May 6, 2024 · The class imbalance problem, which has been recognized in many real-world applications, negatively affects the performance of neural networks.

Jul 1, 2022 · With SGD, class imbalance has an additional effect on the direction of the gradients: the minority class suffers from a higher directional noise ...

We here elucidate the significant negative impact of data imbalance on learning, showing that the learning curves for minority and majority classes follow sub- ...

We present MASAGA, an extension of SAGA on Riemannian manifolds. SAGA is a variance reduction technique that often performs faster in practice compared to ...

Guided by these observations, we characterize how class imbalance affects the learning dynamics, and study whether it is possible to adapt gradient-based ...

Here, we elucidate the significant negative impact of data imbalance on learning, showing that the learning curves for minority and majority classes follow sub- ...

Finally, I note that there is some recent work analyzing the dynamics of gradient descent under class imbalance: Characterizing the Effect of Class Imbalance on ...

Imbalance learning is a subfield of machine learning that focuses on learning tasks in the presence of class imbalance. Nearly all existing studies refer to ...

We present an exhaustive review to deal with issues of class imbalance learning. We addressed the classification and regression tasks in the imbalance problem.

Dec 28, 2022 · The main results show that both the imbalance ratio and the number of minority classes have a detrimental effect on the classifiers performance.