Vincent Gripon

ThinResNet establishes reliable benchmarks for comparing pruning methods in neural networks.

This research focuses on enhancing few-shot learning through careful class selection.

Research sheds light on transfer learning applications and model performance relationships.

A look at confidence intervals in few-shot learning and their impact on model evaluation.