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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
Poster
Tue 1:00 Calibration tests beyond classification
David Widmann · Fredrik Lindsten · Dave Zachariah
Poster
Mon 9:00 Uncertainty Sets for Image Classifiers using Conformal Prediction
Anastasios Angelopoulos · Stephen Bates · Michael Jordan · Jitendra Malik
Poster
Thu 9:00 Uncertainty in Gradient Boosting via Ensembles
Andrey Malinin · Liudmila Prokhorenkova · Aleksei Ustimenko
Poster
Tue 1:00 Activation-level uncertainty in deep neural networks
Pablo Morales-Alvarez · Daniel Hernández-Lobato · Rafael Molina · José Miguel Hernández Lobato
Poster
Tue 9:00 Uncertainty Estimation in Autoregressive Structured Prediction
Andrey Malinin · Mark Gales
Poster
Thu 1:00 Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Namyeong Kwon · Hwidong Na · Gabriel Huang · Simon Lacoste-Julien
Poster
Thu 17:00 Calibration of Neural Networks using Splines
Kartik Gupta · Amir Rahimi · Thalaiyasingam Ajanthan · Thomas Mensink · Cristian Sminchisescu · Richard Hartley
Poster
Wed 17:00 Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
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
Spotlight
Mon 13:20 Uncertainty Sets for Image Classifiers using Conformal Prediction
Anastasios Angelopoulos · Stephen Bates · Michael Jordan · Jitendra Malik