Interpolation for Robust Learning: Data Augmentation on Wasserstein
Geodesics

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics

4 February 2023

Ding Zhao

Papers citing "Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics"

10 / 10 papers shown

Title
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification Yaoyao Zhu Xiuding Cai Xueyao Wang Xiaoqing Chen Yu Yao Zhongliang Fu MedIm 30 1 0 10 Mar 2024
On amortizing convex conjugates for optimal transport Brandon Amos OT 70 27 0 21 Oct 2022
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment Jielin Qiu Jiacheng Zhu Mengdi Xu Franck Dernoncourt Trung Bui Zhaowen Wang Bo-wen Li Ding Zhao Hailin Jin 33 11 0 10 Oct 2022
Neural Optimal Transport Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 124 88 0 28 Jan 2022
Entropic estimation of optimal transport maps Aram-Alexandre Pooladian Jonathan Niles-Weed OT 74 105 0 24 Sep 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 195 176 0 05 Feb 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 61 53 0 05 Jan 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 112 95 0 10 Dec 2020
Geometric Dataset Distances via Optimal Transport David Alvarez-Melis Nicolò Fusi OT 70 192 0 07 Feb 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 256 3,108 0 04 Nov 2016