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Deep Generative Model for Robust Imbalance Classification
Binary Classification on Imbalanced Dataset, by Xingyu Wang&Zhenyu Chen
148 - 7 techniques to work with imbalanced data for machine learning in python
M2m: Imbalanced Classification via Major-to-Minor Translation
[ICCV2021] Influence-Balanced Loss for Imbalanced Visual Classification
Master Thesis - Minimising Class Imbalance Problem in Sleep Stage Classification (by Xin Chen)
Handling imbalanced dataset in machine learning | Deep Learning Tutorial 21 (Tensorflow2.0 & Python)
Handling Imbalanced Dataset in Machine Learning: Easy Explanation for Data Science Interviews
Imbalanced Data Classification - Hands on Practices
Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective
5 ways to work with imbalanced data | Imbalanced dataset machine learning | Imbalanced data
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Last Updated: August 17, 2026
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![[ICCV2021] Influence-Balanced Loss for Imbalanced Visual Classification](https://i.ytimg.com/vi/IScwCt_xYoY/mqdefault.jpg)
