arXiv Machine Learning June 5, 2026 By Kion Fallah, Silen Naihin, Barak Widawsky, Qingqing Mao

CLaaS: Continual learning as a service for sample efficient online learning

Read the original on arXiv Machine Learning →

arXiv:2606. 05559v1 Announce Type: new Abstract: Deployed large language model agents must adapt to distribution shift in dynamic environments.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments

arXiv:2606. 05661v1 Announce Type: new Abstract: Continual learning, the ability of AI systems to improve through sequential experience, has attracted substantial interest, but no high-quality benchmark exists to evaluate it.

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arXiv Machine Learning

Jul 10

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arXiv Machine Learning

Sep 15

Realistic Continual Learning Approach using Pre-trained Models

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Jun 8

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arXiv Machine Learning

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ReSCENE: Server-Side Replay for Structural Mitigation of Catastrophic Forgetting in Federated Continual Learning

arXiv:2609.38833v1 Announce Type: new Abstract: Federated continual learning must integrate new tasks over time without losing earlier-task knowledge. Most existing methods attach an anti-forgetting...

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