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Sep 30, 2019 · Ruslan Salakhutdinov received his PhD in computer science from the University of Toronto in 2009. After spending two post-doctoral years at the Massachusetts Institute of Technology Artificial Intelligence Lab, he joined the University of Toronto as an assistant professor in the departments of Statistics and Computer Science.

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Forecasting and Controlling Behavior by Learning from

Abstract: Achieving a precise predictive understanding of the future is difficult, yet widely studied in the natural sciences. Significant research activity has been dedicated to building testable models of cause and effect. From a certain view, a perfect predictive model of the universe is the “holy grail”; the ultimate goal of science. If we had …

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PhD thesis, Unviersity of Toronto, 2009. Google Scholar; A. Krizhevsky, I. Sutskever, and G. E. Hinton. ImageNet Classification with Deep Convolutional Neural Networks. Ruslan R Salakhutdinov University of Toronto Joshua B Tenenbaum Massachusetts Institute of Technology Authors: Brenden M. Lake. Dept. of Brain and Cognitive Sciences, MIT

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One-shot learning by inverting a compositional causal

Ruslan Salakhutdinov Master’s Degree Graduate Department of Computer Science University of Toronto 2003 Many problems in machine learning and pattern recognition ultimately reduce to the op-timization of a scalar valued function. A variety of general techniques exist for …

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Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum Current Opinion in Behavioral Sciences, 2019 Embodied Multimodal Multitask Learning Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra Video …

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He continued his study at the University of Edinburgh where he was awarded a PhD in artificial intelligence in 1978 for research supervised by Christopher …Zhilin li phd thesis proposal My research goal is to develop deep learning models for machine cognition, including the capabilities regarding knowledge, memory, and reasoning.

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Ruslan Salakhutdinov Doctor of Philosophy Graduate Department of Computer Science University of Toronto The aim of the thesis is to demonstrate that deep generative models that contain many layers of latent variables and millions of parameters can be learned efficien tly, …

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This "Cited by" count includes citations to the following articles in Scholar. Zhiting Hu PhD Candidate of Machine Learning Department, Ruslan Salakhutdinov. Associate Professor, Machine Learning Department, CMU. Verified email at cs.cmu.edu - Homepage.

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Sep 01, 2018 · PhD thesis, University of Toronto, 2015. [5] Lake, Brenden M, Salakhutdinov, Ruslan R, and Tenenbaum, Josh. One-shot learning by inverting a compositional causal process .

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View Ruslan Salakhutdinov’s profile on LinkedIn, the world's largest professional community. Ruslan has 4 jobs listed on their profile. See the complete profile on LinkedIn and discover Ruslan

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Geoffrey Everest Hinton CC FRS FRSC (born 6 December 1947) is an English Canadian cognitive psychologist and computer scientist, most noted for his work on artificial neural networks.Since 2013 he divides his time working for Google (Google Brain) and the University of Toronto.In 2017, he cofounded and became the Chief Scientific Advisor of the Vector Institute in Toronto.

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May 08, 2018 · This dissertation aims to endow visual recognition systems with low-shot learning ability, so that they learn consistently well on data of different sample sizes. Our key insight is that the visual world is well structured and highly predictable not only in …

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Learning to Learn for Small Sample Visual Recognition

Ruslan Salakhutdinov Phd Thesis. ruslan salakhutdinov phd thesis I joined Facebook AI Research (FAIR) in 2016 as a Research Scientist. Formerly I was with Microsoft Research Asia (MSRA), which I joined in 2011 after receiving my PhD.Dr. Steve Chien is Technical Group Supervisor of the Artificial Intelligence Group and Senior Research Scientist in the Mission Planning and Execution Section at

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