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A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.
The generation effect is typically achieved in cognitive psychology experiments by asking participants to generate words from word fragments. [2] This effect has also been demonstrated using a variety of other materials, such as when generating a word after being presented with its antonym, [3] synonym, [1] picture, [4] arithmetic problems, [2] [5] or keyword in a paragraph. [6]
For example, GPT-3, and its precursor GPT-2, [11] are auto-regressive neural language models that contain billions of parameters, BigGAN [12] and VQ-VAE [13] which are used for image generation that can have hundreds of millions of parameters, and Jukebox is a very large generative model for musical audio that contains billions of parameters.
Martin Anthony Conway [a] (18 August 1952 – 30 March 2022) was a British psychologist and psychoanalyst focusing on the study of autobiographical memory, [3] [4] as well as the interactions between human memory and the law. [5] He served as head of the psychology department, City, University of London before his passing.
Autobiographical memory (AM) [1] is a memory system consisting of episodes recollected from an individual's life, based on a combination of episodic (personal experiences and specific objects, people and events experienced at particular time and place) [2] and semantic (general knowledge and facts about the world) memory. [3]
Concentrating on a task, one aspect of flow. Flow in positive psychology, also known colloquially as being in the zone or locked in, is the mental state in which a person performing some activity is fully immersed in a feeling of energized focus, full involvement, and enjoyment in the process of the activity.
According to the Atkinson-Shiffrin memory model or multi-store model, for information to be firmly implanted in memory it must pass through three stages of mental processing: sensory memory, short-term memory, and long-term memory. [7] An example of this is the working memory model. This includes the central executive, phonologic loop, episodic ...
Generative grammar promotes a modular view of the mind, considering language as an autonomous mind module. Thus, language is separated from mathematical logic to the extent that inference cannot explain language acquisition. [13] The generative conception of human cognition is also influential in cognitive psychology and computer science. [14]