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Poster
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Wed 14:00 |
Uncalibrated Models Can Improve Human-AI Collaboration Kailas Vodrahalli · Tobias Gerstenberg · James Zou |
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Poster
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Wed 9:00 |
AdaFocal: Calibration-aware Adaptive Focal Loss Arindam Ghosh · Thomas Schaaf · Matthew Gormley |
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Poster
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Wed 14:00 |
Towards Consistency in Adversarial Classification Laurent Meunier · Raphael Ettedgui · Rafael Pinot · Yann Chevaleyre · Jamal Atif |
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Poster
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Tue 9:00 |
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees Songkai Xue · Yuekai Sun · Mikhail Yurochkin |
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Poster
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Wed 14:00 |
Robust Calibration with Multi-domain Temperature Scaling Yaodong Yu · Stephen Bates · Yi Ma · Michael Jordan |
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Poster
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Wed 14:00 |
Robust Models are less Over-Confident Julia Grabinski · Paul Gavrikov · Janis Keuper · Margret Keuper |
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Poster
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Tue 14:00 |
A Consistent and Differentiable Lp Canonical Calibration Error Estimator Teodora Popordanoska · Raphael Sayer · Matthew Blaschko |
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Poster
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Tue 14:00 |
Understanding Square Loss in Training Overparametrized Neural Network Classifiers Tianyang Hu · Jun WANG · Wenjia Wang · Zhenguo Li |
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Poster
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Wed 14:00 |
Introspective Learning : A Two-Stage approach for Inference in Neural Networks Mohit Prabhushankar · Ghassan AlRegib |
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Poster
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Thu 14:00 |
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir · Muhammad Haris Khan · M. Sarfraz · Mohsen Ali |
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Poster
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Wed 9:00 |
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Agustinus Kristiadi · Runa Eschenhagen · Philipp Hennig |
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Poster
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What Makes Graph Neural Networks Miscalibrated? Hans Hao-Hsun Hsu · Yuesong Shen · Christian Tomani · Daniel Cremers |