2 papers
cs.LG2021
Efficient estimates of optimal transport via low-dimensional embeddings
Patric M. Fulop, Vincent Danos
Optimal transport distances (OT) have been widely used in recent work in Machine Learning as ways to compare probability distributions. These are costly to compute when the data li…
cs.LG2018
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles
Remus Pop, Patric Fulop
In image classification tasks, the ability of deep CNNs to deal with complex image data has proven to be unrivalled. However, they require large amounts of labeled training data to…