Lecture 7 - 27 Jan 2016Fei-Fei Li & Andrej Karpathy & Justin JohnsonFei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 7 - 27 Jan 20161 Lecture 7: Convolutional Neural Networks Lecture 7 - 27 Jan 2016Fei-Fei Li & Andrej Karpathy & Justin JohnsonFei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 7 - 27 Jan 20162 Administrative A2 is due Feb 5 (next Friday) Project proposal due Jan 30 (Saturd
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Stochastic Optimization: ICML 2010 Tutorial Nathan Srebro and Ambuj Tewari Topic Overview Stochastic Optimization played an important role in Machine Learning in the past, and is lately again playing an increasingly important role, both as a conceptual framework and as a computational tool. This is not at all surprising. First, the standard Statistical Learning setups, e.g. the (agnostic) PAC Fram
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Human Computation: Core Research Questions and State of the Art There will also be a 4-hour tutorial, given by Luis von Ahn and Edith Law, at AAAI on August 7 (2:00 PM - 6:00 PM) which will give newcomers and current researchers a birdâs eye view of the research landscape of human computation. The tutorial will be based on materials from a new book called âHuman Computationâ (published by Morgan &
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Invited Talk Space-efficient representations of complex objects Rajeev Raman (University of Leicester, UK) In the last 10-15 years there has been a great increase in our understanding of space-efficient representations of ``simple'' objects such as trees and strings (or simple graph classes) but with increasingly more powerful operations, the objects we often wish to represent in real life are mor
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