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Poster
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Tue 9:00 |
Uncertainty-aware Active Learning for Optimal Bayesian Classifier Guang Zhao · Edward Dougherty · Byung-Jun Yoon · Francis Alexander · Xiaoning Qian |
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Poster
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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 |
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Spotlight
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Mon 13:20 |
Uncertainty Sets for Image Classifiers using Conformal Prediction Anastasios Angelopoulos · Stephen Bates · Michael Jordan · Jitendra Malik |
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Poster
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Thu 17:00 |
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors Ali Harakeh · Steven L Waslander |
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Workshop
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$\delta$-CLUE: Diverse Sets of Explanations for Uncertainty Estimates Dan Ley · Umang Bhatt · Adrian Weller |
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Poster
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Mon 1:00 |
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs Cheng Wang · Carolin Lawrence · Mathias Niepert |
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Poster
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Wed 17:00 |
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay |
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Workshop
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Incorporating Label Uncertainty in Intrinsic Robustness Measures Xiao Zhang |
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Poster
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Thu 17:00 |
Calibration of Neural Networks using Splines Kartik Gupta · Amir Rahimi · Thalaiyasingam Ajanthan · Thomas Mensink · Cristian Sminchisescu · Richard Hartley |
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Poster
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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 |
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Oral
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Wed 4:05 |
Getting a CLUE: A Method for Explaining Uncertainty Estimates Javier Antorán · Umang Bhatt · Tameem Adel · Adrian Weller · José Miguel Hernández Lobato |
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Poster
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Thu 9:00 |
Uncertainty in Gradient Boosting via Ensembles Andrey Malinin · Liudmila Prokhorenkova · Aleksei Ustimenko |