Diversity inducing Information Bottleneck in Model Ensembles

Diversity inducing Information Bottleneck in Model Ensembles

10 March 2020

Homanga Bharadhwaj

Hugo Larochelle

Florian Shkurti

Papers citing "Diversity inducing Information Bottleneck in Model Ensembles"

16 / 16 papers shown

Title
Quantifying Correlations of Machine Learning Models Yuanyuan Li Neeraj Sarna Yang Lin 85 0 0 06 Feb 2025
Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification Antoine de Mathelin Francois Deheeger Mathilde Mougeot Nicolas Vayatis OOD UQCV 30 2 0 08 Apr 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
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
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 30 1 0 25 Oct 2022
Variational Distillation for Multi-View Learning Xudong Tian Zhizhong Zhang Cong Wang Wensheng Zhang Yanyun Qu Lizhuang Ma Zongze Wu Yuan Xie Dacheng Tao 26 5 0 20 Jun 2022
Improving robustness and calibration in ensembles with diversity regularization H. A. Mehrtens Camila González Anirban Mukhopadhyay UQCV 19 7 0 26 Jan 2022
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 26 0 0 20 Dec 2021
Graph Structure Learning with Variational Information Bottleneck Qingyun Sun Jianxin Li Hao Peng Jia Wu Xingcheng Fu Cheng Ji Philip S. Yu 46 155 0 16 Dec 2021
No One Representation to Rule Them All: Overlapping Features of Training Methods Raphael Gontijo-Lopes Yann N. Dauphin E. D. Cubuk 34 60 0 20 Oct 2021
Orthogonal Ensemble Networks for Biomedical Image Segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante UQCV 18 22 0 22 May 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving Alexander Cui Sergio Casas Abbas Sadat Renjie Liao R. Urtasun 111 128 0 16 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 56 51 0 14 Jan 2021
Diverse Ensembles Improve Calibration Asa Cooper Stickland Iain Murray UQCV FedML 27 26 0 08 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015