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162 Results
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Poster
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Wed 9:00 |
Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi · Chelsea Finn · Sergey Levine |
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Poster
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Tue 9:00 |
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach Wenda Zhou · Victor Veitch · Morgane Austern · Ryan P Adams · Peter Orbanz |
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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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Poster
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Thu 9:00 |
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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Wed 9:00 |
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing · Theophane Weber · Yori Zwols · Nicolas Heess · Sebastien Racaniere · Arthur Guez · Jean-Baptiste Lespiau |
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Poster
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Wed 14:30 |
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning Michael Lutter · Christian Ritter · Jan Peters |
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Poster
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Tue 9:00 |
Latent Convolutional Models ShahRukh Athar · Evgeny Burnaev · Victor Lempitsky |
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Poster
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Tue 9:00 |
Mode Normalization Lucas Deecke · Iain Murray · Hakan Bilen |
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Poster
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Wed 9:00 |
Meta-Learning Probabilistic Inference for Prediction Jonathan Gordon · John Bronskill · Matthias Bauer · Sebastian Nowozin · Richard E Turner |
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Poster
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Tue 9:00 |
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet Wieland Brendel · Matthias Bethge |
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Poster
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Thu 9:00 |
Detecting Egregious Responses in Neural Sequence-to-sequence Models Tianxing He · James R Glass |
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Poster
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Tue 14:30 |
On Self Modulation for Generative Adversarial Networks Ting Chen · Mario Lucic · Neil Houlsby · Sylvain Gelly |