I
Ilya Sutskever
Researcher at OpenAI
Publications - 137
Citations - 294374
Ilya Sutskever is an academic researcher from OpenAI. The author has contributed to research in topics: Artificial neural network & Reinforcement learning. The author has an hindex of 75, co-authored 131 publications receiving 235539 citations. Previous affiliations of Ilya Sutskever include Google & University of Toronto.
Papers
More filters
Posted Content
Towards Principled Unsupervised Learning
Ilya Sutskever,Rafal Jozefowicz,Karol Gregor,Danilo Jimenez Rezende,Timothy P. Lillicrap,Oriol Vinyals +5 more
TL;DR: By aggressively optimizing the ODM cost, this paper shows that the model can be used for one-shot domain adaptation, which allows the model to classify inputs that differ from the input distribution in significant ways without the need for prior exposure to the new domain.
Proceedings Article
Improving Variational Autoencoders with Inverse Autoregressive Flow
TL;DR: In experiments with natural images, it is demonstrated that autoregressive flow leads to significant performance gains and is well applicable to models with high-dimensional latent spaces, such as convolutional generative models.
Posted Content
GamePad: A Learning Environment for Theorem Proving
TL;DR: In this paper, the authors introduce a system called GamePad that can be used to explore the application of machine learning methods to theorem proving in the Coq proof assistant in a step-by-step manner.
Posted Content
One-Shot Imitation Learning
Yan Duan,Marcin Andrychowicz,Bradly C. Stadie,Jonathan Ho,Jonas Schneider,Ilya Sutskever,Pieter Abbeel,Wojciech Zaremba +7 more
TL;DR: A meta-learning framework for achieving one-shot imitation learning, where ideally, robots should be able to learn from very few demonstrations of any given task, and instantly generalize to new situations of the same task, without requiring task-specific engineering.