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neural network pruning

265 papers

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Also known as

NNP

Co-occurring keywords

model compression (3283) lottery ticket hypothesis (103) model pruning (233) network pruning (183) sparse training (77) neural network optimization (1293) neural network (6616) knowledge distillation (3680) weight pruning (57) large language model (12755)

Papers

ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference AAAI 2026
Forgetting by Pruning: Data Deletion in Join Cardinality Estimation AAAI 2026
Visual Detector Compression via Location-Aware Discriminant Analysis WACV 2026
Stratified Knowledge-Density Super-Network for Scalable Vision Transformers AAAI 2026
Efficient Plug-and-Play Weight Refinement for Sparse Large Models AAAI 2026
The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms AAAI 2026
Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity EMNLP 2025
ICP: Immediate Compensation Pruning for Mid-to-high Sparsity CVPR 2025
Enhancing Large Language Model Performance with Gradient-Based Parameter Selection AAAI 2025
Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning CVPR 2025
Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis JMLR 2025
GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven CVPR 2025
Masks Can be Learned as an Alternative to Experts ACL 2025
Pruning General Large Language Models into Customized Expert Models ACL 2025
LangCompress: Language-Aware Compression of Large Language Models IJCNLP 2025
OptiPrune: Effective Pruning Approach for Every Target Sparsity COLING 2025
Advancing Weight and Channel Sparsification with Enhanced Saliency WACV 2025
Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval CVPR 2025
1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models EMNLP 2025
Are Spatial-Temporal Graph Convolution Networks for Human Action Recognition Over-Parameterized? CVPR 2025
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment AAAI 2025
Variance-Based Pruning for Accelerating and Compressing Trained Networks ICCV 2025
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective AAAI 2025
PIP: Perturbation-based Iterative Pruning for Large Language Models EMNLP 2025
TinyFusion: Diffusion Transformers Learned Shallow CVPR 2025