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Uncertainty Quantification

663 directly classified papers

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Papers

Calibrating Structured Output Predictors for Natural Language Processing ACL 2020
Transferable Calibration with Lower Bias and Variance in Domain Adaptation NIPS 2020
Calibrated Reliable Regression using Maximum Mean Discrepancy NIPS 2020
Certifiably Adversarially Robust Detection of Out-of-Distribution Data NIPS 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models NIPS 2020
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples NIPS 2020
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties NIPS 2020
Uncertainty Quantification for Inferring Hawkes Networks NIPS 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification NIPS 2020
Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models IJCAI 2020
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks IJCAI 2020
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data CVPR 2020
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End CVPR 2020
Uncertainty Based Camera Model Selection CVPR 2020
Improving Confidence Estimates for Unfamiliar Examples CVPR 2020
Ensemble Approaches for Uncertainty in Spoken Language Assessment INTERSPEECH 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification INTERSPEECH 2020
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty INTERSPEECH 2020
Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020
Estimating predictive uncertainty for rumour verification models ACL 2020
Being Bayesian about Categorical Probability ICML 2020
GaSPing for Utility AAAI 2020
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles AAAI 2020
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes AAAI 2020
Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning AAAI 2020