deep ensemble

DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation ICLR 2021 Diversity Matters When Learning From Ensembles NeurIPS 2021 LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021 Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling ICML 2021 Masksembles for Uncertainty Estimation CVPR 2021 Repulsive Deep Ensembles are Bayesian NeurIPS 2021 Robustness via Cross-Domain Ensembles ICCV 2021 Sparse Uncertainty Representation in Deep Learning with Inducing Weights NeurIPS 2021 Uncertainty-Aware Machine Translation Evaluation EMNLP 2021 Uncertainty Quantification and Deep Ensembles NeurIPS 2021 What Are Bayesian Neural Network Posteriors Really Like? ICML 2021 Bayesian Deep Learning and a Probabilistic Perspective of Generalization NeurIPS 2020 Conservative Uncertainty Estimation By Fitting Prior Networks ICLR 2020 Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Interspeech 2020 Hyperparameter Ensembles for Robustness and Uncertainty Quantification NeurIPS 2020 Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles AAAI 2020 On Power Laws in Deep Ensembles NeurIPS 2020 Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness NeurIPS 2020 Uncertainty Estimation Using a Single Deep Deterministic Neural Network ICML 2020 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017 Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles NeurIPS 2016