Meta-learning is a subfield of machine learning where automatic learning algorithms are applied to metadata about machine learning experiments. As of 2017...

Meta announced an update to Meta AI on the smart glasses to enable multimodal input via Computer vision. On July 23, 2024, Meta announced that Meta AI...

Meta-learning (computer science) Multivariate analysis Radial basis function network Weak supervision Wu, Wei. "Unsupervised Learning" (PDF). Archived...

previous machine learning approaches in performance. ML finds application in many fields, including natural language processing, computer vision, speech...

intelligence, and computer science. It encompasses several domains including learning theory, computer-based training, online learning, and m-learning where mobile...

Announcement)". Cyber Security Cryptography and Machine Learning. Lecture Notes in Computer Science. Vol. 11527. pp. 202–207. doi:10.1007/978-3-030-20951-3_18...

Fundamental areas of computer science Computer science is the study of computation, information, and automation. Computer science spans theoretical disciplines...

compares 'meta-learning approaches to active learning' to 'traditional heuristic-based Active Learning' may give intuitions if 'Learning active learning' is...

include hyperparameter optimization, meta-learning and neural architecture search. In a typical machine learning application, practitioners have a set...

topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study...

Computer-assisted language learning (CALL), known as computer-aided instruction (CAI) in British English and computer-aided language instruction (CALI)...

8 July 1960) is a French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational...

Computer-supported collaborative learning (CSCL) is a pedagogical approach wherein learning takes place via social interaction using a computer or through...

computer science at Courant Institute of Mathematical Sciences at New York University (NYU) and a research scientist at DeepMind. He co-founded Meta AI...

for ontology matching; and the support of meta-ontologies such as OWL-S, Dublin Core, etc. Ontology learning is the automatic or semi-automatic creation...

"Experiments in Meta-level Learning with ILP". Principles of Data Mining and Knowledge Discovery. Lecture Notes in Computer Science. Vol. 1704. pp. 98–106...

the 2010s. He also introduced principles of dynamic neural networks, meta-learning, generative adversarial networks and linear transformers, all of which...

Metalearning Metaprogramming (in computer science) Metahistory (concept) Metahistory, a book by Hayden White Meta-philosophy Meta-epistemology Metalogic Metamathematics...

Precision farming uses machine learning and data from satellites, drones and sensors to water, fertilize and manage pests. Computer vision helps keep an eye...

its use in the book Structure and Interpretation of Computer Programs. A self-interpreter is a meta-circular interpreter where the host language is also...

Principle, 4) Semiotic Domain, 5) Meta-level Thinking, 6) Psychosocial Moratorium Principle, 7) Committed Learning Principle 8) Identity Principle, 9)...

originally developed by Meta AI and now part of the Linux Foundation umbrella. It is one of the most popular deep learning frameworks, alongside others...

In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update...

In computer programming, a software framework is a software abstraction that provides generic functionality which developers can extend with custom code...

subjects. Active learning encourages learners to have an internal dialogue in which they verbalize understandings. This and other meta-cognitive strategies...

Intelligence, Lecture Notes in Computer Science, vol. 7006, Springer, pp. 335–346, ISBN 978-3-642-24455-1 "Reinforcement learning: An introduction" (PDF). Archived...

domains in machine learning, including natural language processing tasks such as text summarization and conversational agents, computer vision tasks like...

professor in the Carnegie Mellon School of Computer Science, he was founding director of the Center for Machine Learning and Health at Carnegie Mellon University...

In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and...

This is a list of computer scientists, people who do work in computer science, in particular researchers and authors. Some persons notable as programmers...