A Survey on Optimal Transport for Machine Learning: Theory and Applications

3 June 2021

Papers citing "A Survey on Optimal Transport for Machine Learning: Theory and Applications"

10 / 10 papers shown

Title
Fair Text Classification via Transferable Representations Thibaud Leteno Michael Perrot Charlotte Laclau Antoine Gourru Christophe Gravier FaML 88 0 0 10 Mar 2025
Bandit Optimal Transport Lorenzo Croissant 82 0 0 11 Feb 2025
Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints Sebastian Pena Lin Lin Jia Li 42 0 0 29 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yonghao Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 135 0 0 10 Jan 2025
PLOT-TAL -- Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization Edward Fish Jon Weinbren Andrew Gilbert 42 1 0 27 Mar 2024
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Qijie Ding Jie Yin Daokun Zhang Junbin Gao 56 4 0 05 Jul 2023
Towards Explaining Distribution Shifts Sean Kulinski David I. Inouye OffRL FAtt 35 24 0 19 Oct 2022
Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization Firooz Shahriari-Mehr Ashkan Panahi 17 1 0 06 Oct 2022
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment Qijie Ding Daokun Zhang Jie Yin OT 21 6 0 05 Sep 2022
Decentralized Constrained Optimization: Double Averaging and Gradient Projection Firooz Shahriari-Mehr David Bosch Ashkan Panahi 16 8 0 21 Jun 2021