layer-wise pruning

Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization UAI 2026 Two-Stage Regularization-Based Structured Pruning for LLMs ACL 2026 Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference ACL 2025 ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models CVPR 2025 Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning JMLR 2025 FISTAPruner: Layer-wise Post-training Pruning for Large Language Models EMNLP 2025 SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity CVPR 2025 TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models ACL 2025 AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models NeurIPS 2024 Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models NeurIPS 2024 Dynamic Encoder Size Based on Data-Driven Layer-wise Pruning for Speech Recognition Interspeech 2024 ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models ICLR 2024 SlimGPT: Layer-wise Structured Pruning for Large Language Models NeurIPS 2024 X-Pruner: eXplainable Pruning for Vision Transformers CVPR 2023 AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks AAAI 2021 Layer-wise Model Pruning based on Mutual Information EMNLP 2021 Optimization based Layer-wise Magnitude-based Pruning for DNN Compression IJCAI 2018 Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon NeurIPS 2017