research
∙
07/18/2023
Accuracy versus time frontiers of semi-supervised and self-supervised learning on medical images
For many applications of classifiers to medical images, a trustworthy la...
share
research
∙
08/31/2022
Supervised Contrastive Learning with Hard Negative Samples
Unsupervised contrastive learning (UCL) is a self-supervised learning te...
research
∙
01/28/2022
Measure Estimation in the Barycentric Coding Model
This paper considers the problem of measure estimation under the barycen...
research
∙
11/04/2021
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning
We study the problem of designing hard negative sampling distributions f...
research
∙
11/01/2021
Interpretable contrastive word mover's embedding
This paper shows that a popular approach to the supervised embedding of ...
research
∙
11/26/2020
