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Ilya Sutskever
Researcher at OpenAI
Publications - 137
Citations - 294374
Ilya Sutskever is an academic researcher from OpenAI. The author has contributed to research in topics: Artificial neural network & Reinforcement learning. The author has an hindex of 75, co-authored 131 publications receiving 235539 citations. Previous affiliations of Ilya Sutskever include Google & University of Toronto.
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Patent
Trans-lingual representation of text documents
John Platt,Ilya Sutskever +1 more
TL;DR: In this article, a method of creating translingual text representations takes in documents in a first language and in a second language and creates a matrix using the words in the documents to represent which words are present in which language.
Patent
Training a policy neural network and a value neural network
Thore Graepel,Shih-chieh Huang,David Silver,Arthur Guez,Laurent Sifre,Ilya Sutskever,Chris J. Maddison +6 more
TL;DR: In this article, a value neural network is trained to generate a value score for the state of an environment that represents a predicted long-term reward resulting from the environment being in the state.
Patent
Generating target sequences from input sequences using partial conditioning
TL;DR: In this paper, a system can be configured to perform tasks such as converting recorded speech to a sequence of phonemes that represent the speech, translating an input sequence of words in one language into a corresponding sequence of word in another language, or predicting a target sequence that follow an input word in a language (e.g., a language model).
Proceedings ArticleDOI
A simpler unified analysis of budget perceptrons
TL;DR: A unified analysis of both the Forgetron and the Randomized Budget Perceptron algorithms is proposed by observing that the way in which they remove support vectors can be seen as types of L2-regularization.