Deep Over-sampling Framework for Classifying Imbalanced Data

25 April 2017

Papers citing "Deep Over-sampling Framework for Classifying Imbalanced Data"

25 / 25 papers shown

Title
Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification Yujia Su Xinjie Li Lionel Z. Wang 46 0 0 07 Apr 2025
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model F.S. Pezzicoli V. Ros F.P. Landes M. Baity-Jesi 50 2 0 20 Jan 2025
A Closer Look at AUROC and AUPRC under Class Imbalance Matthew B. A. McDermott Lasse Hyldig Hansen Haoran Zhang Giovanni Angelotti Jack Gallifant 49 30 0 11 Jan 2024
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 43 30 0 10 Feb 2023
TopoImb: Toward Topology-level Imbalance in Learning from Graphs Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang AI4CE 37 12 0 16 Dec 2022
Latent Preserving Generative Adversarial Network for Imbalance classification T. Dam Md Meftahul Ferdaus Mahardhika Pratama S. Anavatti Senthilnath Jayavelu H. Abbass 30 6 0 04 Sep 2022
LTE4G: Long-Tail Experts for Graph Neural Networks Sukwon Yun Kibum Kim Kanghoon Yoon Chanyoung Park 42 40 0 22 Aug 2022
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing Qingyun Sun Jianxin Li Haonan Yuan Xingcheng Fu Hao Peng Cheng Ji Qian Li Philip S. Yu 24 38 0 17 Aug 2022
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data Taha ValizadehAslani Yiwen Shi Jing Wang Ping Ren Yi Zhang Meng Hu Lianggong Zhao Hualou Liang 39 7 0 22 Jul 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 33 6 0 10 Jun 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 21 67 0 04 Jan 2022
Margin Calibration for Long-Tailed Visual Recognition Yidong Wang Bowen Zhang Wenxin Hou Zhen Wu Jindong Wang T. Shinozaki MQ 16 27 0 14 Dec 2021
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification Seulki Park Youngkyu Hong Byeongho Heo Sangdoo Yun J. Choi 22 147 0 01 Dec 2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li Peng Cao Yuan. Yuan Lijie Fan Yuzhe Yang Rogerio Feris Piotr Indyk Dina Katabi 48 176 0 27 Nov 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 43 157 0 11 Oct 2021
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan. Z. Li SSL 14 46 0 21 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning Youngtaek Oh Dong-Jin Kim In So Kweon 44 64 0 10 Jun 2021
Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-loss E. Ferrari D. Bacciu FaML AI4CE 33 6 0 13 May 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh Chawla 29 263 0 05 May 2021
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 19 318 0 16 Mar 2021
FINE Samples for Learning with Noisy Labels Taehyeon Kim Jongwoo Ko Sangwook Cho J. Choi Se-Young Yun NoLa 38 103 0 23 Feb 2021
Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans Fatih Altay G. Sánchez Y. James S. Faraone Senem Velipasalar Asif Salekin 20 37 0 28 Nov 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning Yuzhe Yang Zhi Xu SSL 20 402 0 13 Jun 2020
Generative Adversarial Minority Oversampling S. S. Mullick Shounak Datta Swagatam Das 21 174 0 22 Mar 2019
Adversarial Classifier for Imbalanced Problems Ehsan Montahaei Mahsa Ghorbani M. Baghshah Hamid R. Rabiee 21 12 0 21 Nov 2018