NIPS Proceedingsβ

Ilya Sutskever

11 Papers

  • An Online Sequence-to-Sequence Model Using Partial Conditioning (2016)
  • Improved Variational Inference with Inverse Autoregressive Flow (2016)
  • InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets (2016)
  • Grammar as a Foreign Language (2015)
  • Sequence to Sequence Learning with Neural Networks (2014)
  • Distributed Representations of Words and Phrases and their Compositionality (2013)
  • Cardinality Restricted Boltzmann Machines (2012)
  • ImageNet Classification with Deep Convolutional Neural Networks (2012)
  • Modelling Relational Data using Bayesian Clustered Tensor Factorization (2009)
  • The Recurrent Temporal Restricted Boltzmann Machine (2008)
  • Using matrices to model symbolic relationship (2008)