v1v2 (latest)

Diversity and Generalization in Neural Network Ensembles

26 October 2021

Papers citing "Diversity and Generalization in Neural Network Ensembles"

22 / 22 papers shown

Title
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo Hyunsu Kim G. Nam Chulhee Yun Hongseok Yang Juho Lee BDL UQCV 103 0 0 02 Mar 2025
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems G. Nam Juho Lee 133 0 0 22 Nov 2024
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 120 3 0 09 Oct 2024
Continual learning with the neural tangent ensemble Ari S. Benjamin Christian Pehle Kyle Daruwalla UQCV 141 1 0 30 Aug 2024
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 64 1 0 17 Jul 2024
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers Anh-Vu Bui Vy Vo Tung Pham Dinh Q. Phung Trung Le FedML UQCV 70 1 0 19 Mar 2024
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification Nelly Elsayed Constantinos L. Zekios Navid Asadizanjani Zag ElSayed 40 0 0 13 Jan 2024
PAC-Bayes-Chernoff bounds for unbounded losses Ioar Casado Luis A. Ortega A. Masegosa Aritz Pérez Martínez 113 6 0 02 Jan 2024
Are Ensembles Getting Better all the Time? Pierre-Alexandre Mattei Damien Garreau OOD FedML 116 1 0 29 Nov 2023
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias Ambroise Odonnat Vasilii Feofanov I. Redko 79 7 0 23 Oct 2023
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors Olivier Laurent Emanuel Aldea Gianni Franchi BDL UQCV 79 8 0 12 Oct 2023
Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data Konstantinos Pitas Julyan Arbel BDL UQCV FedML 59 0 0 04 Oct 2023
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy Pingzhi Li Zhenyu Zhang Prateek Yadav Yi-Lin Sung Yu Cheng Mohit Bansal Tianlong Chen MoMe 80 39 0 02 Oct 2023
Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning Amirhossein Vahidi Lisa Wimmer H. Gündüz Bernd Bischl Eyke Hüllermeier Mina Rezaei OOD UQCV 86 4 0 28 Aug 2023
EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical Guarantees D. C. Hoang Behzad Ousat Amin Kharraz Cuong V Nguyen AAML 76 1 0 27 Jul 2023
When are ensembles really effective? Ryan Theisen Hyunsuk Kim Yaoqing Yang Liam Hodgkinson Michael W. Mahoney FedML UQCV 94 15 0 21 May 2023
Verifying Generalization in Deep Learning Guy Amir Osher Maayan Tom Zelazny Guy Katz Michael Schapira AAML AI4CE 81 14 0 11 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 149 14 0 01 Feb 2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion Alan Jeffares Tennison Liu Jonathan Crabbé M. Schaar FedML 148 19 0 26 Jan 2023
A Unified Theory of Diversity in Ensemble Learning Danny Wood Tingting Mu Andrew M. Webb Henry W. J. Reeve M. Luján Gavin Brown UQCV 116 48 0 10 Jan 2023
Ensembling over Classifiers: a Bias-Variance Perspective Neha Gupta Jamie Smith Ben Adlam Zelda E. Mariet FedML UQCV FaML 54 7 0 21 Jun 2022
Deep Ensembles Work, But Are They Necessary? Taiga Abe E. Kelly Buchanan Geoff Pleiss R. Zemel John P. Cunningham OOD UQCV 145 65 0 14 Feb 2022