neural network ensemble

Ensemble Distribution Distillation via Flow Matching ICML 2025 Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles WACV 2025 Safe, Out-of-Distribution-Adaptive MPC with Conformalized Neural Network Ensembles L4DC 2025 Anatomically Constrained Implicit Face Models CVPR 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 DOFEN: Deep Oblivious Forest ENsemble NeurIPS 2024 Deep Ranking Ensembles for Hyperparameter Optimization ICLR 2023 Rahul Patil at SemEval-2023 Task 1: V-WSD: Visual Word Sense Disambiguation SemEval 2023 Traversing Between Modes in Function Space for Fast Ensembling ICML 2023 Diversity and Generalization in Neural Network Ensembles AISTATS 2022 DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning ICML 2022 Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis MLHC 2022 Feature Space Particle Inference for Neural Network Ensembles ICML 2022 Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation ICML 2022 Maximizing Ensemble Diversity in Deep Reinforcement Learning ICLR 2022 Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm NeurIPS 2022 Neural ensemble search via Bayesian sampling UAI 2022 Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics CVPR 2021 Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021 DIBS: Diversity Inducing Information Bottleneck in Model Ensembles AAAI 2021 Learning Neural Network Subspaces ICML 2021 Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks IJCAI 2020 Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles UAI 2020 The Diversified Ensemble Neural Network NeurIPS 2020 Uncertainty in Neural Networks: Approximately Bayesian Ensembling AISTATS 2020