual models can benefit from such more realistic learning scenarios.
2025-02-17
Proceedings of The 3rd Conference on Lifelong Learning Agents (publié)
proceedings.mlr.press