Ruilin Tong

2 accepted papers

2025

Coreset Selection via Reducible Loss in Continual Learning

Ruilin Tong, Yuhang Liu, Javen Qinfeng Shi, Dong Gong

ICLR 2025poster

Rehearsal-based continual learning (CL) aims to mitigate catastrophic forgetting by maintaining a subset of samples from previous tasks and replaying them. The rehearsal memory can be naturally constructed as a coreset, designed to form a compact subset that enables training with performance compara…

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2025

Model Inversion with Layer-Specific Modeling and Alignment for Data-Free Continual Learning

Ruilin Tong, Haodong Lu, Yuhang Liu, Dong Gong

NeurIPS 2025poster

Continual learning (CL) aims to incrementally train a model to a sequence of tasks while maintaining performance on previously seen ones. Despite effectiveness in mitigating forgetting, data storage and replay may be infeasible due to privacy or security constraints, and are impractical or unavailab…

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