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Xuerui Zhang

2 accepted papers

2026

HAD: Heterogeneity-Aware Distillation for Lifelong Heterogeneous Learning

CVPR 2026

Lifelong learning aims to preserve knowledge acquired from previous tasks while incorporating knowledge from a sequence of new tasks. However, most prior work explores only streams of homogeneous tasks (*e.g.*, only classification tasks) and neglects the scenario of learning across heterogeneous tas

Cited by 0SourcecodeScholar
2024

SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models

NeurIPS 2024poster

Continual learning aims to incrementally acquire new concepts in data streams while resisting forgetting previous knowledge. With the rise of powerful pre-trained models (PTMs), there is a growing interest in training incremental learning systems using these foundation models, rather than learning f…