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Poster
Wed 9:00 AdaFocal: Calibration-aware Adaptive Focal Loss
Arindam Ghosh · Thomas Schaaf · Matthew Gormley
Poster
Wed 14:00 Uncalibrated Models Can Improve Human-AI Collaboration
Kailas Vodrahalli · Tobias Gerstenberg · James Zou
Poster
Wed 14:00 Towards Consistency in Adversarial Classification
Laurent Meunier · Raphael Ettedgui · Rafael Pinot · Yann Chevaleyre · Jamal Atif
Poster
Wed 14:00 Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
Dandan Guo · Long Tian · He Zhao · Mingyuan Zhou · Hongyuan Zha
Poster
Tue 9:00 Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks
Sizhe Chen · Zhehao Huang · Qinghua Tao · Yingwen Wu · Cihang Xie · Xiaolin Huang
Poster
CalFAT: Calibrated Federated Adversarial Training with Label Skewness
Chen Chen · Yuchen Liu · Xingjun Ma · Lingjuan Lyu
Poster
Thu 9:00 Single Model Uncertainty Estimation via Stochastic Data Centering
Jayaraman Thiagarajan · Rushil Anirudh · Vivek Sivaraman Narayanaswamy · Timo Bremer
Poster
Wed 9:00 Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
Agustinus Kristiadi · Runa Eschenhagen · Philipp Hennig
Poster
Tue 14:00 Understanding Square Loss in Training Overparametrized Neural Network Classifiers
Tianyang Hu · Jun WANG · Wenjia Wang · Zhenguo Li
Poster
Tue 9:00 Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
Songkai Xue · Yuekai Sun · Mikhail Yurochkin
Panel
Tue 17:45 Panel 2B-2: One Positive Label… & Calibrated Data-Dependent Constraints…
Songkai Xue · Ning Xu
Poster
Thu 14:00 Ambiguous Images With Human Judgments for Robust Visual Event Classification
Kate Sanders · Reno Kriz · Anqi Liu · Benjamin Van Durme