17.9k citations · 79.2k across the 64 of their papers we have counts for
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever +4
Deep neural networks are highly expressive models that have recently achieved state of the art performance on speech and visual recognition tasks. While their expressiveness is the…
Learning Factored Representations in a Deep Mixture of Experts
David Eigen, Marc'Aurelio Ranzato, Ilya Sutskever
Mixtures of Experts combine the outputs of several "expert" networks, each of which specializes in a different part of the input space. This is achieved by training a "gating" netw…
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen +2
The recently introduced continuous Skip-gram model is an efficient method for learning high-quality distributed vector representations that capture a large number of precise syntac…
Exploiting Similarities among Languages for Machine Translation
Tomas Mikolov, Quoc V. Le, Ilya Sutskever
Dictionaries and phrase tables are the basis of modern statistical machine translation systems. This paper develops a method that can automate the process of generating and extendi…