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Oral
Thu Jul 12 11:00 PM -- 11:20 PM (KST) @ K1
Reviving and Improving Recurrent Back-Propagation
In Deep Learning (Theory) 5
Renjie Liao · Yuwen Xiong · Ethan Fetaya · Lisa Zhang · KiJung Yoon · Zachary S Pitkow · Raquel Urtasun · Richard Zemel
[ PDF]  [ Video] 
Oral
Thu Jul 12 11:20 PM -- 11:30 PM (KST) @ K1
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks
In Deep Learning (Theory) 5
Minmin Chen · Jeffrey Pennington · Samuel Schoenholz
[ PDF]  [ Video] 
Oral
Thu Jul 12 11:30 PM -- 11:40 PM (KST) @ K1
Invariance of Weight Distributions in Rectified MLPs
In Deep Learning (Theory) 5
Susumu Tsuchida · Fred Roosta · Marcus Gallagher
[ PDF]  [ Video] 
Oral
Thu Jul 12 11:40 PM -- 11:50 PM (KST) @ K1
Learning Dynamics of Linear Denoising Autoencoders
In Deep Learning (Theory) 5
Arnu Pretorius · Steve Kroon · Herman Kamper
[ PDF]  [ Video] 
Oral
Thu Jul 12 11:50 PM -- 12:00 AM (KST) @ K1
Understanding Generalization and Optimization Performance of Deep CNNs
In Deep Learning (Theory) 5
Pan Zhou · Jiashi Feng
[ PDF]  [ Video]