IDAP++: Advancing Divergence-Based Pruning via Filter-Level and Layer-Level Optimization

Aleksei Samarin, Artem Nazarenko, Egor Kotenko +3

This paper presents a novel approach to neural network compression that addresses redundancy at both the filter and architectural levels through a unified framework grounded in inf…