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A Novel E-Exponential Stochastic Resonance Model and Weak Signal Detection Method for Steel Wire Rope., , and . IEEE Trans. Ind. Electron., 69 (7): 7428-7440 (2022)Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks., , , , , , , and . Trans. Mach. Learn. Res., (2023)A Communication-Aware DNN Accelerator on ImageNet Using In-Memory Entry-Counting Based Algorithm-Circuit-Architecture Co-Design in 65-nm CMOS., , , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 10 (3): 283-294 (2020)Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph., , , and . ICLR, OpenReview.net, (2023)Don't just prune by magnitude! Your mask topology is a secret weapon., , , and . NeurIPS, (2023)Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 6989-7000. PMLR, (2021)Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity., , , , , , , , , and . CoRR, (2023)Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs., , , , , , , , and . CoRR, (2023)OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning., , , and . CoRR, (2024)Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective., , , , , , and . CoRR, (2023)