From SMOTE to Mixup for Deep Imbalanced Classification

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From SMOTE to Mixup for Deep Imbalanced Classification

29 August 2023

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Papers citing "From SMOTE to Mixup for Deep Imbalanced Classification"

13 / 13 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 131 413 0 13 Jun 2020
M2m: Imbalanced Classification via Major-to-minor Translation Jaehyung Kim Jongheon Jeong Jinwoo Shin 95 224 0 01 Apr 2020
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 180 1,223 0 21 Oct 2019
LoRAS: An oversampling approach for imbalanced datasets Saptarshi Bej N. Davtyan M. Wolfien Mariam Nassar Olaf Wolkenhauer 24 112 0 22 Aug 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 131 1,609 0 18 Jun 2019
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 316 9,811 0 25 Oct 2017
The Devil is in the Tails: Fine-grained Classification in the Wild Grant Van Horn Pietro Perona VLM 94 206 0 05 Sep 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 128 3,685 0 08 Jun 2017
Dataset Augmentation in Feature Space Terrance Devries Graham W. Taylor 78 427 0 17 Feb 2017
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 84 1,457 0 07 Dec 2016
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data Salman H. Khan Munawar Hayat Bennamoun Ferdous Sohel R. Togneri 86 885 0 14 Aug 2015
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 388 25,747 0 09 Jun 2011

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