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107 Results
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Poster
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Wed 18:30 |
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System Chengxu Zhuang · Jonas Kubilius · Mitra JZ Hartmann · Daniel Yamins |
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Poster
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Tue 18:30 |
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning Zhen He · Shaobing Gao · Liang Xiao · Daxue Liu · Hangen He · David Barber |
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Poster
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Mon 18:30 |
Wasserstein Learning of Deep Generative Point Process Models Shuai Xiao · Mehrdad Farajtabar · Xiaojing Ye · Junchi Yan · Xiaokang Yang · Le Song · Hongyuan Zha |
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Poster
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Tue 18:30 |
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples Haw-Shiuan Chang · Erik Learned-Miller · Andrew McCallum |
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Poster
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Wed 18:30 |
Self-Normalizing Neural Networks Günter Klambauer · Thomas Unterthiner · Andreas Mayr · Sepp Hochreiter |
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Poster
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Mon 18:30 |
Working hard to know your neighbor's margins: Local descriptor learning loss Anastasiia Mishchuk · Dmytro Mishkin · Filip Radenovic · Jiri Matas |
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Poster
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Wed 18:30 |
Linear Time Computation of Moments in Sum-Product Networks Han Zhao · Geoffrey Gordon |
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Poster
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Tue 18:30 |
Learning Affinity via Spatial Propagation Networks Sifei Liu · Shalini De Mello · Jinwei Gu · Guangyu Zhong · Ming-Hsuan Yang · Jan Kautz |
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Poster
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Mon 18:30 |
A Bayesian Data Augmentation Approach for Learning Deep Models Toan Tran · Trung Pham · Gustavo Carneiro · Lyle Palmer · Ian Reid |
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Poster
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Tue 18:30 |
An inner-loop free solution to inverse problems using deep neural networks Kai Fan · Qi Wei · Lawrence Carin · Katherine Heller |
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Poster
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Mon 18:30 |
Fader Networks:Manipulating Images by Sliding Attributes Guillaume Lample · Neil Zeghidour · Nicolas Usunier · Antoine Bordes · Ludovic DENOYER · Marc'Aurelio Ranzato |
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Poster
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Tue 18:30 |
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities Michael Eickenberg · Georgios Exarchakis · Matthew Hirn · Stephane Mallat |