Islab: Created page with "{{StudentProjectTemplate |Summary=This project explores online continual learning to train models that adapt to changing environments and new tasks while retaining previously..."

2026-02-06T10:48:27Z

Created page with "{{StudentProjectTemplate |Summary=This project explores online continual learning to train models that adapt to changing environments and new tasks while retaining previously..."

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{{StudentProjectTemplate
|Summary=This project explores online continual learning to train models that adapt to changing environments and new tasks while retaining previously learned knowledge.
|Keywords=Online Continual Learning; Time-series Forecasting; concept drift
|Supervisor=Nuwan Gunasekara, Yuantao Fan
|Status=Ongoing
}}
This project explores how online continual learning methods can be designed and employed for time-series forecasting so that models can be adapted rapidly to evolving environments and new tasks without catastrophic forgetting.

Online Continual Learning for Time-Series Forecasting - Revision history

Islab: Created page with "{{StudentProjectTemplate |Summary=This project explores online continual learning to train models that adapt to changing environments and new tasks while retaining previously..."