Ilya Sutskever, OpenAI, Co-founder and Chief Scientist of OpenAI. 11/09/2016 ∙ by Yan Duan, et al. ∙ ∙ 0 OpenAI. ∙ share, Transformers are powerful sequence models, but require time and memory t... 11/08/2016 ∙ by Xi Chen, et al. c... ∙ share, Sequence-to-sequence models with soft attention had significant success ... ∙ Learning, Emergent Complexity via Multi-Agent Competition, Continuous Adaptation via Meta-Learning in Nonstationary and Competitive ∙ Environments, An online sequence-to-sequence model for noisy speech recognition, Learning to Generate Reviews and Discovering Sentiment, Evolution Strategies as a Scalable Alternative to Reinforcement Learning, RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning, Extensions and Limitations of the Neural GPU, Learning Online Alignments with Continuous Rewards Policy Gradient, Improving Variational Inference with Inverse Autoregressive Flow, InfoGAN: Interpretable Representation Learning by Information Maximizing To view Ilya Sutskever’s complete investments history, request access », To view Ilya Sutskever’s complete team members history, request access », You’re viewing 5 of 35 co-investors. ∙ 0 0 ICML (3) 2013 : 1139-1147 ... Menu. ∙ share, Ability to continuously learn and adapt from limited experience in 2 He is a Computer science and mathematics graduate from University of Toronto. ∙ ∙ ∙ share, Deep neural networks are highly expressive models that have recently ach... 0 06/16/2017 ∙ by Chung-Cheng Chiu, et al. ∙ ∙ Ilya Sutskever received his PhD in 2012 from the University of Toronto working with Geoffrey Hinton. share, Deep feedforward and recurrent networks have achieved impressive results... share, Deep Neural Networks (DNNs) are powerful models that have achieved excel... Generative Adversarial Nets, TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed 73, When Machine Learning Meets Privacy: A Survey and Outlook, 11/24/2020 ∙ by Bo Liu ∙ Ilya Sutskever. di... ∙ Mathematics Subject Classification: 68—Computer science . [1] He has made several major contributions to the field of deep learning. Ilya Sutskever, OpenAI, Co-founder and Chief Scientist of OpenAI. Ilya Sutskever1 ilyasu@google.com James Martens jmartens@cs.toronto.edu George Dahl gdahl@cs.toronto.edu Geo rey Hinton hinton@cs.toronto.edu Abstract Deep and recurrent neural networks (DNNs and RNNs respectively) are powerful mod-els that were considered to be almost impos-sible to train using stochastic gradient de-scent with momentum. He is the co-inventor of AlexNet, a convolutional neural network. ∙ After completing his PhD, he cofounded DNNResearch with Geoffrey Hinton and Alex Krizhevsky which was acquired by Google. US One Rogers Street Cambridge, MA 02142-1209. 12/16/2013 ∙ by David Eigen, et al. ∙ share, This paper describes InfoGAN, an information-theoretic extension to the See: word2vec, Word Embedding Algorithm, Text Sequence Probability Function, bAbI Project, Neural Sequence-to-Sequence Learning. followers ∙ ... T Mikolov, I Sutskever, K Chen, GS Corrado, J Dean. Ilya Sutskever. 06/27/2012 ∙ by James Martens, et al. ∙ ∙ From GM-RKB (Redirected from Sutskever) Jump to: navigation, search. 03/06/2017 ∙ by Bradly C. Stadie, et al. Movies. While their expressiveness is the reason they succeed, it also causes them to learn uninterpretable solutions that could have counter-intuitive properties. Release Calendar DVD & Blu-ray Releases Top Rated Movies Most Popular Movies Browse Movies by Genre Top Box Office Showtimes & Tickets Showtimes & Tickets In Theaters Coming Soon Coming Soon … ∙ 11/19/2015 ∙ by Ilya Sutskever, et al. 09/07/2020 ∙ by Stanislas Polu, et al. 0 He is interested in all aspects of neural networks and their applications. OpenAI, Pieter Abbeel. ImageNet … share, Imitation learning has been commonly applied to solve different tasks in... ∙ 0 share, General unsupervised learning is a long-standing conceptual problem in 73, Digital Twins: State of the Art Theory and Practice, Challenges, and 04/05/2017 ∙ by Alec Radford, et al. nonst... ben... ∙ 33 share, A promising class of generative models maps points from a simple distrib... ∙ Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton Abstract

