research
∙
06/05/2021
k-Mixup Regularization for Deep Learning via Optimal Transport
Mixup is a popular regularization technique for training deep neural net...
share
research
∙
07/19/2020
Octahedral Frames for Feature-Aligned Cross-Fields
We present a method for designing smooth cross fields on surfaces that a...
research
∙
12/16/2019
Incorporating Unlabeled Data into Distributionally Robust Learning
We study a robust alternative to empirical risk minimization called dist...
research
∙
11/05/2019
Alleviating Label Switching with Optimal Transport
Label switching is a phenomenon arising in mixture model posterior infer...
research
∙
06/26/2019
Hierarchical Optimal Transport for Document Representation
The ability to measure similarity between documents enables intelligent ...
research
∙
09/19/2018
Dynamical Optimal Transport on Discrete Surfaces
We propose a technique for interpolating between probability distributio...
research
∙
02/15/2018