Learning graphons via structured gromov-wasserstein barycenters

H Xu, D Luo, L Carin, H Zha - Proceedings of the AAAI Conference on …, 2021 - ojs.aaai.org
We propose a novel and principled method to learn a nonparametric graph model called
graphon, which is defined in an infinite-dimensional space and represents arbitrary-size …

Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation

Y Xu, G Wen, Y Hu, P Yang - … on Circuits and Systems for Video …, 2024 - ieeexplore.ieee.org
Unsupervised domain adaptation (UDA) aims to estimate a transferable model for unlabeled
target domains by exploiting labeled source data. Optimal Transport (OT) based methods …

Weakly-supervised temporal action alignment driven by unbalanced spectral fused Gromov-Wasserstein distance

D Luo, Y Wang, A Yue, H Xu - Proceedings of the 30th ACM International …, 2022 - dl.acm.org
Temporal action alignment aims at segmenting videos into clips and tagging each clip with a
textual description, which is an important task of video semantic analysis. Most existing …

Unsupervised domain adaptation via deep hierarchical optimal transport

Y Xu, G Wen, Y Hu, P Yang - arXiv preprint arXiv:2211.11424, 2022 - arxiv.org
Unsupervised domain adaptation is a challenging task that aims to estimate a transferable
model for unlabeled target domain by exploiting source labeled data. Optimal Transport (OT) …

[PDF][PDF] BoMb-OT: On Batch of Mini-batches Optimal Transport

K Nguyen, Q Nguyen, N Ho, T Pham, H Bui, D Phung… - CoRR, 2021 - researchgate.net
Mini-batch optimal transport (m-OT) has been successfully used in practical applications that
involve probability measures with intractable density, or probability measures with a very …