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11 Results
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Workshop
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Sat 13:30 |
Aude Oliva: Reverse engineering neuroscience and cognitive science principles |
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Poster
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Tue 18:30 |
On The Power of Curriculum Learning in Training Deep Networks Guy Hacohen · Daphna Weinshall |
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Poster
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Wed 18:30 |
Greedy Layerwise Learning Can Scale To ImageNet Eugene Belilovsky · Michael Eickenberg · Edouard Oyallon |
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Poster
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Tue 18:30 |
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data Sergul Aydore · Thirion Bertrand · Gael Varoquaux |
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Poster
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Wed 18:30 |
DeepNose: Using artificial neural networks to represent the space of odorants Ngoc Tran · Daniel Kepple · Sergey Shuvaev · Alexei Koulakov |
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Poster
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Wed 18:30 |
Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization Hesham Mostafa · Xin Wang |
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Poster
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Thu 18:30 |
Geometry and Symmetry in Short-and-Sparse Deconvolution Han-Wen Kuo · Yenson Lau · Yuqian Zhang · John Wright |
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Poster
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Thu 18:30 |
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff · Raphael Lopez Kaufman · Rishabh Kabra · Nicholas Watters · Christopher Burgess · Daniel Zoran · Loic Matthey · Matthew Botvinick · Alexander Lerchner |
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Poster
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Wed 18:30 |
Cognitive model priors for predicting human decisions Joshua C Peterson · David D Bourgin · Daniel Reichman · Thomas Griffiths · Stuart Russell |
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Poster
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Thu 18:30 |
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering Shanmukha Ramakrishna Vedantam · Karan Desai · Stefan Lee · Marcus Rohrbach · Dhruv Batra · Devi Parikh |
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Poster
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Thu 18:30 |
On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference Rohin Shah · Noah Gundotra · Pieter Abbeel · Anca Dragan |