Anomaly detection is a technique used to identify uncommon patterns or events in data. It is a form of unsupervised learning that is used to detect outliers, rare events, and anomalies in data sets.
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K-fold cross-validation is an important machine learning technique used in model selection and assessment. It is a technique that allows data to be split into a training and a test set multiple times, with each fold used once as the test set.
This week stable diffusion launched their version 2.0. As compared to the original V1, Stable Diffusion 2.0 offers a number of significant improvements and features
Rice's theorem is a fundamental result in computer science that states that any non-trivial property of the language of a Turing machine is undecidable.
EDGE is a method for editable dance generation that is capable of creating realistic, physically-plausible dances while remaining faithful to arbitrary input music.
The term “superintelligence” is used to describe a hypothetical future artificial intelligence (AI) that is far more intelligent than the best human minds.
Plug and Play Active Learning for Object Detection Paper by: Chenhongyi Yang, Lichao Huang, Elliot J. Crowley This paper discusses a new active learning algorithm, Plug and Play Active Learning (PPAL), which overcomes the difficulties of previous active learning algorithms when it comes to object detection. PPAL consists of * Difficulty...