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Poster
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Mon 9:00
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SoundNet: Learning Sound Representations from Unlabeled Video
Yusuf Aytar · Carl Vondrick · Antonio Torralba
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Poster
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Mon 9:00
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Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution
Christopher W Lynn · Daniel Lee
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Poster
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Mon 9:00
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A Powerful Generative Model Using Random Weights for the Deep Image Representation
Kun He · Yan Wang · John Hopcroft
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Poster
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Mon 9:00
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A Bio-inspired Redundant Sensing Architecture
Anh Tuan Nguyen · Jian Xu · Zhi Yang
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Poster
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Mon 9:00
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An Architecture for Deep, Hierarchical Generative Models
Philip Bachman
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Poster
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Mon 9:00
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Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods
Lev Bogolubsky · Pavel Dvurechenskii · Alexander Gasnikov · Gleb Gusev · Yurii Nesterov · Andrei M Raigorodskii · Aleksey Tikhonov · Maksim Zhukovskii
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Poster
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Mon 9:00
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Higher-Order Factorization Machines
Mathieu Blondel · Akinori Fujino · Naonori Ueda · Masakazu Ishihata
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Poster
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Mon 9:00
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Completely random measures for modelling block-structured sparse networks
Tue Herlau · Mikkel N Schmidt · Morten Mørup
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Poster
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Mon 9:00
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Linear Relaxations for Finding Diverse Elements in Metric Spaces
Aditya Bhaskara · Mehrdad Ghadiri · Vahab Mirrokni · Ola Svensson
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Poster
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Mon 9:00
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MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
Gregory Rogez · Cordelia Schmid
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Poster
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Mon 9:00
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Object based Scene Representations using Fisher Scores of Local Subspace Projections
Mandar D Dixit · Nuno Vasconcelos
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Tutorial
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Mon 2:00
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Nuts and Bolts of Building Applications using Deep Learning
Andrew Ng
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