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Papers

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Deep Gaussian Processes for Regression using Approximate Expectation Propagation
Thang Bui, Daniel Hernandez-Lobato, Jose Hernandez-Lobato et al.
2016 ICML
Deep Interactive Object Selection
Ning Xu, Brian Price, Scott Cohen et al.
2016 CVPR
Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov et al.
2016 AISTATS
Deep Learning for Predicting Human Strategic Behavior
Jason S Hartford, James R Wright, Kevin Leyton-Brown
2016 NIPS
Deep Learning Games
Dale Schuurmans, Martin A Zinkevich
2016 NIPS
Deep Learning Models of the Retinal Response to Natural Scenes
Lane McIntosh, Niru Maheswaranathan, Aran Nayebi et al.
2016 NIPS
2016 NIPS
2016 CVPR
DeepMath - Deep Sequence Models for Premise Selection
Geoffrey Irving, Christian Szegedy, Alexander A Alemi et al.
2016 NIPS
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song, Yu Xiang, Stefanie Jegelka et al.
2016 CVPR
2016 INTERSPEECH
2016 INTERSPEECH
Deep Neural Networks for i-Vector Language Identification of Short Utterances in Cars
Omid Ghahabi, Antonio Bonafonte, Javier Hernando et al.
2016 INTERSPEECH
2016 INTERSPEECH
Deep Neural Networks with Inexact Matching for Person Re-Identification
Arulkumar Subramaniam, Moitreya Chatterjee, Anurag Mittal
2016 NIPS
Deep Reflectance Maps
Konstantinos Rematas, Tobias Ritschel, Mario Fritz et al.
2016 CVPR
2016 CVPR
2016 CVPR
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren et al.
2016 CVPR
Deep SimNets
Nadav Cohen, Or Sharir, Amnon Shashua
2016 CVPR