MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler

17 October 2020

Jiang Bian

Papers citing "MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler"

7 / 7 papers shown

Title
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 44 11 0 28 Oct 2023
Fine-tune Language Models to Approximate Unbiased In-context Learning Timothy Chu Zhao Song Chiwun Yang 31 15 0 05 Oct 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification Mengting Zhou Zhiguo Gong 16 20 0 24 Feb 2023
Imbalanced Classification via Explicit Gradient Learning From Augmented Data Bronislav Yasinnik Moshe Salhov Ofir Lindenbaum Amir Averbuch 19 0 0 21 Feb 2022
Multi-granularity Relabeled Under-sampling Algorithm for Imbalanced Data Qi Dai Jian-wei Liu Yang Liu 20 46 0 11 Jan 2022
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 90 133 0 06 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 466 11,715 0 09 Mar 2017