model uncertainty

Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022 Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022 Mutual Information Alleviates Hallucinations in Abstractive Summarization EMNLP 2022 NOMU: Neural Optimization-based Model Uncertainty ICML 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NeurIPS 2022 Revisiting Design Choices in Offline Model Based Reinforcement Learning ICLR 2022 SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers COLING 2022 Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty ACL 2022 Improving Classifier Confidence using Lossy Label-Invariant Transformations AISTATS 2021 Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation ACL 2021 Model Uncertainty Guides Visual Object Tracking AAAI 2021 MOOD: Multi-Level Out-of-Distribution Detection CVPR 2021 Online Robust Control of Nonlinear Systems with Large Uncertainty AISTATS 2021 Online Robust Reinforcement Learning with Model Uncertainty NeurIPS 2021 Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding ICML 2021 Reliable Post hoc Explanations: Modeling Uncertainty in Explainability NeurIPS 2021 The Impact of Data on the Stability of Learning-Based Control L4DC 2021 Depth Uncertainty in Neural Networks NeurIPS 2020 Estimating Model Uncertainty of Neural Networks in Sparse Information Form ICML 2020 Estimating predictive uncertainty for rumour verification models ACL 2020 Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions CoRL 2020 Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning L4DC 2020 Learning for Safety-Critical Control with Control Barrier Functions L4DC 2020 Meta-Learning PAC-Bayes Priors in Model Averaging AAAI 2020