Author

Yunxiang Fu

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#machine learning Preprint Sep 2026

CLARE: Scalable Class-Incremental Continual Learning via a Sparsity-Based Framework

This paper presents a novel sparsity-driven continual learning framework that operates in two stages: it first identifies a sparse, task-critical parameter mask via a sparsity-inducing objective, then performs mask-constrained fine-tuning by only optimizing parameters selected by the mask.

Yunxiang Fu, Meng Lou, Zicheng Liao et al. · 0 citations

#machine learning Preprint Aug 2026

One Adapter, Many Tasks: Task-Conditioned Feature Transformations for Continual Learning

FACET proposes an efficient replay-free task-conditioned feature consistency loss, aiming to mitigate catastrophic forgetting of the learned mixture distribution in the adapter's feature space, and demonstrates robust scalability.

Yunxiang Fu, Meng Lou, Yizhou Yu · 0 citations