2026
FlexHiNM-GP: Flexible Hierarchical Pruning via Region Allocation and Channel Permutation
ICLR 2026poster
N:M sparsity has emerged as a hardware-friendly pruning strategy, notably supported by NVIDIA’s Sparse Tensor Cores. While efficient, its fixed sparsity ratio restricts flexibility, making it difficult to adapt pruning granularity to varying weight importance across layers and architectures. To over…