conftrace_

weight pruning

57 papers

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WP

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model compression (3302) neural network pruning (265) neural network (6616) model pruning (237) knowledge distillation (3725) neural network optimization (1293) large language model (13587) structured sparsity (89) network pruning (183) transfer learning (5449)

Papers

HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models AAAI 2026
Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training AAAI 2026
Advancing Weight and Channel Sparsification with Enhanced Saliency WACV 2025
COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection EMNLP 2025
Controllable Memorization in LLMs via Weight Pruning EMNLP 2025
SwiftPrune: Hessian-Free Weight Pruning for Large Language Models EMNLP 2025
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement AAAI 2025
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models ACL 2025
Wanda++: Pruning Large Language Models via Regional Gradients ACL 2025
MaxQ: Multi-Axis Query for N:M Sparsity Network CVPR 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NIPS 2024
WRP: Weight Recover Prune for Structured Sparsity ACL 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NIPS 2024
Search for Efficient Large Language Models NIPS 2024
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models ICML 2023
Training Debiased Subnetworks With Contrastive Weight Pruning CVPR 2023
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition ICML 2023
Pushing the Efficiency Limit Using Structured Sparse Convolutions WACV 2023
Pruning Pre-trained Language Models Without Fine-Tuning ACL 2023
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks ICCV 2023
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference ICML 2023
Model Sparsity Can Simplify Machine Unlearning NIPS 2023
Parameter-Efficient Masking Networks NIPS 2022
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning NIPS 2022
Universality of Winning Tickets: A Renormalization Group Perspective ICML 2022