2 papers
cs.CV2023
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
Elahe Rahimian, Golara Javadi, Frederick Tung +1
Multi-task networks rely on effective parameter sharing to achieve robust generalization across tasks. In this paper, we present a novel parameter sharing method for multi-task lea…
cs.LG2022
Gumbel-Softmax Selective Networks
Mahmoud Salem, Mohamed Osama Ahmed, Frederick Tung +1
ML models often operate within the context of a larger system that can adapt its response when the ML model is uncertain, such as falling back on safe defaults or a human in the lo…