R
Ruslan Salakhutdinov
Researcher at Carnegie Mellon University
Publications - 457
Citations - 142495
Ruslan Salakhutdinov is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 107, co-authored 410 publications receiving 115921 citations. Previous affiliations of Ruslan Salakhutdinov include Carnegie Learning & University of Toronto.
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Enhanced Convolutional Neural Tangent Kernels
TL;DR: The resulting kernel, CNN-GP with LAP and horizontal flip data augmentation, achieves 89% accuracy, matching the performance of AlexNet, which is the best such result the authors know of for a classifier that is not a trained neural network.
Proceedings ArticleDOI
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
William H. Guss,Brandon Houghton,Nicholay Topin,Phillip Wang,Cayden Codel,Manuela Veloso,Ruslan Salakhutdinov +6 more
TL;DR: This work introduces a comprehensive, large-scale, simulator-paired dataset of human demonstrations: MineRL, which consists of over 60 million automatically annotated state-action pairs across a variety of related tasks in Minecraft, a dynamic, 3D, open-world environment.
Journal ArticleDOI
The Omniglot challenge: a 3-year progress report
TL;DR: In this article, the authors conclude that recent approaches are still far from human-like concept learning on Omniglot, a challenge that requires performing many tasks with a single model.
Proceedings ArticleDOI
Neural Models for Reasoning over Multiple Mentions using Coreference
TL;DR: The authors proposed a coreference annotations extracted from an external system to connect entity mentions belonging to the same cluster and incorporated this layer into a state-of-the-art reading comprehension model.
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On Unifying Deep Generative Models
TL;DR: It is shown that GANs and VAEs involve minimizing KL divergences of respective posterior and inference distributions with opposite directions, extending the two learning phases of classic wake-sleep algorithm, respectively.