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11 Results
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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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Poster
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Mon 9:00 |
PAC Confidence Predictions for Deep Neural Network Classifiers Sangdon Park · Shuo Li · Insup Lee · Osbert Bastani |
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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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Poster
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Tue 1:00 |
Calibration tests beyond classification David Widmann · Fredrik Lindsten · Dave Zachariah |
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Poster
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Tue 1:00 |
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing Asish Ghoshal · Xilun Chen · Sonal Gupta · Luke Zettlemoyer · Yashar Mehdad |
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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 9:00 |
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning Kanil Patel · William H Beluch · Bin Yang · Michael Pfeiffer · Dan Zhang |
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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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Thu 1:00 |
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang · Lu Liu · Min Xu |
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Oral
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Mon 3:15 |
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang · Lu Liu · Min Xu |
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Workshop
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Fri 16:01 |
Contributed Talk 5 - On Calibration and Out-of-Domain Generalization Yoav Wald |