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cs.LG2026
Trust Region Continual Learning as an Implicit Meta-Learner
Zekun Wang, Anant Gupta, Christopher J. MacLellan
Continual learning aims to acquire tasks sequentially without catastrophic forgetting, yet standard strategies face a core tradeoff: regularization-based methods (e.g., EWC) can ov…
cs.LG2026
Test-Time Compositional Generalization in Diffusion Models via Concept Discovery
Zekun Wang, Anant Gupta, Tianyi Zhu +1
Compositional generalization requires models to produce novel configurations from familiar parts. In diffusion models, prior compositional generation methods typically assume that…
cs.LG2026
Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models
Zekun Wang, Anant Gupta, Zihan Dong +1
Catastrophic forgetting remains a central obstacle for continual learning in neural models. Popular approaches -- replay and elastic weight consolidation (EWC) -- have limitations:…