DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation

14 January 2021

Papers citing "DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation"

16 / 16 papers shown

Title
Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy Stanislav Dereka I. Karpukhin Maksim Zhdanov Sergey Kolesnikov 36 0 0 19 May 2023
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis OOD UQCV 22 2 0 08 Apr 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 40 13 0 01 Feb 2023
Towards Inference Efficient Deep Ensemble Learning Ziyue Li Kan Ren Yifan Yang Xinyang Jiang Yuqing Yang Dongsheng Li BDL 26 12 0 29 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
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping Vikranth Dwaracherla Zheng Wen Ian Osband Xiuyuan Lu S. Asghari Benjamin Van Roy UQCV 29 17 0 08 Jun 2022
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model Sosuke Kobayashi Shun Kiyono Jun Suzuki Kentaro Inui MoMe 26 7 0 24 May 2022
Towards efficient feature sharing in MIMO architectures Rémy Sun Alexandre Ramé Clément Masson Nicolas Thome Matthieu Cord 76 6 0 20 May 2022
Improving robustness and calibration in ensembles with diversity regularization H. A. Mehrtens Camila González Anirban Mukhopadhyay UQCV 19 7 0 26 Jan 2022
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation Jungbeom Lee Jooyoung Choi J. Mok Sungroh Yoon SSeg 220 134 0 13 Oct 2021
Repulsive Deep Ensembles are Bayesian Francesco DÁngelo Vincent Fortuin UQCV BDL 59 94 0 22 Jun 2021
Neural Bootstrapper Minsuk Shin Hyungjoon Cho Hyun-Seok Min Sungbin Lim UQCV BDL 22 7 0 02 Oct 2020
Anytime Inference with Distilled Hierarchical Neural Ensembles Adria Ruiz Jakob Verbeek UQCV BDL FedML 52 6 0 03 Mar 2020
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 203 473 0 12 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015