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On the Power of Curriculum Learning in Training Deep Networks
Presenter
- Daphna Weinshall
February 21, 2019
ICERM
The Information Bottleneck theory of Deep Learning and the computational benefit of the hidden layers
Presenter
- Naftali Tishby
February 21, 2019
ICERM
Gradient descent aligns the layers of deep linear networks
Presenter
- Matus Telgarsky
February 21, 2019
ICERM
Improvements and extensions to the K-FAC method for training neural nets
Presenter
- James Martens
February 21, 2019
ICERM
An ICERM Public Lecture: Discovering Black Holes and Gravitational Waves: Algorithms and Simulation
Presenter
- Scott Field
February 20, 2019
ICERM
A theoretical look at adversarial examples and dataset poisoning
Presenter
- Tom Goldstein
February 20, 2019
ICERM
Accelerating atomic-scale calculations with machine learning
Presenter
- Andrew Peterson
February 20, 2019
ICERM
Mad Max - Affine Spline Insights into Deep Learning
Presenter
- Richard Baraniuk
February 20, 2019
ICERM
Towards Joint Understanding of Images and Language
Presenter
- Svetlana Lazebnik
February 19, 2019
ICERM