Co-occurring keywords · papers mentioning both
Papers
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
EACL 2026
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning
ICLR 2025
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
ICML 2025
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
ACL 2025
Neuroplastic Expansion in Deep Reinforcement Learning
ICLR 2025
Safety Alignment via Constrained Knowledge Unlearning
ACL 2025
Backdoor Defense via Test-Time Detecting and Repairing
CVPR 2024
Large Language Models Relearn Removed Concepts
ACL 2024
Learn To be Efficient: Build Structured Sparsity in Large Language Models
NeurIPS 2024
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment
EMNLP 2024
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework
ICLR 2024
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
NeurIPS 2023
Reconstructive Neuron Pruning for Backdoor Defense
ICML 2023
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning
EACL 2023
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness
ICML 2022
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve
NeurIPS 2022
Analyzing Redundancy in Pretrained Transformer Models
EMNLP 2020
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
AAAI 2019
Compressing Neural Networks using the Variational Information Bottleneck
ICML 2018
Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error
IJCAI 2018