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200 Results
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Poster
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Wed 9:00 |
How to train your MAML Antreas Antoniou · Harrison Edwards · Amos Storkey |
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Oral
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Mon 13:30 |
How Powerful are Graph Neural Networks? Keyulu Xu · Weihua Hu · Jure Leskovec · Stefanie Jegelka |
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Oral
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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 |
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Poster
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Tue 14:30 |
INVASE: Instance-wise Variable Selection using Neural Networks Jinsung Yoon · James Jordon · Mihaela Schaar |
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Poster
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Wed 9:00 |
Two-Timescale Networks for Nonlinear Value Function Approximation Wesley Chung · Somjit Nath · Ajin Joseph · Martha White |
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Oral
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Thu 8:30 |
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks Yikang Shen · Shawn Tan · Alessandro Sordoni · Aaron Courville |
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Poster
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Thu 9:00 |
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks Joshua Michalenko · Ameesh Shah · Abhinav Verma · Richard Baraniuk · Swarat Chaudhuri · Ankit B Patel |
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Oral
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Wed 8:00 |
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks James Jordon · Jinsung Yoon · Mihaela Schaar |
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Oral
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Wed 7:45 |
Learning deep representations by mutual information estimation and maximization R Devon Hjelm · Alex Fedorov · Samuel Lavoie · Karan Grewal · Philip Bachman · Adam Trischler · Yoshua Bengio |
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Oral
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Tue 13:15 |
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramer · Dan Boneh |
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Oral
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Mon 13:45 |
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle · Michael Carbin |
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Poster
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Wed 14:30 |
Deep Layers as Stochastic Solvers Adel Bibi · Bernard Ghanem · Vladlen Koltun · Rene Ranftl |