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Date | Presenter | Topic(s) | Resources/Papers | Other activities/ comments | |||||||
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2/7 | Anshu | Scalable Learning | Fast, Accurate Detection of 100,000 Object Classes on a Single Machine | 9/5/2013 |
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9 2/12/2013 14 |
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| Yun | Gaussian Process Latent Variable Models | TBA |
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9 2/19/2013 | Karthik | Active Learning, Crowdsourcing | Tutorial style discussion. | Paul Bennett (AI Seminar) | 21 | Ian | 9/26/2013 |
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2/28 | Ozan | Deep Learning |
| 10/3/2013 | Adith | TBA | TBA |
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10 3/10/2013 7 | Tobias |
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10 3/17/2013 14 | Hema Karthik TBA | Interactive Machine Learning | TBA |
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10 3/24/2013 21 | Jason | Generative Stochastic Networks |
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10 3/31/2013 28 | Ashesh | TBA | Ruben | practice talk (www'14) | Was This Review Helpful to You? It Depends! Context and Voting Patterns in Online Content TBA |
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4/11 /7/2013 |
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| Adith | Learning embeddings, Social Networks |
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11 4/14/2013 18 | Ashesh |
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11/21/2013 |
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11/28/2013 | Thanksgiving break |
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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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