Co-occurring keywords
Papers
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ACL 2025
SVD-GCL: A Noise-Augmented Hybrid Graph Contrastive Learning Framework for Recommendation
COLING 2025
Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components
AAAI 2025
Operator Learning for Hyperbolic PDEs
JMLR 2025
DisLoRA: Task-specific Low-Rank Adaptation via Orthogonal Basis from Singular Value Decomposition
EMNLP 2025
GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression
EMNLP 2025
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness
AAAI 2025
FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning
ICCV 2025