Playlist: 30 videos

Representation Learning

This workshop will focus on dramatic advances in representation and learning taking place in natural language processing, speech and vision. For instance, deep learning can be thought of as a method that combines the tasks of finding a classifier...

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0:49:19
Nathan Srebro, TTI Chicago
Representation Learning
https://simons.berkeley.edu/talks/nathan-srebro-bartom-2017-3-27
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0:36:0
Elad Hazan, Princeton University
Representation Learning
https://simons.berkeley.edu/talks/elad-hazan-2017-3-27
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1:14:6
Christopher Manning, Stanford University
Representation Learning
https://simons.berkeley.edu/talks/christopher-manning-2017-3-27
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0:59:31
Leon Bottou, Facebook AI Research
Representation Learning
https://simons.berkeley.edu/talks/missing-signal
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0:42:54
Hal Daume, University of Maryland at College Park
Representation Learning
https://simons.berkeley.edu/talks/hal-daume-2017-3-27
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0:17:44
Andrej Risteski, Princeton University
Representation Learning
https://simons.berkeley.edu/talks/andrej-risteski-2017-03-27
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0:18:30
Bo Xie, Georgia Institute of Technology
Representation Learning
https://simons.berkeley.edu/talks/bo-xie-2017-03-27
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0:41:44
Rob Fergus, New York University
Representation Learning
https://simons.berkeley.edu/talks/rob-fergus-2017-3-28
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0:44:54
Kristen Grauman, University of Texas, Austin
Representation Learning
https://simons.berkeley.edu/talks/kristen-grauman-2017-3-28
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1:11:34
Pieter Abbeel, UC Berkeley
Representation Learning
https://simons.berkeley.edu/talks/pieter-abbeel-2017-3-28
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