Mar 15, 2022 · This study presents a novel, simple, and effective framework to mine minority-class examples using uncertainty estimates. We identified key ...

Dec 15, 2021 · We propose an effective, yet simple, approach to overcome these challenges. Our framework enhances the subdued tail-class activations.

Jun 6, 2022 · In this work, we propose an effective, yet simple, approach to overcome these challenges. Our framework enhances the subdued tail-class ...

This work enhances the subdued tail-class activations and, thereafter, uses a one-class data-centric approach to effectively identify tail- class examples ...

Sep 13, 2024 · A promising solution is to mine tail-class examples to balance the training dataset. However, mining tail-class examples is a very challenging ...

These methods generate synthetic instances in the minority class, to balance the dataset, performing data augmentations that improve the performance of ...

In the real world, the frequency of occurrence of objects is naturally skewed forming long-tail class distributions, which results in poor performance on the ...

Mining Minority-Class Examples with Uncertainty Estimates · Gursimran Singh · Lingyang Chu · Lanjun Wang · Jian Pei · Qi Tian · Yong Zhang ...

Our framework enhances the subdued tail-class activations and, thereafter, uses a one-class data-centric approach to effectively identify tail-class examples.

Mining Minority-Class Examples with Uncertainty Estimates Conferences. McMaster Experts is powered by VIVO · About · Capability Map · Contact Us · Index · Login ...