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Tailoring Mixup to Data for Calibration

Tailoring Mixup to Data for Calibration

2 November 2023
Quentin Bouniot
Pavlo Mozharovskyi
Florence dÁlché-Buc
ArXivPDFHTML

Papers citing "Tailoring Mixup to Data for Calibration"

6 / 6 papers shown
Title
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
198
477
0
01 Oct 2021
MixSpeech: Data Augmentation for Low-resource Automatic Speech
  Recognition
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition
Linghui Meng
Jin Xu
Xu Tan
Jindong Wang
Tao Qin
Bo Xu
VLM
62
75
0
25 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
5,635
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
9,042
0
06 Jun 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
148
25,150
0
09 Jun 2011
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