description [ICLR 2026][Model Compression][Sparse neural networks] This paper establishes the first sparse recovery guarantee for ReLU neural networks: for two-layer scalar-output networks with ...
description [NeurIPS 2025][Model Compression][N:M sparsity] This paper proposes PermLLM, the first learnable channel permutation (LCP) framework for N:M sparse LLMs. By relaxing discrete permutation ...
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