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RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression
  Tasks

RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks

28 May 2024
Seonghyeon Hwang
Minsu Kim
Steven Euijong Whang
    NoLa
ArXivPDFHTML

Papers citing "RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks"

4 / 4 papers shown
Title
Recover from Horcrux: A Spectrogram Augmentation Method for Cardiac Feature Monitoring from Radar Signal Components
Recover from Horcrux: A Spectrogram Augmentation Method for Cardiac Feature Monitoring from Radar Signal Components
Y. Zhang
Sijie Xiong
Rui Yang
EngGee Lim
Yutao Yue
46
0
0
25 Mar 2025
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
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
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
1