Generalized Negative Correlation Learning for Deep Ensembling

Generalized Negative Correlation Learning for Deep Ensembling

5 November 2020

Sebastian Buschjäger

Papers citing "Generalized Negative Correlation Learning for Deep Ensembling"

15 / 15 papers shown

Title
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias Ambroise Odonnat Vasilii Feofanov I. Redko 43 7 0 23 Oct 2023
Fusing Models with Complementary Expertise Hongyi Wang Felipe Maia Polo Yuekai Sun Souvik Kundu Eric Xing Mikhail Yurochkin FedML MoMe 31 27 0 02 Oct 2023
Exploring Resiliency to Natural Image Corruptions in Deep Learning using Design Diversity Rafael Rosales Pablo Munoz Michael Paulitsch 30 2 0 15 Mar 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 43 13 0 01 Feb 2023
Joint Training of Deep Ensembles Fails Due to Learner Collusion Alan Jeffares Tennison Liu Jonathan Crabbé M. Schaar FedML 61 15 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 36 42 0 10 Jan 2023
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis Shigehiko Schamoni Michael Hagmann Stefan Riezler FedML 19 4 0 01 Sep 2022
Ensembling over Classifiers: a Bias-Variance Perspective Neha Gupta Jamie Smith Ben Adlam Zelda E. Mariet FedML UQCV FaML 20 6 0 21 Jun 2022
There is no Double-Descent in Random Forests Sebastian Buschjäger K. Morik 25 8 0 08 Nov 2021
Diversity and Generalization in Neural Network Ensembles Luis A. Ortega Rafael Cabañas A. Masegosa FedML UQCV 28 43 0 26 Oct 2021
Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement Sebastian Buschjäger K. Morik 22 3 0 19 Oct 2021
Semi-Supervised Deep Ensembles for Blind Image Quality Assessment Zhihua Wang Dingquan Li Kede Ma 17 7 0 26 Jun 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 158 2,733 0 18 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015