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Uncertainty Quantification

805 papers

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Papers

Calibration of Machine Reading Systems at Scale ACL 2022 CARD: Classification and Regression Diffusion Models NeurIPS 2022 Centroid Approximation for Bootstrap: Improving Particle Quality at Inference ICML 2022 Certified Robustness Against Natural Language Attacks by Causal Intervention ICML 2022 Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? EMNLP 2022 Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss AAAI 2022 Conformal Prediction with Temporal Quantile Adjustments NeurIPS 2022 Conformal Predictor for Improving Zero-Shot Text Classification Efficiency EMNLP 2022 Context Uncertainty in Contextual Bandits with Applications to Recommender Systems AAAI 2022 D2U: Distance-to-Uniform Learning for Out-of-Scope Detection NAACL 2022 Deep Ensembles Work, But Are They Necessary? NeurIPS 2022 Deep Hierarchy in Bandits ICML 2022 Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022 Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model AAAI 2022 Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel NeurIPS 2022 Disentangling Uncertainty in Machine Translation Evaluation EMNLP 2022 Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning ACL 2022 Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022 Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates AAAI 2022 Double Spike Dirichlet Priors for Structured Weighting JMLR 2022 Dynamic CNNs Using Uncertainty To Overcome Domain Generalization for Surgical Instrument Localization WACV 2022 EasySED: Trusted Sound Event Detection with Self-Distillation AAAI 2022 Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity ICML 2022 Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification NeurIPS 2022 End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks Interspeech 2022