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...

0:40:42

Supersizing Self-Supervision: Learning Perception and Action without Human Supervision

Abhinav Gupta, Carnegie Mellon University
Representation Learning
https://simons.berkeley.edu/talks/abhinav-gupta-2017-3-28
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0:45:44

Failures of Deep Learning

Shai Shalev-Shwartz, Hebrew University of Jerusalem
Representation Learning
https://simons.berkeley.edu/talks/shai-shalev-shwartz-2017-3-28
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0:38:0

Continuous State Machines and Grammars for Linguistic Structure Prediction

Noah Smith, University of Washington
Representation Learning
https://simons.berkeley.edu/talks/noah-smith-2017-3-29
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0:46:57

Adversarial Perceptual Representation Learning Across Diverse Modalities and Domains

Trevor Darrell, UC Berkeley
Representation Learning
https://simons.berkeley.edu/talks/trevor-darrell-2017-3-29
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1:4:15

Evaluating Neural Network Representations Against Human Cognition

Tom Griffiths, UC Berkeley
Representation Learning
https://simons.berkeley.edu/talks/tom-griffiths-2017-3-29
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0:45:1

Representation Learning for Reading Comprehension

Russ Salakhutdinov, Carnegie Mellon University
Representation Learning
https://simons.berkeley.edu/talks/russ-salakhutdinov-2017-3-29
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0:40:9

Tractable Learning in Structured Probability Spaces

Adnan Darwiche, UCLA
Representation Learning
https://simons.berkeley.edu/talks/adnan-darwiche-2017-3-29
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0:22:47

Spotlight Talk: Convolutional Dictionary Learning through Tensor Factorization

Furong Huang, UC Irvine
Representation Learning
https://simons.berkeley.edu/talks/furong-huang-2017-03-29
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0:16:19

Spotlight Talk: How to Escape Saddle Points Efficiently

Praneeth Netrapalli, Microsoft Research India
Representation Learning
https://simons.berkeley.edu/talks/praneeth-netrapalli-2017-03-29
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0:41:54

Re-Thinking Representational Learning in Robotics and Music

Sham Kakade, University of Washington
Representation Learning
https://simons.berkeley.edu/talks/sham-kakade-2017-3-30
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