We trained a large, deep convolutional neural network to classify the 1.3 million high-resolution images in the LSVRC-2010 ImageNet training set into the 1000 different classes. ∙ Google 12/23/2014 ∙ by Oriol Vinyals, et al. AI Frontiers 5,019 views. Ilya Sutskever . Deep, Narrow Sigmoid Belief Networks Are Universal Approximators. 0 ∙ 0 December 2017 NIPS'17: Proceedings of the 31st International Conference on Neural Information Processing Systems. Previously he served as Research Scientist at Google. 0 He is the co-inventor of the renowned neural network AlexNet. He has made several major contributions to the field of deep learning.He is the co-inventor, with Alexander Krizhevsky and Geoffrey Hinton, of AlexNet, a convolutional neural network. ∙ share, The recently introduced continuous Skip-gram model is an efficient metho... 0 Compositionality, Exploiting Similarities among Languages for Machine Translation, Improving neural networks by preventing co-adaptation of feature 03/21/2017 ∙ by Yan Duan, et al. 03/14/2016 ∙ by Martín Abadi, et al. And in the beginning, I was a student in the Machine Learning group of Toronto, working with Geoffrey Hinton. We’re releasing a new batch of seven unsolved problems which have come up in the course of our research at OpenAI. detectors, Estimating the Hessian by Back-propagating Curvature. 0 Ilya Sutskever at AI Frontiers 2018: Recent Advances in Deep Learning and AI from OpenAI - Duration: 49:09. 13 ∙ Ilya Sutskever is an informatics scientist who works in the field of machine learning and currently serves as OpenAI’s Chief Scientist. share, Recent work has demonstrated substantial gains on many NLP tasks and Category: Ilya Sutskever Requests for Research 2.0. Ilya Sutskever is an informatics scientist who works in the field of machine learning and currently serves as OpenAI’s Chief Scientist. share, On April 13th, 2019, OpenAI Five became the first AI system to defeat th... 10/16/2013 ∙ by Tomas Mikolov, et al. In 2015, Sutskever had been nominated for the MIT Technology Review 35 Innovators Under 35. Mr. Ilya Sutskever is a Co-Founder and serves as Chief Scientist & Board Member at OpenAI, which is a non-profit artificial intelligence research company, discovering and enacting the path to safe artificial general intelligence. share, The framework of normalizing flows provides a general strategy for flexi... ... ∙ 0 share, In this work we develop Curvature Propagation (CP), a general technique ... 69, Claim your profile and join one of the world's largest A.I. , And before that, I was a postd Advisor 1: Geoffrey Everest Hinton. 94, Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and software: A systematic literature review, 11/07/2020 ∙ by Elizamary Nascimento ∙ share, Neural Machine Translation (NMT) is a new approach to machine translatio... When ... He and Oriol Vinyals and Quoc Le invented Sequence to Sequence Learning. Ilya Sutskever is a person. share, The Neural GPU is a recent model that can learn algorithms such as ∙ ∙ 05/04/2015 ∙ by Wojciech Zaremba, et al. Benchmarking, 11/15/2020 ∙ by Fabio Pardo ∙ 09/17/2013 ∙ by Tomas Mikolov, et al. communities, © 2019 Deep AI, Inc. | San Francisco Bay Area | All rights reserved. share, Syntactic constituency parsing is a fundamental problem in natural langu... OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. Language Models are Unsupervised Multitask Learners Alec Radford * 1Jeffrey Wu Rewon Child David Luan 1Dario Amodei ** Ilya Sutskever ** 1 Abstract Natural language processing tasks, such as ques-tion answering, machine translation, reading com- share, Generative models have long been the dominant approach for speech No students known. Advances in neural information processing systems, 3111-3119, 2013. share, When a large feedforward neural network is trained on a small training s... Before that, I was a co-founder of DNNresearch. ∙ 04/30/2020 ∙ by Prafulla Dhariwal, et al. share, We consider the problem of exploration in meta reinforcement learning. so... 0 This was a fun but frustrating interview; Sutskever held his cards close to his chest, but we gain some perspective on what he considers to be areas of importance regarding the future of AI and considerations for safely furthering advances in the field. share, Are you a researcher?Expose your workto one of the largestA.I. PitchBook is a financial technology company that provides data on the capital markets. Sutskever is also AlphaGo and TensorFlow co-inventor. 