Sequence to Sequence Learning with Neural Networks Ilya Sutskever Google

Source URL: papers.nips.cc

Published as a conference paper at ICLRN EURAL R ANDOM -ACCESS M ACHINES Karol Kurach∗ & Marcin Andrychowicz∗ & Ilya Sutskever Google {kkurach,marcina,ilyasu}@google.com

Source URL: arxiv.org

Addressing the Rare Word Problem in Neural Machine Translation Minh-Thang Luong† ∗ Stanford Ilya Sutskever†

Source URL: cs224d.stanford.edu

On the Convergence Properties of Contrastive Divergence Ilya Sutskever University of Toronto Abstract

Source URL: www.cs.utoronto.ca

Learning to Execute by Wojciech Zaremba and Ilya Sutskever ref: http://arxiv.org/abs Examples

Source URL: cs.nyu.edu

Addressing the Rare Word Problem in Neural Machine Translation Minh-Thang Luong† ∗ Stanford Ilya Sutskever†

Source URL: cs224d.stanford.edu

Recent Progress in Generative Modeling Ilya Sutskever Goal of OpenAI

Source URL: matroid.com

Top 50 authors in computer science Author Michael I. Jordan Andrew Y. Ng Andrew Zisserman

Source URL: www.sciencemag.org

• Artificial intelligence
• Fellows of the Royal Society
• Ilya Sutskever
• Christos Faloutsos
• Andrew Zisserman
• Christos
• Michael I. Jordan
• Yoshua Bengio

Published as a conference paper at ICLRM ULTI - TASK S EQUENCE TO S EQUENCE L EARNING Minh-Thang Luong∗, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser Google Brain ,{qvl,ilyasu,vin

Source URL: arxiv.org

• Machine learning
• Computational linguistics
• Artificial neural networks
• Computational neuroscience
• Computer-assisted translation
• Feature learning
• Parsing
• Machine translation
• Neural machine translation
• Autoencoder
• Evaluation of machine translation
• Multi-task learning

Supervised Learning with Neural Networks and Machine Translation with LSTMs Ilya Sutskever in collaboration with:

Source URL: www.cs.tau.ac.il