network sparsity

Dynamic Low-Rank Sparse Adaptation for Large Language Models ICLR 2025 Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks AAAI 2025 Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency ICLR 2025 Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning ICML 2025 SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models AAAI 2025 MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024 The Privacy Power of Correlated Noise in Decentralized Learning ICML 2024 The State of Sparse Training in Deep Reinforcement Learning ICML 2022 The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training ICLR 2022 PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data ICML 2021 Pruning Neural Machine Translation for Speed Using Group Lasso EMNLP 2021 The Lottery Ticket Hypothesis for Object Recognition CVPR 2021 Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021 AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters NeurIPS 2019 Improving Deep Neural Network Sparsity through Decorrelation Regularization IJCAI 2018