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08/06/2023
Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection
Failure detection (FD) in AI systems is a crucial safeguard for the depl...
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08/06/2023
Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing
Although AI systems have been applied in various fields and achieved imp...
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08/06/2023
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration
Proper confidence calibration of deep neural networks is essential for r...
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01/29/2023
Confidence-Aware Calibration and Scoring Functions for Curriculum Learning
Despite the great success of state-of-the-art deep neural networks, seve...
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07/20/2021
Learning ULMFiT and Self-Distillation with Calibration for Medical Dialogue System
A medical dialogue system is essential for healthcare service as providi...
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