Learning Imbalanced Datasets with Maximum Margin Loss

11 June 2022

Papers citing "Learning Imbalanced Datasets with Maximum Margin Loss"

9 / 9 papers shown

Title
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification Kelsey Lieberman Swarna Kamlam Ravindran Shuai Yuan Carlo Tomasi OOD 47 0 0 04 Oct 2024
CardioCaps: Attention-based Capsule Network for Class-Imbalanced Echocardiogram Classification Hyunkyung Han Jihyeon Seong Jaesik Choi 18 0 0 14 Mar 2024
Multi-dimensional Evaluation of Empathetic Dialog Responses Zhichao Xu Jiepu Jiang 36 6 0 18 Feb 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions Kelsey Lieberman Shuai Yuan Swarna Kamlam Ravindran Carlo Tomasi 34 0 0 08 Feb 2024
Enlarged Large Margin Loss for Imbalanced Classification S. Kato Kazuhiro Hotta 38 1 0 15 Jun 2023
Class-Balancing Diffusion Models Yiming Qin Huangjie Zheng Jiangchao Yao Mingyuan Zhou Ya Zhang DiffM 45 42 0 30 Apr 2023
Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation Haeyong Kang Chang D. Yoo 50 6 0 01 Jan 2023
Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance View Yangyang Guo Liqiang Nie Zhiyong Cheng Q. Tian Min Zhang 19 69 0 30 Oct 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 253 784 0 05 Dec 2019