Co-occurring keywords · papers mentioning both
Papers
BadWindtunnel: Defending Backdoor in High-noise Simulated Training with Confidence Variance
ACL 2025
Beware of Calibration Data for Pruning Large Language Models
ICLR 2025
CADP: Towards Better Centralized Learning for Decentralized Execution in MARL
IJCAI 2025
Discovering Influential Neuron Path in Vision Transformers
ICLR 2025
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
ACL 2025
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
ACL 2025
Effective and Efficient One-pass Compression of Speech Foundation Models Using Sparsity-aware Self-pinching Gates
Interspeech 2025
EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models
CVPR 2025
Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments
EMNLP 2025
Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism
COLING 2025
Exploring Activation Patterns of Parameters in Language Models
AAAI 2025
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
AAAI 2025
FISTAPruner: Layer-wise Post-training Pruning for Large Language Models
EMNLP 2025
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing
NAACL 2025
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
AAAI 2025
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
AAAI 2025
GAP: a Global Adaptive Pruning Method for Large Language Models
EMNLP 2025
GliaNet: Adaptive Neural Network Structure Learning with Glia-Driven
CVPR 2025
Hierarchical Safety Realignment: Lightweight Restoration of Safety in Pruned Large Vision-Language Models
ACL 2025
ICP: Immediate Compensation Pruning for Mid-to-high Sparsity
CVPR 2025
Importance-Guided Interpretability and Pruning for Video Transformers in Driver Action Recognition
WACV 2025
Knowledge Distillation Method for Pruned RNN-T Models via Pruning Bounds Sharing and Losses Confusion
Interspeech 2025
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions
EMNLP 2025
LLMs on a Budget? Say HOLA
EMNLP 2025
LoRA Unlearns More and Retains More (Student Abstract)
AAAI 2025