conftrace_

deep ensemble

52 papers

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DE

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uncertainty quantification (1393) uncertainty estimation (648) ensemble learning (1274) out-of-distribution detection (617) neural network (6616) bayesian neural network (201) variational inference (2069) model diversity (19) model calibration (232) monte carlo dropout (54)

Papers

Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel NIPS 2022
Deep Ensembles Work, But Are They Necessary? NIPS 2022
Composite Feature Selection Using Deep Ensembles NIPS 2022
Deep Combinatorial Aggregation NIPS 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022
Self-distribution distillation: efficient uncertainty estimation UAI 2022
DeepBlueAI at SemEval-2021 Task 1: Lexical Complexity Prediction with A Deep Ensemble Approach ACL 2021
What Are Bayesian Neural Network Posteriors Really Like? ICML 2021
Robustness via Cross-Domain Ensembles ICCV 2021
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling ICML 2021
Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021
Uncertainty-Aware Machine Translation Evaluation EMNLP 2021
Masksembles for Uncertainty Estimation CVPR 2021
Repulsive Deep Ensembles are Bayesian NIPS 2021
Sparse Uncertainty Representation in Deep Learning with Inducing Weights NIPS 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
Uncertainty Quantification and Deep Ensembles NIPS 2021
Diversity Matters When Learning From Ensembles NIPS 2021
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles AAAI 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network ICML 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization NIPS 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification NIPS 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness NIPS 2020
On Power Laws in Deep Ensembles NIPS 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification INTERSPEECH 2020