2024
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
ICLR 2024poster
Modular and composable transfer learning is an emerging direction in the field of Parameter Efficient Fine-Tuning, as it enables neural networks to better organize various aspects of knowledge, leading to improved cross-task generalization. In this paper, we introduce a novel approach Customized Pol…