Co-occurring keywords · papers mentioning both
Papers
M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data
AAAI 2026
Batch Model Consolidation: A Multi-Task Model Consolidation Framework
CVPR 2023
Better Generative Replay for Continual Federated Learning
ICLR 2023
Class-incremental Learning via Deep Model Consolidation
WACV 2020
Distributed Weight Consolidation: A Brain Segmentation Case Study
NeurIPS 2018