neural network pruning

Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks AAAI 2022 Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions NeurIPS 2022 Pruning’s Effect on Generalization Through the Lens of Training and Regularization NeurIPS 2022 Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free CVPR 2022 Rare Gems: Finding Lottery Tickets at Initialization NeurIPS 2022 Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm NeurIPS 2022 Recent Advances on Neural Network Pruning at Initialization IJCAI 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022 Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions ICLR 2022 SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance NeurIPS 2022 SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning ICLR 2022 The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks ICML 2022 The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models EMNLP 2022 The State of Sparse Training in Deep Reinforcement Learning ICML 2022 Training Your Sparse Neural Network Better with Any Mask ICML 2022 Universality of Winning Tickets: A Renormalization Group Perspective ICML 2022 Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework ICML 2021 A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices AAAI 2021 Adversarial Neuron Pruning Purifies Backdoored Deep Models NeurIPS 2021 Against Membership Inference Attack: Pruning is All You Need IJCAI 2021 A Probabilistic Approach to Neural Network Pruning ICML 2021 Auto Graph Encoder-Decoder for Neural Network Pruning ICCV 2021 Can Information Flows Suggest Targets for Interventions in Neural Circuits? NeurIPS 2021 Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization? ICML 2021 Channel Permutations for N:M Sparsity NeurIPS 2021