Tensorial Neural Networks - Generalization of Neural Networks and Application to Model Compression
Furong Huang
University of Maryland
February 22, 2019
Learning Spatial Common Sense with Geometry-Aware Deep Networks
Katerina Fragkiadaki
Carnegie Mellon
February 22, 2019
Over-parameterized nonlinear learning - Gradient descent follows the shortest path
Mahdi Soltanolkotabi
University of Southern California
February 22, 2019
On the Power of Curriculum Learning in Training Deep Networks
Daphna Weinshall
Hebrew University of Jerusalem
February 21, 2019
The Information Bottleneck theory of Deep Learning and the computational benefit of the hidden layers
Naftali Tishby
Hebrew University
February 21, 2019
Gradient descent aligns the layers of deep linear networks
Matus Telgarsky
University of Illinois Urbana-Champaign
February 21, 2019
Improvements and extensions to the K-FAC method for training neural nets
James Martens
Google DeepMind
February 21, 2019
An ICERM Public Lecture: Discovering Black Holes and Gravitational Waves: Algorithms and Simulation
Scott Field
University of Massachusetts Dartmouth
February 20, 2019