Nicolas Richet

Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation

Adapting Vision-Language Models (VLMs) to new domains with few labeled samples remains a significant challenge due to severe overfitting and computational constraints. State-of-the-art solutions, such as low-rank reparameterization, mitigate these issues but often struggle with generalization and re…