k-Mixup Regularization for Deep Learning via Optimal Transport

k-Mixup Regularization for Deep Learning via Optimal Transport

5 June 2021

Kristjan Greenewald

Mikhail Yurochkin

Papers citing "k-Mixup Regularization for Deep Learning via Optimal Transport"

11 / 11 papers shown

Title
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023
Over-training with Mixup May Hurt Generalization Zixuan Liu Ziqiao Wang Hongyu Guo Yongyi Mao NoLa 39 11 0 02 Mar 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 33 28 0 21 Dec 2022
C-Mixup: Improving Generalization in Regression Huaxiu Yao Yiping Wang Linjun Zhang James Zou Chelsea Finn UQCV OOD 46 58 0 11 Oct 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 33 32 0 21 Aug 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction Jiacheng Zhu Jielin Qiu Zhuolin Yang Douglas Weber M. Rosenberg Emerson Liu Yue Liu Ding Zhao OOD 33 13 0 02 Aug 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization Xiaojun Xu Jacky Y. Zhang Evelyn Ma Danny Son Oluwasanmi Koyejo Yue Liu 30 12 0 03 Feb 2022
Preventing Manifold Intrusion with Locality: Local Mixup Raphael Baena Lucas Drumetz Vincent Gripon AAML 55 16 0 12 Jan 2022
Noisy Feature Mixup Soon Hoe Lim N. Benjamin Erichson Francisco Utrera Winnie Xu Michael W. Mahoney AAML 48 37 0 05 Oct 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 207 179 0 05 Feb 2021
On the Generalization Effects of Linear Transformations in Data Augmentation Sen Wu Hongyang R. Zhang Gregory Valiant Christopher Ré 23 77 0 02 May 2020