Statistical Physics Meet Machine Learning
INVITED · S18 · ID: 355786
Presentations
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Beyond Backprop: Different Approaches to Credit Assignment in Neural Nets
Invited
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Presenters
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Irina Rish
Computer Science and Operations Research (Département d’informatique et recherche opérationnelle), Université de Montréal / Mila - Quebec AI Institute
Authors
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Irina Rish
Computer Science and Operations Research (Département d’informatique et recherche opérationnelle), Université de Montréal / Mila - Quebec AI Institute
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Renormalization-group flow in neural-network priors
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Presenters
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Sho Yaida
Facebook
Authors
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Sho Yaida
Facebook
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David Schwab Invited Talk
COFFEE_KLATCH · Invited
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Surya Ganguli Invited Talk
COFFEE_KLATCH · Invited
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Self-tuned annealing in deep learning: How neural networks find generalizable solutions
Invited
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Presenters
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Yuhai Tu
IBM TJ Watson Research Center, BM T.J. Watson Research Center
Authors
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Yuhai Tu
IBM TJ Watson Research Center, BM T.J. Watson Research Center
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