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Oral
Wed Jul 11th 04:00 -- 04:20 PM @ K1 + K2
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao · Yasaman Bahri · Jascha Sohl-Dickstein · Samuel Schoenholz · Jeffrey Pennington
Oral
Wed Jul 11th 04:20 -- 04:40 PM @ K1 + K2
The Dynamics of Learning: A Random Matrix Approach
Zhenyu Liao · Romain Couillet
Oral
Wed Jul 11th 04:40 -- 04:50 PM @ K1 + K2
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
Sanjeev Arora · Nadav Cohen · Elad Hazan
Oral
Wed Jul 11th 04:50 -- 05:00 PM @ K1 + K2
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global
Thomas Laurent · James von Brecht