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When are ensembles really effective?

When are ensembles really effective?

21 May 2023
Ryan Theisen
Hyunsuk Kim
Yaoqing Yang
Liam Hodgkinson
Michael W. Mahoney
    FedML
    UQCV
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Papers citing "When are ensembles really effective?"

13 / 13 papers shown
Title
A Model Zoo on Phase Transitions in Neural Networks
A Model Zoo on Phase Transitions in Neural Networks
Konstantin Schurholt
Léo Meynent
Yefan Zhou
Haiquan Lu
Yaoqing Yang
Damian Borth
68
0
0
25 Apr 2025
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference
Entropy-regularized Gradient Estimators for Approximate Bayesian Inference
Jasmeet Kaur
BDL
UQCV
75
0
0
15 Mar 2025
Learning Ensembles of Vision-based Safety Control Filters
Learning Ensembles of Vision-based Safety Control Filters
Ihab Tabbara
Hussein Sibai
74
3
0
02 Dec 2024
How many classifiers do we need?
How many classifiers do we need?
Hyunsuk Kim
Liam Hodgkinson
Ryan Theisen
Michael W. Mahoney
23
0
0
01 Nov 2024
Theoretical Limitations of Ensembles in the Age of Overparameterization
Theoretical Limitations of Ensembles in the Age of Overparameterization
Niclas Dern
John P. Cunningham
Geoff Pleiss
BDL
UQCV
34
0
0
21 Oct 2024
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance
Haiquan Lu
Xiaotian Liu
Yefan Zhou
Qunli Li
Kurt Keutzer
Michael W. Mahoney
Yujun Yan
Huanrui Yang
Yaoqing Yang
40
1
0
17 Jul 2024
Using Uncertainty Quantification to Characterize and Improve
  Out-of-Domain Learning for PDEs
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
EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical
  Guarantees
EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical Guarantees
D. C. Hoang
Behzad Ousat
Amin Kharraz
Cuong V Nguyen
AAML
13
1
0
27 Jul 2023
Ensembled Prediction Intervals for Causal Outcomes Under Hidden
  Confounding
Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding
Myrl G. Marmarelis
Greg Ver Steeg
Aram Galstyan
Fred Morstatter
CML
OOD
16
5
0
15 Jun 2023
Pathologies of Predictive Diversity in Deep Ensembles
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe
E. Kelly Buchanan
Geoff Pleiss
John P. Cunningham
UQCV
38
13
0
01 Feb 2023
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
A. Masegosa
S. Lorenzen
Christian Igel
Yevgeny Seldin
31
40
0
01 Jul 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 Apr 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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