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Poster
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Thu 9:00
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Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
Andrew Foong · Wessel Bruinsma · Jonathan Gordon · Yann Dubois · James Requeima · Richard Turner
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Workshop
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Poster: R-LAtte: Visual Control via Deep Reinforcement Learning with Attention Network
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Poster
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Thu 9:00
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Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang · Peng Li
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Poster
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Thu 9:00
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Characterizing emergent representations in a space of candidate learning rules for deep networks
Yinan Cao · Christopher Summerfield · Andrew Saxe
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Spotlight
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Thu 8:00
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Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang · Peng Li
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Workshop
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A Bayesian Unsupervised Deep-Learning Based Approach for Deformable Image Registration
Samah Khawaled
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Poster
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Tue 9:00
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Synthetic Data Generators -- Sequential and Private
Olivier Bousquet · Roi Livni · Shay Moran
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Poster
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Wed 9:00
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An analytic theory of shallow networks dynamics for hinge loss classification
Franco Pellegrini · Giulio Biroli
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Workshop
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Session B, Poster 25: Learning For Integer-Constrained Optimization Through Neural Networks With Limited Training
Zhou Zhou
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Workshop
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Sat 16:31
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Invited Talk - Chaok Seok: Ab initio protein structure prediction by global optimization of neural network energy: Can AI learn physics?
Chaok Seok
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Spotlight
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Thu 8:20
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DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
Dennis Wei · Tian Gao · Yue Yu
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Poster
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Thu 9:00
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DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
Dennis Wei · Tian Gao · Yue Yu
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