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On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques
Out-of-distribution data and anomalous inputs are vulnerabilities of machine learning systems today, often causing systems to make incorrect predictions.
UserReg: A Simple but Strong Model for Rating Prediction
We compare the effectiveness of UserReg with three linear CF models that are widely-used as baselines, and with a set of recently proposed complex models that are based on deep learning or graph techniques.
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