neural network pruning

LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ACL 2024 LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels CVPR 2024 MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024 NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models ACL 2024 NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization ICLR 2024 Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024 On the Impact of Calibration Data in Post-training Quantization and Pruning ACL 2024 PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks WACV 2024 Pruning Foundation Models for High Accuracy without Retraining EMNLP 2024 Pruning From Scratch via Shared Pruning Module and Nuclear Norm-Based Regularization WACV 2024 Pruning is Optimal for Learning Sparse Features in High-Dimensions COLT 2024 Pruning neural network models for gene regulatory dynamics using data and domain knowledge NeurIPS 2024 Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024 S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning NeurIPS 2024 Scaling Laws for Sparsely-Connected Foundation Models ICLR 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NeurIPS 2024 ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models EMNLP 2024 Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NeurIPS 2024 SparseLLM: Towards Global Pruning of Pre-trained Language Models NeurIPS 2024 Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging ICLR 2024 Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning ICLR 2024 Sparsity-Accelerated Training for Large Language Models ACL 2024 S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training NeurIPS 2024 The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information NeurIPS 2024 Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NeurIPS 2024