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Date | Presenter | Topic(s) | Resources/Papers | Other activities/ comments | ||||
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9 2/5/2013 7 | Anshu |
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| Scalable Learning | Fast, Accurate Detection of 100,000 Object Classes on a Single Machine 9/12/2013 |
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9/19/2013 |
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| Paul Bennett (AI Seminar) | |||||
9/26/2013 |
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2/14 | Yun | Gaussian Process Latent Variable Models | TBA |
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2/21 | Ian | 10/3/2013 |
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2/28 | Ozan | Deep Learning |
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3/7 | Tobias 10/17/2013 |
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3/14 | Karthik | Interactive Machine Learning |
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3/21 | Jason | Generative Stochastic Networks | 10/31/2013 |
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11/7/2013 |
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11/14/2013 |
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11/21/2013 |
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11/28/2013 | Thanksgiving break |
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3/28 | Ruben | practice talk (www'14) | Was This Review Helpful to You? It Depends! Context and Voting Patterns in Online Content |
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4/11 | Adith | Learning embeddings, Social Networks |
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4/18 | Ashesh | Proximal Algorithms | Theory, properties and applications (Notes) | Tutorial/Discussion style | ||||
4/25 | Moontae | Stochastic Embedding | t-Stochastic Neighbor Embedding (Paper) |
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5/2 | Vikram | Multiple-source cross-validation | 12/5/2013 |
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