Essays about: "Out-of-distribution detektion"
Found 2 essays containing the words Out-of-distribution detektion.
1. Evaluating Unsupervised Methods for Out-of-Distribution Detection on Semantically Similar Image DataUniversity essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)
Abstract : Out-of-distribution detection considers methods used to detect data that deviates from the underlying data distribution used to train some machine learning model. This is an important topic, as artificial neural networks have previously been shown to be capable of producing arbitrarily confident predictions, even for anomalous samples that deviate from the training distribution. READ MORE
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)
Abstract : Significant progress has been made within human face synthesis due to recent advances in generative adversarial networks. These networks can be used to generate credible high-quality images of faces not belonging to real people, which is something that could be exploited by malicious actors. READ MORE