predictive uncertainty

On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study EMNLP 2023 Probabilistic Imputation for Time-series Classification with Missing Data ICML 2023 Smoothed Online Combinatorial Optimization Using Imperfect Predictions AAAI 2023 Uncertainty Estimation for Connectionist Temporal Classification Based Automatic Speech Recognition Interspeech 2023 Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection EMNLP 2023 Variational Boosted Soft Trees AISTATS 2023 Answer Uncertainty and Unanswerability in Multiple-Choice Machine Reading Comprehension ACL 2022 Autoinverse: Uncertainty Aware Inversion of Neural Networks NeurIPS 2022 Autoregressive Quantile Flows for Predictive Uncertainty Estimation ICLR 2022 Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022 Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts NeurIPS 2022 Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity EMNLP 2022 Fast predictive uncertainty for classification with Bayesian deep networks UAI 2022 Improving Evidential Deep Learning via Multi-Task Learning AAAI 2022 JAWS: Auditing Predictive Uncertainty Under Covariate Shift NeurIPS 2022 TACTiS: Transformer-Attentional Copulas for Time Series ICML 2022 Tractable Function-Space Variational Inference in Bayesian Neural Networks NeurIPS 2022 Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture NeurIPS 2022 Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NeurIPS 2022 Bayesian Deep Learning via Subnetwork Inference ICML 2021 Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021 Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing EMNLP 2021 Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models NeurIPS 2021 Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors ICLR 2021 Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties AISTATS 2021