Research map / Architectures and efficiency / Pruning and efficient tuning
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
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Closest papers by meaning
- TSENOR: Highly-Efficient Algorithm for Finding Transposable N:M Sparse Masks (NeurIPS 2025 · similarity 0.92)
- Minimum Variance Unbiased N:M Sparsity for the Neural Gradients (ICLR 2023 · similarity 0.91)
- DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks (NeurIPS 2021 · similarity 0.91)
- Bi-directional Masks for Efficient N:M Sparse Training (ICML 2023 · similarity 0.91)
- BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training (ICML 2025 · similarity 0.89)
- SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization (NeurIPS 2024 · similarity 0.89)
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