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Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning.

, , , , , and . ACM Trans. Design Autom. Electr. Syst., 28 (6): 102:1-102:19 (November 2023)

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A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks., , , , , , and . CoRR, (2020)PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration., , , , , and . HPCA, page 108-123. IEEE, (2024)Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation., , , , , , and . IJCAI, page 2497-2504. ijcai.org, (2021)Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning., , , , , and . ACM Trans. Design Autom. Electr. Syst., 28 (6): 102:1-102:19 (November 2023)An Efficient Algorithm for the Construction of Dynamically Updating Trajectory Networks., , and . HPEC, page 1-7. IEEE, (2021)Bilinear Map Based One-Time Signature Scheme with Secret Key Exposure., , , , and . IACR Cryptol. ePrint Arch., (2021)MergePath-SpMM: Parallel Sparse Matrix-Matrix Algorithm for Graph Neural Network Acceleration., , , , and . ISPASS, page 145-156. IEEE, (2023)Towards Real-Time Temporal Graph Learning., , , , , and . ICCD, page 263-271. IEEE, (2022)Towards Sparsification of Graph Neural Networks., , , , , , and . ICCD, page 272-279. IEEE, (2022)Masked Memory Primitive for Key Insulated Schemes., , , , , and . HOST, page 293-303. IEEE, (2024)