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Poster
Thu 9:00 Stable Recurrent Models
John Miller · Moritz Hardt
Poster
Thu 9:00 RNNs implicitly implement tensor-product representations
Tom McCoy · Tal Linzen · Ewan Dunbar · Paul Smolensky
Poster
Thu 9:00 Generalized Tensor Models for Recurrent Neural Networks
Valentin Khrulkov · Oleksii Hrinchuk · Ivan Oseledets
Poster
Thu 9:00 Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Thomas Miconi · Aditya Rawal · Jeff Clune · Kenneth O. Stanley
Oral
Tue 13:15 Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramer · Dan Boneh
Poster
Wed 14:30 Gradient Descent Provably Optimizes Over-parameterized Neural Networks
Simon Du · Xiyu Zhai · Barnabás Póczos · Aarti Singh
Oral
Wed 8:15 Deterministic Variational Inference for Robust Bayesian Neural Networks
Anqi Wu · Sebastian Nowozin · Ted Meeds · Richard E Turner · José Miguel Hernández Lobato · Alexander Gaunt
Poster
Wed 14:30 Deep Frank-Wolfe For Neural Network Optimization
Leonard Berrada · Andrew Zisserman · M. Pawan Kumar
Poster
Thu 9:00 Pay Less Attention with Lightweight and Dynamic Convolutions
Felix Wu · Angela Fan · Alexei Baevski · Yann Dauphin · Michael Auli
Poster
Tue 14:30 Towards the first adversarially robust neural network model on MNIST
Lukas Schott · Jonas Rauber · Matthias Bethge · Wieland Brendel
Poster
Tue 14:30 ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai · Ligeng Zhu · Song Han
Oral
Mon 13:30 How Powerful are Graph Neural Networks?
Keyulu Xu · Weihua Hu · Jure Leskovec · Stefanie Jegelka