Co-occurring keywords · papers mentioning both
Papers
Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient
ACL 2025
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics
ICCV 2025
Numerical Pruning for Efficient Autoregressive Models
AAAI 2025
PAT: Pruning-Aware Tuning for Large Language Models
AAAI 2025
PruneSLU: Efficient On-device Spoken Language Understanding through Vocabulary and Structural Pruning
Interspeech 2025
RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model
NAACL 2025
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
NeurIPS 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment
CVPR 2024
DepGraph: Towards Any Structural Pruning
CVPR 2023
Global Vision Transformer Pruning With Hessian-Aware Saliency
CVPR 2023
Integral Neural Networks
CVPR 2023
LLM-Pruner: On the Structural Pruning of Large Language Models
NeurIPS 2023
Memory-Oriented Structural Pruning for Efficient Image Restoration
AAAI 2023
Structural Pruning via Latency-Saliency Knapsack
NeurIPS 2022
When To Prune? A Policy Towards Early Structural Pruning
CVPR 2022
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks
NeurIPS 2021
Discrete Model Compression With Resource Constraint for Deep Neural Networks
CVPR 2020
Importance Estimation for Neural Network Pruning
CVPR 2019
TETRIS: TilE-matching the TRemendous Irregular Sparsity
NeurIPS 2018