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Oral
Wed Jul 11 07:00 AM -- 07:20 AM (PDT) @ K1 + K2
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
In Deep Learning (Theory) 1
Lechao Xiao · Yasaman Bahri · Jascha Sohl-Dickstein · Samuel Schoenholz · Jeffrey Pennington
[ PDF]  [ Video] 
Oral
Wed Jul 11 07:20 AM -- 07:40 AM (PDT) @ K1 + K2
The Dynamics of Learning: A Random Matrix Approach
In Deep Learning (Theory) 1
Zhenyu Liao · Romain Couillet
[ PDF]  [ Video] 
Oral
Wed Jul 11 07:40 AM -- 07:50 AM (PDT) @ K1 + K2
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
In Deep Learning (Theory) 1
Sanjeev Arora · Nadav Cohen · Elad Hazan
[ PDF]  [ Video] 
Oral
Wed Jul 11 07:50 AM -- 08:00 AM (PDT) @ K1 + K2
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global
In Deep Learning (Theory) 1
Thomas Laurent · James von Brecht
[ PDF]  [ Video]