Uncertainty Quantification
805 papers
Papers per year
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1
1
2
4
8
2
2
5
13
29
69
54
99
127
172
186
29
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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