G
Geoffrey E. Hinton
Researcher at Google
Publications - 426
Citations - 501778
Geoffrey E. Hinton is an academic researcher from Google. The author has contributed to research in topics: Artificial neural network & Generative model. The author has an hindex of 157, co-authored 414 publications receiving 409047 citations. Previous affiliations of Geoffrey E. Hinton include Canadian Institute for Advanced Research & Max Planck Society.
Papers
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Book ChapterDOI
Learning Translation Invariant Recognition in Massively Parallel Networks
TL;DR: This paper describes a recently developed procedure that can learn to perform a recognition task and uses canonical internal representations of the patterns to identify familiar patterns in novel positions.
Proceedings Article
Using Fast Weights to Attend to the Recent Past
TL;DR: Fast weights as discussed by the authors can be used to store temporary memories of the recent past and they provide a neurally plausible way of implementing the type of attention to the past that has recently proven helpful in sequence-to-sequence models.
Journal ArticleDOI
Using expectation-maximization for reinforcement learning
Peter Dayan,Geoffrey E. Hinton +1 more
TL;DR: It is shown circumstances under which applying the RPP is guaranteed to increase the mean return, even though it can make large changes in the values of the parameters.
Journal ArticleDOI
Some Demonstrations of the Effects of Structural Descriptions in Mental Imagery
TL;DR: In this article, it is argued that complex objects are assigned hierarchical structural descriptions by being parsed into parts, each of which has its own local system of significant directions, and that the difficulty of certain mental imagery tasks is dependent on which of the alternative structural descriptions of an object is used, and interpreted as evidence that structural descriptions are an important component of mental images.