Darongsae Kwon

Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation

Adapting large pre-trained models to unseen tasks under tight data and compute budgets remains challenging. Meta-learning approaches explicitly learn good initializations, but they require an additional meta-training phase over many tasks, incur high training cost, and can be unstable. At the same t