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46 Results
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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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Tue 14:30 |
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional Clustering Xiaopeng Li · Zhourong Chen · Leonard Poon · Nevin Zhang |
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Poster
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Tue 9:00 |
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel · Paul Hand |
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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 |
Mode Normalization Lucas Deecke · Iain Murray · Hakan Bilen |
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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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Workshop
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Mon 13:15 |
Deep Generative Models for Highly Structured Data Adji Bousso Dieng · Yoon Kim · Siva Reddy · Kyunghyun Cho · Chris Dyer · David Blei · Phil Blunsom |
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Poster
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Tue 14:30 |
Towards the first adversarially robust neural network model on MNIST Lukas Schott · Jonas Rauber · Matthias Bethge · Wieland Brendel |
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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 |
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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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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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Wed 9:00 |
Analysing Mathematical Reasoning Abilities of Neural Models David Saxton · Edward Grefenstette · Felix Hill · Pushmeet Kohli |