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  1. Home
  2. Deep Learning

Deep Learning

video lecture

Interpreting Deep Neural Networks

October 17, 2019
Bin Yu

https://www.ias.edu/math/wtdl

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video lecture

Designing Explicit Regularizers for Deep Models

October 17, 2019
Tengyu Ma

https://www.ias.edu/math/wtdl

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video lecture

Understanding the inductive bias due to dropout

October 17, 2019
Raman Arora

 

https://www.ias.edu/math/wtdl

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video lecture

Learning Representations Using Causal Invariance

October 17, 2019
Leon Bottou

 

https://www.ias.edu/math/wtdl

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video lecture

Panel Session

October 16, 2019
Various

 

https://www.ias.edu/math/wtdl

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video lecture

Towards a theoretical foundation of neural networks

October 16, 2019
Jason Lee

https://www.ias.edu/math/wtdl

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video lecture

Spotlight talks

October 16, 2019
Various

https://www.ias.edu/math/wtdl

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video lecture

Spotlight Talks

October 15, 2019
Yuanzhi Li, Soham De, Mahyar Fazlyab, Maithra Raghu, Valentin Thomas

https://www.ias.edu/math/wtdl

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video lecture

From Classical Statistics to Modern ML: the Lessons of Deep Learning

October 16, 2019
Mikhail Belkin

https://www.ias.edu/math/wtdl

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video lecture

On the Connection between Neural Networks and Kernels: a Modern Perspective

October 16, 2019
Simon Du

 

https://www.ias.edu/math/wtdl

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