3 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.CV2023
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Mohammadi Kiarash, Zhao He, Mengyao Zhai +1
In many real-world settings, the critical class is rare and a missed detection carries a disproportionately high cost. For example, tumors are rare and a false negative diagnosis c…
cs.LG2023
Meta Temporal Point Processes
Wonho Bae, Mohamed Osama Ahmed, Frederick Tung +1
A temporal point process (TPP) is a stochastic process where its realization is a sequence of discrete events in time. Recent work in TPPs model the process using a neural network…