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Poster
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Wed 4:30
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Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
Dapeng Hu · Jian Liang · Xinchao Wang · Chuan-Sheng Foo
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Poster
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Tue 4:30
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Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications
Jiashuo Liu · Jiayun Wu · Tianyu Wang · Hao Zou · Bo Li · Peng Cui
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Poster
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Thu 4:30
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T-Cal: An Optimal Test for the Calibration of Predictive Models
Donghwan Lee · Xinmeng Huang · Hamed Hassani · Edgar Dobriban
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Poster
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Thu 2:30
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Revisit the Essence of Distilling Knowledge through Calibration
Wen-Shu Fan · Su Lu · Xin-Chun Li · De-Chuan Zhan · Le Gan
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Poster
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Tue 2:30
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IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
Taejong Joo · Diego Klabjan
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Poster
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Wed 2:30
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Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks
Mikkel Jordahn · Pablo Olmos
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Poster
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Wed 4:30
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Beyond the Calibration Point: Mechanism Comparison in Differential Privacy
Georgios Kaissis · Stefan Kolek · Borja de Balle Pigem · Jamie Hayes · Daniel Rueckert
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Poster
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Thu 4:30
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An Effective Dynamic Gradient Calibration Method for Continual Learning
Weichen Lin · Jiaxiang Chen · Ruomin Huang · Hu Ding
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Poster
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Thu 4:30
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FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
Hongyi Peng · Han Yu · Xiaoli Tang · Xiaoxiao Li
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Poster
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Tue 4:30
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Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
Shi-ang Qi · Yakun Yu · Russell Greiner
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Poster
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Tue 4:30
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Open-Vocabulary Calibration for Fine-tuned CLIP
Shuoyuan Wang · Jindong Wang · Guoqing Wang · Bob Zhang · Kaiyang Zhou · Hongxin Wei
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Poster
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Thu 4:30
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Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
Lujing Zhang · Aaron Roth · Linjun Zhang
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