deep ensemble

Uncertainty Estimation in Instance Segmentation With Star-Convex Shapes WACV 2024 A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods NeurIPS 2023 Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NeurIPS 2023 Convex Bounds on the Softmax Function with Applications to Robustness Verification AISTATS 2023 Deep Ensembles for Graphs with Higher-order Dependencies ICLR 2023 Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023 Joint Training of Deep Ensembles Fails Due to Learner Collusion NeurIPS 2023 Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles L4DC 2023 Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries ICML 2023 On the role of model uncertainties in Bayesian optimisation UAI 2023 Packed Ensembles for efficient uncertainty estimation ICLR 2023 Robustness to corruption in pre-trained Bayesian neural networks ICLR 2023 Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data ICML 2023 Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification NeurIPS 2023 Traversing Between Modes in Function Space for Fast Ensembling ICML 2023 Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models ICCV 2023 Composite Feature Selection Using Deep Ensembles NeurIPS 2022 Deep Combinatorial Aggregation NeurIPS 2022 Deep Ensembles Work, But Are They Necessary? NeurIPS 2022 Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity ICLR 2022 Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel NeurIPS 2022 Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022 Practical uncertainty quantification for brain tumor segmentation MIDL 2022 Self-distribution distillation: efficient uncertainty estimation UAI 2022 Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021