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Oral
Wed Jun 12 11:00 AM -- 11:20 AM (PDT) @ Room 104
Complexity of Linear Regions in Deep Networks
Boris Hanin · David Rolnick
Oral
Wed Jun 12 11:20 AM -- 11:25 AM (PDT) @ Room 104
On Connected Sublevel Sets in Deep Learning
Quynh Nguyen
Oral
Wed Jun 12 11:25 AM -- 11:30 AM (PDT) @ Room 104
Adversarial Examples Are a Natural Consequence of Test Error in Noise
Justin Gilmer · Nicolas Ford · Nicholas Carlini · Ekin Cubuk
Oral
Wed Jun 12 11:30 AM -- 11:35 AM (PDT) @ Room 104
Greedy Layerwise Learning Can Scale To ImageNet
Eugene Belilovsky · Michael Eickenberg · Edouard Oyallon
Oral
Wed Jun 12 11:35 AM -- 11:40 AM (PDT) @ Room 104
On the Impact of the Activation function on Deep Neural Networks Training
Soufiane Hayou · Arnaud Doucet · Judith Rousseau
Oral
Wed Jun 12 11:40 AM -- 12:00 PM (PDT) @ Room 104
Estimating Information Flow in Deep Neural Networks
Ziv Goldfeld · Ewout van den Berg · Kristjan Greenewald · Igor Melnyk · Nam Nguyen · Brian Kingsbury · Yury Polyanskiy
Oral
Wed Jun 12 12:00 PM -- 12:05 PM (PDT) @ Room 104
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects
Zhanxing Zhu · Jingfeng Wu · Bing Yu · Lei Wu · Jinwen Ma
Oral
Wed Jun 12 12:05 PM -- 12:10 PM (PDT) @ Room 104
Characterizing Well-Behaved vs. Pathological Deep Neural Networks
Antoine Labatie
Oral
Wed Jun 12 12:10 PM -- 12:15 PM (PDT) @ Room 104
Understanding Geometry of Encoder-Decoder CNNs
Jong Chul C Ye · woonkyoung Sung
Oral
Wed Jun 12 12:15 PM -- 12:20 PM (PDT) @ Room 104
Traditional and Heavy Tailed Self Regularization in Neural Network Models
Michael Mahoney · Charles H Martin