Rapture of the Deep: Highs and Lows of Sparsity in Neural Networks

Rapture of the Deep: Highs and Lows of Sparsity in Neural Networks

Institut des Hautes Etudes Scientifiques (IHES) via YouTube Direct link

Conservation laws

14 of 14

14 of 14

Conservation laws

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Rapture of the Deep: Highs and Lows of Sparsity in Neural Networks

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  1. 1 Intro
  2. 2 Based on joint work with
  3. 3 Sparsity & frugality
  4. 4 Sparsity & interpretability
  5. 5 Deep sparsity?
  6. 6 Bilinear sparsity: blind deconvolution
  7. 7 ReLU network training - weight decay
  8. 8 Behind the scene
  9. 9 Greed is good?
  10. 10 Optimization with support constraints
  11. 11 Application: butterfly factorization
  12. 12 Wandering in equivalence classes
  13. 13 Other consequences of scale-invariance
  14. 14 Conservation laws

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