A Unified Theory of Diversity in Ensemble Learning

10 January 2023

Papers citing "A Unified Theory of Diversity in Ensemble Learning"

24 / 24 papers shown

Title
Mixture of Group Experts for Learning Invariant Representations Lei Kang Jia Li Mi Tian Hua Huang MoE 33 0 0 12 Apr 2025
Imbalanced malware classification: an approach based on dynamic classifier selection J. V. S. Souza C. B. Vieira G. D. C. Cunha R. M. O. Cruz 47 0 0 30 Mar 2025
Uncertainty-Aware Decoding with Minimum Bayes Risk Nico Daheim Clara Meister Thomas Möllenhoff Iryna Gurevych 53 0 0 07 Mar 2025
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo Hyunsu Kim G. Nam Chulhee Yun Hongseok Yang Juho Lee BDL UQCV 57 0 0 02 Mar 2025
Quantifying Correlations of Machine Learning Models Yuanyuan Li Neeraj Sarna Yang Lin 85 0 0 06 Feb 2025
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems G. Nam Juho Lee 74 0 0 22 Nov 2024
Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk Decoding Hidetaka Kamigaito Hiroyuki Deguchi Yusuke Sakai Katsuhiko Hayashi Taro Watanabe 41 1 0 19 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 33 2 0 09 Oct 2024
Dynamic Post-Hoc Neural Ensemblers Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka UQCV 36 0 0 06 Oct 2024
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification Ben Dai UQCV 29 0 0 02 Sep 2024
Learning to Explore for Stochastic Gradient MCMC Seunghyun Kim Seohyeon Jung Seonghyeon Kim Juho Lee BDL 48 1 0 17 Aug 2024
Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method Jinghui Yuan Weijin Jiang Zhe Cao Fangyuan Xie Rong Wang Feiping Nie Yuan Yuan 29 3 0 06 Aug 2024
Logifold: A Geometrical Foundation of Ensemble Machine Learning Inkee Jung Siu-Cheong Lau FedML AI4CE 27 1 0 23 Jul 2024
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs S. C. Mouli Danielle C. Maddix S. Alizadeh Gaurav Gupta Andrew Stuart Michael W. Mahoney Yuyang Wang UQCV AI4CE 40 2 0 15 Mar 2024
Towards a Systematic Approach to Design New Ensemble Learning Algorithms João Mendes-Moreira Tiago Mendes-Neves FedML 22 1 0 09 Feb 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets Ossi Raisa Antti Honkela 75 0 0 06 Feb 2024
Understanding and Improving Ensemble Adversarial Defense Yian Deng Tingting Mu AAML 13 19 0 27 Oct 2023
Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction Alejandro Rodriguez Dominguez Muhammad Shahzad Xia Hong 14 1 0 02 Sep 2023
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML Lennart Purucker Lennart Schneider Marie Anastacio Joeran Beel B. Bischl Holger Hoos 28 4 0 17 Jul 2023
Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy Jiaju Miao Pawel Polak 14 2 0 30 Mar 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 38 13 0 01 Feb 2023
Adversarial Detection by Approximation of Ensemble Boundary T. Windeatt AAML 24 0 0 18 Nov 2022
LENAS: Learning-based Neural Architecture Search and Ensemble for 3D Radiotherapy Dose Prediction Yi Lin Yanfei Liu Hao-tao Chen Xin Yang Kai Ma Yefeng Zheng Kwang-Ting Cheng 3DV 26 4 0 12 Jun 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016