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Poster
Tue 9:00 Uncertainty-aware Active Learning for Optimal Bayesian Classifier
Guang Zhao · Edward Dougherty · Byung-Jun Yoon · Francis Alexander · Xiaoning Qian
Poster
Thu 17:00 In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve · Kevin Duarte · Yogesh S Rawat · Mubarak Shah
Spotlight
Mon 13:20 Uncertainty Sets for Image Classifiers using Conformal Prediction
Anastasios Angelopoulos · Stephen Bates · Michael Jordan · Jitendra Malik
Poster
Thu 17:00 Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
Ali Harakeh · Steven L Waslander
Workshop
$\delta$-CLUE: Diverse Sets of Explanations for Uncertainty Estimates
Dan Ley · Umang Bhatt · Adrian Weller
Poster
Mon 1:00 Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
Cheng Wang · Carolin Lawrence · Mathias Niepert
Poster
Wed 17:00 Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
Workshop
Incorporating Label Uncertainty in Intrinsic Robustness Measures
Xiao Zhang
Poster
Thu 17:00 Calibration of Neural Networks using Splines
Kartik Gupta · Amir Rahimi · Thalaiyasingam Ajanthan · Thomas Mensink · Cristian Sminchisescu · Richard Hartley
Poster
Thu 17:00 Combining Ensembles and Data Augmentation Can Harm Your Calibration
Yeming Wen · Ghassen Jerfel · Rafael Müller · Michael W Dusenberry · Jasper Snoek · Balaji Lakshminarayanan · Dustin Tran
Oral
Wed 4:05 Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán · Umang Bhatt · Tameem Adel · Adrian Weller · José Miguel Hernández Lobato
Poster
Thu 9:00 Uncertainty in Gradient Boosting via Ensembles
Andrey Malinin · Liudmila Prokhorenkova · Aleksei Ustimenko