Uncertainty Quantification

Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs IJCAI 2021 Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021 T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP ICML 2021 Types of Out-of-Distribution Texts and How to Detect Them EMNLP 2021 UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks AAAI 2021 UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching ICCV 2021 Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training EMNLP 2021 Uncertainty-aware Binary Neural Networks IJCAI 2021 Uncertainty-Aware Machine Translation Evaluation EMNLP 2021 Uncertainty Calibration for Ensemble-Based Debiasing Methods NeurIPS 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021 Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning ICML 2021 Understanding Failures in Out-of-Distribution Detection with Deep Generative Models ICML 2021 Understanding the Under-Coverage Bias in Uncertainty Estimation NeurIPS 2021 Weakly-supervised Temporal Action Localization by Uncertainty Modeling AAAI 2021 When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting NeurIPS 2021 Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation UAI 2020 Bayesian Graph Neural Networks with Adaptive Connection Sampling ICML 2020 Bayesian Reinforcement Learning via Deep, Sparse Sampling AISTATS 2020 Being Bayesian about Categorical Probability ICML 2020 Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties NeurIPS 2020 Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors AAAI 2020 Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation AISTATS 2020 Calibrated Reliable Regression using Maximum Mean Discrepancy NeurIPS 2020