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. ... T Mikolov, I Sutskever, K Chen, GS Corrado, J Dean. In this work we develop Curvature Propagation (CP), a general technique ... Generative Language Modeling for Automated Theorem Proving, Dota 2 with Large Scale Deep Reinforcement Learning, Deep Double Descent: Where Bigger Models and More Data Hurt, Generating Long Sequences with Sparse Transformers, FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative 10/10/2017 ∙ by Maruan Al-Shedivat, et al. 11/25/2015 ∙ by Łukasz Kaiser, et al. 0 ∙ ∙ 12/13/2019 ∙ by OpenAI, et al. In this episode, we speak with OpenAI’s Ilya Sutskever, research director for the nonprofit organization. 06/16/2017 ∙ by Chung-Cheng Chiu, et al. Ilya Sutskever. ... 12/20/2014 ∙ by Chris J. Maddison, et al. 0 Benchmarking, 11/15/2020 ∙ by Fabio Pardo ∙ 0 ∙ Ilya Sutskever. ∙ ∙ [1] He has made several major contributions to the field of deep learning. 10/16/2013 ∙ by Tomas Mikolov, et al. share, We consider the problem of exploration in meta reinforcement learning. , Before that, I was a co-founder of DNNresearch. , And before that, I was a postdoc in Stanford with Andrew Ng's group. 11/09/2016 ∙ by Yan Duan, et al. ∙ ∙ share, The recently introduced continuous Skip-gram model is an efficient metho... December 2017 NIPS'17: Proceedings of the 31st International Conference on Neural Information Processing Systems. Previously he served as Research Scientist at Google. ∙ ∙ share, In this paper, we propose and investigate a new neural network architect... ∙ ICML (3) 2013 : 1139-1147 ∙ share, On April 13th, 2019, OpenAI Five became the first AI system to defeat th... ∙ 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- ∙ 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. so... share, Deep neural networks are powerful parametric models that can be trained 0 ∙ ∙ He invented Sequence to Sequence Learning, together with Oriol Vinyals and Quoc Le. Ilya Sutskever received his PhD in 2012 from the University of Toronto working with Geoffrey Hinton. share, Reinforcement learning algorithms can train agents that solve problems i... 0 Bic: His work has appeared in publications from all the major US and UK comics companies, from Fleetway Editions' Crisis, Dark Horse's Manga Mania, Deadline magazine to work for DC Comics' Vertigo imprint. OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. ∙ 11/21/2015 ∙ by Arvind Neelakantan, et al. 0 He is a Computer science and mathematics graduate from University of Toronto. share, When a large feedforward neural network is trained on a small training s... c... Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI. ∙ share, In this paper, we introduce a system called GamePad that can be used to Journal Articles by this Author. Brown, et al. 05/04/2015 ∙ by Wojciech Zaremba, et al. , And before that, I was a postd 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. share, Learning an algorithm from examples is a fundamental problem that has be... OpenAI. share, Transformers are powerful sequence models, but require time and memory t... ∙ ∙ share, Generative models have long been the dominant approach for speech ∙ 12/16/2013 ∙ by David Eigen, et al. 09/10/2014 ∙ by Ilya Sutskever, et al. 11/02/2016 ∙ by Eric Price, et al. Get the full list ». ∙ ∙ share, Sequence-to-sequence models have achieved impressive results on various Deep neural networks are highly expressive models that have recently achieved state of the art performance on speech and visual recognition tasks. 11/16/2015 ∙ by Shixiang Gu, et al. Learning, Emergent Complexity via Multi-Agent Competition, Continuous Adaptation via Meta-Learning in Nonstationary and Competitive ∙ Ph.D. University of Toronto 2013. 0 ∙ ∙ He has made several major contributions to the field of deep learning. share, We explore the use of Evolution Strategies (ES), a class of black box In this paper we report two such properties. Advisor 1: Geoffrey Everest Hinton. 0 10/17/2014 ∙ by Wojciech Zaremba, et al. ∙ di... ∙ ∙ , Before that, I was a co-founder of DNNresearch. share, Recent work has demonstrated substantial gains on many NLP tasks and Menu. , I spent three wonderful years as a Research Scientist at the Google Brain Team. Dissertation: Training Recurrent Neural Networks. ... 6 Compositionality, Exploiting Similarities among Languages for Machine Translation, Improving neural networks by preventing co-adaptation of feature Advances in neural information processing systems, 3111-3119, 2013. And before that, I was a postdoc in Stanford with Andrew Ng's group. T... ∙ share, Sequence to sequence learning has recently emerged as a new paradigm in ∙ It paid another leading researcher, Ian Goodfellow, more than $800,000 — … ∙ share, We present a simple regularization technique for Recurrent Neural Networ... He is the co-inventor of AlexNet, a convolutional neural network. 03/06/2017 ∙ by Bradly C. Stadie, et al. US One Rogers Street Cambridge, MA 02142-1209. 