Do Autoencoders Need a Bottleneck for Anomaly Detection?
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192134
Abstract: A common belief in designing deep autoencoders (AEs), a type of unsupervised neural network, is that a bottleneck is required to prevent learning the identity function. Learning the identity function renders the AEs useless for… read more here.
Keywords: detection; anomaly detection; non bottlenecked; bottlenecked aes ... See more keywords
Regulatory T Cells: Regulation of Identity and Function
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Immunology"
DOI: 10.3389/fimmu.2021.750542
Abstract: T regulatory cells suppress a variety of immune responses to self-antigens and play a role in peripheral tolerance maintenance by limiting autoimmune disorders, and other pathological immune responses such as limiting immune reactivity to oncoprotein… read more here.
Keywords: regulation identity; cells regulation; regulatory cells; function ... See more keywords