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Papers

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Efficient and Parsimonious Agnostic Active Learning
Tzu-Kuo Huang, Alekh Agarwal, Daniel J. Hsu et al.
2015 NIPS
Efficient and Robust Automated Machine Learning
Matthias Feurer, Aaron Klein, Katharina Eggensperger et al.
2015 NIPS
Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts
Margret Keuper, Evgeny Levinkov, Nicolas Bonneel et al.
2015 ICCV
2015 AISTATS
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
Pascal Vincent, Alexandre de Brébisson, Xavier Bouthillier
2015 NIPS
Efficient Globally Optimal Consensus Maximisation With Tree Search
Tat-Jun Chin, Pulak Purkait, Anders Eriksson et al.
2015 CVPR
2015 CVPR
Efficient Label Collection for Unlabeled Image Datasets
Maggie Wigness, Bruce A. Draper, J. Ross Beveridge
2015 CVPR
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2015 NIPS
Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Zheng Wen, Branislav Kveton, Azin Ashkan
2015 ICML
Efficient Learning of Linear Separators under Bounded Noise
Pranjal Awasthi, Maria-Florina Balcan, Nika Haghtalab et al.
2015 COLT
Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo
Gottfried Graber, Jonathan Balzer, Stefano Soatto et al.
2015 CVPR
Efficient Non-greedy Optimization of Decision Trees
Mohammad Norouzi, Maxwell Collins, Matthew A Johnson et al.
2015 NIPS
Efficient Object Localization Using Convolutional Networks
Jonathan Tompson, Ross Goroshin, Arjun Jain et al.
2015 CVPR
Efficient Output Kernel Learning for Multiple Tasks
Pratik Kumar Jawanpuria, Maksim Lapin, Matthias Hein et al.
2015 NIPS
Efficient Representations for Lifelong Learning and Autoencoding
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
2015 COLT
2015 CVPR