Saturday Morning Videos: NIPS2017 Meta Learning Symposium videos

Pieter Abbeel mentioned that the #nips2017 Meta Learning Symposium videos are now available here.

Thanks to Risto Miikkulainen, Quoc Le, Kenneth Stanley, and Chrisantha Fernando for organizing and getting the videos online !

Opening remarks, Quoc Le (slides, video)

Topic I: Evolutionary Optimization

• Evolving Multitask Neural Network Structure, Risto Miikkulainen (slides, video)
• Evolving to Learn through Synaptic Plasticity, Ken Stanley (slides, video)
• PathNet and Beyond, Chrisantha Fernando (slides, video)

Topic II: Bayesian Optimization

• Bayesian Optimization for Automated Model Selection, Roman Garnett (slides, video)
• Automatic Machine Learning (AutoML) and How To Speed It Up, Frank Hutter (slides, video)

Topic III: Gradient Descent

• Contrasting Model- and Optimization-based Metalearning, Oriol Vinyals (slides, video)
• Population-based Training for Neural Network Meta-Optimization, Max Jaderberg (slides, video)
• Learning to Learn for Robotic Control, Pieter Abbeel (slides, video)
• On Learning How to Learn Learning Strategies, Juergen Schmidhuber (slides, video)

Topic IV: Reinforcement Learning

• Intrinsically Motivated Reinforcement Learning, Satinder Singh (video)
• Self-Play, Ilya Sutskever (slides, video)
• Neural Architecture Search, Quoc Le (slides, video)
• Multiple scales of reward and task learning, Jane Wang (slides, video)

Panel discussion, Moderator: Risto Miikkulainen, Panelists: Frank Hutter, Juergen Schmidhuber, Ken Stanley, Ilya Sutskever (video)


Credit photn: NASA, Starshine 2 , more on project Starshine.
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