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Anomaly Detection
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Anomaly Detection
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection
Deployed machine learning systems require some mechanism to detect out-of-distribution (OOD) inputs. Existing research mainly focuses …
Charles Guille-Escuret
,
Pierre-André Noël
,
Ioannis Mitliagkas
,
David Vazquez
,
João Monteiro
NeurIPS Datasets and Benchmarks Track (NeurIPS Datasets), 2024.
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Leveraging Activation Patterns to Define Classifiers Able to Detect and Reject Anomalies
In this work, we introduce models that perform comparably with state-of-the-art alternatives in terms of prediction accuracy while …
João Monteiro
,
Pau Rodriguez
,
Pierre-André Noël
,
Issam H. Laradji
,
David Vazquez
Montreal AI Symposium (MAIS), 2022.
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