Search Results for author:
Found 2 papers, 0 papers with code
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
Multi-task networks rely on effective parameter sharing to achieve robust generalization across tasks.
Gumbel-Softmax Selective Networks
This commonly encountered operational context calls for principled techniques for training ML models with the option to abstain from predicting when uncertain.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
