Efficient Augmentation for Imbalanced Deep Learning

13 July 2022

Papers citing "Efficient Augmentation for Imbalanced Deep Learning"

8 / 8 papers shown

Title
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering Sungchul Hong SeungHwan An Jong-June Jeon 25 0 0 30 May 2024
Towards Understanding How Data Augmentation Works with Imbalanced Data Damien Dablain Nitesh V. Chawla AI4CE 26 2 0 12 Apr 2023
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh V. Chawla 22 1 0 15 Dec 2022
Understanding CNN Fragility When Learning With Imbalanced Data Damien Dablain Kristen N. Jacobson C. Bellinger Mark Roberts Nitesh V. Chawla 24 39 0 17 Oct 2022
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 247 782 0 05 Dec 2019
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 202 1,019 0 26 Mar 2018
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,247 0 09 Jun 2011