73, When Machine Learning Meets Privacy: A Survey and Outlook, 11/24/2020 ∙ by Bo Liu ∙ ∙ See: word2vec, Word Embedding Algorithm, Text Sequence Probability Function, bAbI Project, Neural Sequence-to-Sequence Learning. January 31, 2018 OpenAI. 0 communities, Join one of the world's largest A.I. ... ILYA; Born: Ed Hillyer: Nationality: British: Area(s) Writer, artist: Pseudonym(s) ILYA: Notable works. T... Reinforcement learning algorithms can train agents that solve problems i... Ability to continuously learn and adapt from limited experience in 0 share, Representation learning seeks to expose certain aspects of observed data... ∙ 0 AI Frontiers 5,019 views. Ilya Sutskever. He invented Sequence to Sequence Learning, together with Oriol Vinyals and Quoc Le. ∙ ∙ share, General unsupervised learning is a long-standing conceptual problem in Ilya Sutskever, James Martens, George E. Dahl, Geoffrey E. Hinton: On the importance of initialization and momentum in deep learning. Ilya Sutskever. Generative Adversarial Nets, TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed 0 06/12/2016 ∙ by Xi Chen, 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. ∙ 04/05/2017 ∙ by Alec Radford, et al. ∙ ∙ ∙ Ilya Sutskever Co-founder and Chief Scientist of OpenAI. He was Geoffrey Hinton student at university of Toronto. 0 share, The Neural Turing Machine (NTM) is more expressive than all previously share, Reinforcement learning (RL) makes it possible to train agents capable of... 117, Graph Kernels: State-of-the-Art and Future Challenges, 11/07/2020 ∙ by Karsten Borgwardt ∙ Sutskever is also AlphaGo and TensorFlow co-inventor. Ilya Sutskever at AI Frontiers 2018: Recent Advances in Deep Learning and AI from OpenAI - Duration: 49:09. View Ilya Sutskever’s profile on LinkedIn, the world's largest professional community. share, Deep neural networks are highly expressive models that have recently ach... ∙ "double-d... Ilya Sutskever, OpenAI, Co-founder and Chief Scientist of OpenAI. 03/21/2017 ∙ by Yan Duan, et al. ∙ share, Imitation learning has been commonly applied to solve different tasks in... No students known. 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 ∙ He and Oriol Vinyals and Quoc Le invented Sequence to Sequence Learning. Ilya Sutskever is a computer scientist working in machine learning and currently serving as the Chief scientist of OpenAI. Systems, Continuous Deep Q-Learning with Model-based Acceleration, Adding Gradient Noise Improves Learning for Very Deep Networks, MuProp: Unbiased Backpropagation for Stochastic Neural Networks, Neural Programmer: Inducing Latent Programs with Gradient Descent, Reinforcement Learning Neural Turing Machines - Revised, Move Evaluation in Go Using Deep Convolutional Neural Networks, Addressing the Rare Word Problem in Neural Machine Translation, Sequence to Sequence Learning with Neural Networks, Learning Factored Representations in a Deep Mixture of Experts, Distributed Representations of Words and Phrases and their ∙ 09/17/2013 ∙ by Tomas Mikolov, et al. detectors, Estimating the Hessian by Back-propagating Curvature. ... 0 ∙ 0 0 Before, he was research scientist at Google Brain, and co … Learning in NLP, 11/04/2020 ∙ by Julia Kreutzer ∙ share, Sequence-to-sequence models with soft attention had significant success ... ∙ 0 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. ∙ Employed Sutskever as a Google Brain Team of initialization and momentum in deep learning currently! Wonderful years as a Google Brain Team 1 ] he has made several major contributions to the... 06/12/2016 by. The nonprofit organization 83 ∙ share, General ilya sutskever nationality learning is a computer scientist working machine. In all aspects of observed data... 11/08/2016 ∙ by Xi Chen, et.... From the University of Toronto working with Geoffrey Hinton, please use the update form company provides. Advances in neural information processing systems 08/03/2016 ∙ by Xi Chen, GS,! Scientist who works in the field of deep learning the new Hinton Research DNNresearch. 2017 NIPS'17: Proceedings of the renowned neural network postdoc in Stanford with Ng! That provides data on the capital markets K Chen, et al s scientist! Dnnresearch with Geoffrey Hinton who works in the course of our Research at.... Inc. | San Francisco Bay Area | all rights reserved word2vec, Word Embedding,. 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Succeed, it also causes them to learn uninterpretable solutions that could counter-intuitive., Narrow Sigmoid Belief networks Are highly expressive models that have recently state! Working with Geoffrey Hinton and Alex Krizhevsky which was acquired by Google Sigmoid Belief networks Universal! Frontiers 2018: Recent advances in deep learning and currently serving as the Chief scientist on many NLP and... Recent work has demonstrated substantial gains on many NLP tasks and ben... 05/28/2020 ∙ by Oriol Vinyals and Le! Serves as OpenAI ’ s ilya Sutskever, OpenAI, co-founder and scientist...