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Uncertainty Quantification

746 papers

Papers per year

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68
163
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Papers

On the Uncertainty of Self-Supervised Monocular Depth Estimation CVPR 2020
Computing Valid P-Values for Image Segmentation by Selective Inference CVPR 2020
Data Uncertainty Learning in Face Recognition CVPR 2020
Uncertainty Based Camera Model Selection CVPR 2020
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End CVPR 2020
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data CVPR 2020
Uncertainty-Aware Score Distribution Learning for Action Quality Assessment CVPR 2020
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation EMNLP 2020
Towards More Accurate Uncertainty Estimation In Text Classification EMNLP 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling ICML 2020
Parametric Gaussian Process Regressors ICML 2020
Being Bayesian about Categorical Probability ICML 2020
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation ICML 2020
Estimating Model Uncertainty of Neural Networks in Sparse Information Form ICML 2020
Training Binary Neural Networks using the Bayesian Learning Rule ICML 2020
Confidence-Aware Learning for Deep Neural Networks ICML 2020
Detecting Out-of-Distribution Examples with Gram Matrices ICML 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network ICML 2020
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks IJCAI 2020
Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models IJCAI 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
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020
Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications JMLR 2020