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"

13 / 13 papers shown

Title
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Zhining Liu Ze Yang Xiao Lin Ruizhong Qiu Tianxin Wei Yada Zhu Hendrik Hamann Jingrui He Hanghang Tong AI4TS 32 0 0 24 May 2025
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 69 11 0 28 Oct 2023
Gradient Harmonized Single-stage Detector Buyu Li Yu Liu Xiaogang Wang ObjD 34 529 0 13 Nov 2018
Learning to Teach with Dynamic Loss Functions Lijun Wu Fei Tian Yingce Xia Yang Fan Tao Qin Jianhuang Lai Tie-Yan Liu 48 112 0 29 Oct 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 107 1,419 0 24 Mar 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel NoLa 119 549 0 14 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 174 8,236 0 04 Jan 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 83 1,448 0 14 Dec 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 742 11,793 0 09 Mar 2017
Learning from Noisy Labels with Distillation Yuncheng Li Jianchao Yang Yale Song Liangliang Cao Jiebo Luo Li Li NoLa 53 549 0 07 Mar 2017
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning G. Lemaître Fernando Nogueira Christos K. Aridas 40 2,052 0 21 Sep 2016
Training Region-based Object Detectors with Online Hard Example Mining Abhinav Shrivastava Abhinav Gupta Ross B. Girshick ObjD 106 2,411 0 12 Apr 2016
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 249 25,443 0 09 Jun 2011