Confidence-aware calibration and scoring functions for curriculum learning. - Shuang Ao; Stefan Rueger; Advaith Siddharthan (ICMV, 2022)

Motion vectors and deep neural networks for video camera traps. - Miklas Riechmann; Ross Gardiner; Kai Waddington; Ryan Rueger; Frederic Fol Leymarie; Stefan Rueger (Ecol. Informatics, 2022)

Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection. - Shuang Ao; Stefan Rueger; Advaith Siddharthan (AISafety/SafeRL@IJCAI, 2023)

Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration. - Shuang Ao; Stefan Rueger; Advaith Siddharthan (UAI, 2023)

CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs. - Shuang Ao; Stefan Rueger; Advaith Siddharthan (UAI, 2024)

CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs. - Shuang Ao; Stefan Rueger; Advaith Siddharthan (CoRR, 2024)