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Oral
Fri Jul 13th 04:00 -- 04:20 PM @ K1
Efficient end-to-end learning for quantizable representations
In Deep Learning (Theory) 7
Yeonwoo Jeong · Hyun Oh Song
Oral
Fri Jul 13th 04:20 -- 04:30 PM @ 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
Oral
Fri Jul 13th 04:30 -- 04:40 PM @ K1
A Boo(n) for Evaluating Architecture Performance
In Deep Learning (Theory) 7
Ondrej Bajgar · Rudolf Kadlec · Jan Kleindienst
Oral
Fri Jul 13th 04:40 -- 04:50 PM @ 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
Oral
Fri Jul 13th 04:50 -- 05:00 PM @ K1
On the Limitations of First-Order Approximation in GAN Dynamics
In Deep Learning (Theory) 7
Jerry Li · Aleksander Madry · John Peebles · Ludwig Schmidt