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Oral
Fri Jul 13 07:00 AM -- 07:20 AM (PDT) @ K1
Efficient end-to-end learning for quantizable representations
In Deep Learning (Theory) 7
Yeonwoo Jeong · Hyun Oh Song
Oral
Fri Jul 13 07:20 AM -- 07:30 AM (PDT) @ 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 13 07:30 AM -- 07:40 AM (PDT) @ K1
A Boo(n) for Evaluating Architecture Performance
In Deep Learning (Theory) 7
Ondrej Bajgar · Rudolf Kadlec · Jan Kleindienst
Oral
Fri Jul 13 07:40 AM -- 07:50 AM (PDT) @ 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 13 07:50 AM -- 08:00 AM (PDT) @ K1
On the Limitations of First-Order Approximation in GAN Dynamics
In Deep Learning (Theory) 7
Jerry Li · Aleksander Madry · John Peebles · Ludwig Schmidt