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Eduardo Dadalto Camara Gomes

2 accepted papers

2024

Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection

AAAI 2024technical

Out-of-distribution (OOD) detection is a rapidly growing field due to new robustness and security requirements driven by an increased number of AI-based systems. Existing OOD textual detectors often rely on anomaly scores (\textit{e.g.}, Mahalanobis distance) computed on the embedding output of the…

2022

Igeood: An Information Geometry Approach to Out-of-Distribution Detection

ICLR 2022poster

Reliable out-of-distribution (OOD) detection is fundamental to implementing safer modern machine learning (ML) systems. In this paper, we introduce Igeood, an effective method for detecting OOD samples. Igeood applies to any pre-trained neural network, works under various degrees of access to the M…