0 06/15/2016 ∙ by Diederik P. Kingma, et al. 10/02/2018 ∙ by Will Grathwohl, et al. Sutskever obtained his B.Sc, M.Sc, and Ph.D. in computer science from the Department of Computer Science at the University of Toronto, under Geoffrey Hinton’s supervision. Ph.D. University of Toronto 2013. 11/16/2015 ∙ by Shixiang Gu, et al. Before, he was research scientist at Google Brain, and co … ∙ ∙ share, Deep reinforcement learning (deep RL) has been successful in learning ∙ Applied Filters. ∙ Ilya Sutskever. ∙ 0 In this episode, we speak with OpenAI’s Ilya Sutskever, research director for the nonprofit organization. 0 0 It paid another leading researcher, Ian Goodfellow, more than $800,000 — … 0 And before that, I was a postdoc in Stanford with Andrew Ng's group. ∙ 0 11/16/2015 ∙ by Arvind Neelakantan, et al. ∙ share, The game of Go is more challenging than other board games, due to the 09/10/2014 ∙ by Ilya Sutskever, et al. In this paper we report two such properties. Learning in NLP, 11/04/2020 ∙ by Julia Kreutzer ∙ 0 share, We show that a variety of modern deep learning tasks exhibit a Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI. ∙ Brown, et al. Ilya Sutskever (left), Alex Krizhevsky (centre), Geoffrey Hinton (right) After graduation in 2012, Sutskever spent two months as a postdoc with Andrew Ng at Stanford University. recogn... Journal Articles by this Author. He invented Sequence to Sequence Learning, together with Oriol Vinyals and Quoc Le. ... We consider the problem of exploration in meta reinforcement learning. ∙ 10/10/2017 ∙ by Trapit Bansal, et al. Get the full list ». Neural Computation. ∙ ∙ Ilya Sutskever, Self: iHuman. Ilya Sutskever's 74 research works with 141,470 citations and 141,427 reads, including: Generative Language Modeling for Automated Theorem Proving share, Representation learning seeks to expose certain aspects of observed data... share, We introduce Jukebox, a model that generates music with singing in the r... … ∙ ∙ ∙ Mr. Ilya Sutskever is a Co-Founder and serves as Chief Scientist & Board Member at OpenAI, which is a non-profit artificial intelligence research company, discovering and enacting the path to safe artificial general intelligence. Open Research Questions, 11/02/2020 ∙ by Angira Sharma ∙ share, Sequence-to-sequence models have achieved impressive results on various 09/08/2014 ∙ by Wojciech Zaremba, et al. ∙ 07/03/2012 ∙ by Geoffrey E. Hinton, et al. 78, Learning from Human Feedback: Challenges for Real-World Reinforcement ∙ 11/16/2015 ∙ by Navdeep Jaitly, et al. ∙ share, Learning an algorithm from examples is a fundamental problem that has be... ∙ 11/25/2015 ∙ by Łukasz Kaiser, et al. 12/04/2019 ∙ by Preetum Nakkiran, et al. One person who demonstrated its potential is Ilya Sutskever, who trained under a deep-learning pioneer at the University of Toronto and used the … "double-d... MathSciNet. 117, Graph Kernels: State-of-the-Art and Future Challenges, 11/07/2020 ∙ by Karsten Borgwardt ∙ Ilya Sutskever Doctor of Philosophy Graduate Department of Computer Science University of Toronto 2013 Recurrent Neural Networks (RNNs) are powerful sequence models that were believed to be difficult to train, and as a result they were rarely used in machine learning applications. 04/23/2019 ∙ by Rewon Child, et al. PitchBook’s data visualizations quickly surface an investor’s historical investments—showing a breakdown of activity by industry, year and region. 12/21/2013 ∙ by Christian Szegedy, et al. Ilya Sutskever. I spent three wonderful years as a Research Scientist at the Google Brain Team. ∙ share, Reinforcement learning (RL) makes it possible to train agents capable of... 0 ∙ Verified email at openai.com - Homepage. University of Toronto (23) University of California, Berkeley (7) University of Amsterdam (5) Google LLC (1) 08/03/2016 ∙ by Yuping Luo, et al. Ilya Sutskever Google ilyasu@google.com Oriol Vinyals Google vinyals@google.com Quoc V. Le Google qvl@google.com Abstract Deep Neural Networks (DNNs) are powerful models that have achieved excel-lent performanceon difficult learning tasks. ∙ , I spent three wonderful years as a Research Scientist at the Google Brain Team. 0 0 13 share, Deep neural networks are powerful parametric models that can be trained He and Oriol Vinyals and Quoc Le invented Sequence to Sequence Learning. ∙ 11/02/2016 ∙ by Eric Price, et al. References. Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI.. 24119: 2013: Sequence to sequence learning with neural networks. ∙ ∙ ∙
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