Ilya Sutskever
According to our database^{1},
Ilya Sutskever
authored at least 45 papers
between 2007 and 2018.
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Bibliography
2018
The Importance of Sampling inMetaReinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Emergent Complexity via MultiAgent Competition.
Proceedings of the 6th International Conference on Learning Representations, 2018
Continuous Adaptation via MetaLearning in Nonstationary and Competitive Environments.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
OneShot Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Third Person Imitation Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017
Variational Lossy Autoencoder.
Proceedings of the 5th International Conference on Learning Representations, 2017
Learning online alignments with continuous rewards policy gradient.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Mastering the game of Go with deep neural networks and tree search.
Nature, 2016
Neural Programmer: Inducing Latent Programs with Gradient Descent.
Proceedings of the 4th International Conference on Learning Representations, 2016
Multitask Sequence to Sequence Learning.
Proceedings of the 4th International Conference on Learning Representations, 2016
Neural RandomAccess Machines.
Proceedings of the 4th International Conference on Learning Representations, 2016
Neural GPUs Learn Algorithms.
Proceedings of the 4th International Conference on Learning Representations, 2016
MuProp: Unbiased Backpropagation for Stochastic Neural Networks.
Proceedings of the 4th International Conference on Learning Representations, 2016
Improving Variational Autoencoders with Inverse Autoregressive Flow.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
An Online SequencetoSequence Model Using Partial Conditioning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Continuous Deep QLearning with Modelbased Acceleration.
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Move Evaluation in Go Using Deep Convolutional Neural Networks.
Proceedings of the 3rd International Conference on Learning Representations, 2015
Grammar as a Foreign Language.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
An Empirical Exploration of Recurrent Network Architectures.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Addressing the Rare Word Problem in Neural Machine Translation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Dropout: a simple way to prevent neural networks from overfitting.
Journal of Machine Learning Research, 2014
Intriguing properties of neural networks.
Proceedings of the 2nd International Conference on Learning Representations, 2014
Learning Factored Representations in a Deep Mixture of Experts.
Proceedings of the 2nd International Conference on Learning Representations, 2014
Sequence to Sequence Learning with Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2013
Distributed Representations of Words and Phrases and their Compositionality.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
Stochastic kNeighborhood Selection for Supervised and Unsupervised Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013
On the importance of initialization and momentum in deep learning.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Training Deep and Recurrent Networks with HessianFree Optimization.
Proceedings of the Neural Networks: Tricks of the Trade  Second Edition, 2012
Cardinality Restricted Boltzmann Machines.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
ImageNet Classification with Deep Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
Estimating the Hessian by Backpropagating Curvature.
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Generating Text with Recurrent Neural Networks.
Proceedings of the 28th International Conference on Machine Learning, 2011
Learning Recurrent Neural Networks with HessianFree Optimization.
Proceedings of the 28th International Conference on Machine Learning, 2011
2010
TemporalKernel Recurrent Neural Networks.
Neural Networks, 2010
On the Convergence Properties of Contrastive Divergence.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Parallelizable Sampling of Markov Random Fields.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
A simpler unified analysis of budget perceptrons.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
Deep, Narrow Sigmoid Belief Networks Are Universal Approximators.
Neural Computation, 2008
The Recurrent Temporal Restricted Boltzmann Machine.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Using matrices to model symbolic relationship.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Mimicking Go Experts with Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks, 2008
2007
Learning Multilevel Distributed Representations for HighDimensional Sequences.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
Visualizing Similarity Data with a Mixture of Maps.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007