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Oral
Fri Jul 13 11:00 PM -- 11:20 PM (KST) @ K1
Efficient end-to-end learning for quantizable representations
In Deep Learning (Theory) 7
Yeonwoo Jeong · Hyun Oh Song
[ PDF]  [ Video] 
Oral
Fri Jul 13 11:20 PM -- 11:30 PM (KST) @ K1
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach
In Deep Learning (Theory) 7
Tim Pearce · Alexandra Brintrup · Mohamed Zaki · Andy Neely
[ PDF]  [ Video] 
Oral
Fri Jul 13 11:30 PM -- 11:40 PM (KST) @ K1
A Boo(n) for Evaluating Architecture Performance
In Deep Learning (Theory) 7
Ondrej Bajgar · Rudolf Kadlec · Jan Kleindienst
[ PDF]  [ Video] 
Oral
Fri Jul 13 11:40 PM -- 11:50 PM (KST) @ K1
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors
In Deep Learning (Theory) 7
Gintare Karolina Dziugaite · Daniel Roy
[ PDF] 
Oral
Fri Jul 13 11:50 PM -- 12:00 AM (KST) @ K1
On the Limitations of First-Order Approximation in GAN Dynamics
In Deep Learning (Theory) 7
Jerry Li · Aleksander Madry · John Peebles · Ludwig Schmidt
[ PDF]  [ Video]