Vision Transformer Pruning Paper

An arXiv paper proposing Fisher information metric and geodesic distance as optimality criteria for neural network pruning. Adopting a differential geometry perspective, the work provides a unified framework encompassing methods ranging from magnitude-based pruning to optimal geometric pruning.