Lattice-Based Pruning in Recurrent Neural Networks via Poset Modeling
Recurrent neural networks (RNNs) are central to sequence modeling tasks, yet their high computational complexity poses challenges for scalability and real-time deployment. Traditional pruning techniques, predominantly based on weight magnitudes, often ove...
paper address：https://arxiv.org/