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Poster
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Mon 9:00
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Learning a Metric Embedding for Face Recognition using the Multibatch Method
Oren Tadmor · Tal Rosenwein · Shai Shalev-Shwartz · Yonatan Wexler · Amnon Shashua
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Poster
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Mon 9:00
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Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition
Jinzhuo Wang · Wenmin Wang · xiongtao Chen · Ronggang Wang · Wen Gao
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Poster
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Wed 9:00
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Swapout: Learning an ensemble of deep architectures
Saurabh Singh · Derek Hoiem · David Forsyth
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Poster
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Mon 9:00
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Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning
Mehdi Sajjadi · Mehran Javanmardi · Tolga Tasdizen
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Poster
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Wed 9:00
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Learning Sensor Multiplexing Design through Back-propagation
Ayan Chakrabarti
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Poster
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Wed 9:00
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Learning Deep Embeddings with Histogram Loss
Evgeniya Ustinova · Victor Lempitsky
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Oral
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Wed 1:40
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Large-Scale Price Optimization via Network Flow
Shinji Ito · Ryohei Fujimaki
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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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Wed 9:00
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Large-Scale Price Optimization via Network Flow
Shinji Ito · Ryohei Fujimaki
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Poster
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Wed 9:00
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Dialog-based Language Learning
Jason E Weston
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Poster
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Tue 9:00
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Integrated perception with recurrent multi-task neural networks
Hakan Bilen · Andrea Vedaldi
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Poster
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Tue 9:00
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Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
Ayan Chakrabarti · Jingyu Shao · Greg Shakhnarovich
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