Papers
What is the Most Efficient Way to Select Nearest Neighbor Candidates for Fast Approximate Nearest Neighbor Search?
Masakazu Iwamura, Tomokazu Sato, Koichi Kise
What Makes a Patch Distinct?
Ran Margolin, Ayellet Tal, Lihi Zelnik-Manor
What Object Motion Reveals about Shape with Unknown BRDF and Lighting
Manmohan Chandraker, Dikpal Reddy, Yizhou Wang et al.
What's in a Name? First Names as Facial Attributes
Huizhong Chen, Andrew C. Gallagher, Bernd Girod
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
Anima Anandkumar, Daniel J. Hsu, Majid Janzamin et al.
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements
Divyanshu Vats, Richard Baraniuk
Which Space Partitioning Tree to Use for Search?
Parikshit Ram, Alexander Gray
Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow
Brian Potetz, Mohammadreza Hajiarbabi
Why Steiner-tree type algorithms work for community detection
Mung Chiang, Henry Lam, Zhenming Liu et al.
Wide-Baseline Hair Capture Using Strand-Based Refinement
Linjie Luo, Cha Zhang, Zhengyou Zhang et al.
Winding Number for Region-Boundary Consistent Salient Contour Extraction
Yansheng Ming, Hongdong Li, Xuming He
Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions
Mohamed Elhoseiny, Babak Saleh, Ahmed Elgammal
YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition
Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar et al.
Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Christopher D. Manning et al.
Σ-Optimality for Active Learning on Gaussian Random Fields
Yifei Ma, Roman Garnett, Jeff Schneider
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
Sanja Fidler, Sven Dickinson, Raquel Urtasun
A Bayesian Analysis of the Radioactive Releases of Fukushima
Ryota Tomioka, Morten Mrup
A Bayesian Approach for Policy Learning from Trajectory Preference Queries
Aaron Wilson, Alan Fern, Prasad Tadepalli
A Better Way to Pretrain Deep Boltzmann Machines
Geoffrey E. Hinton, Ruslan Salakhutdinov
A Case Study on Meta-Generalising: A Gaussian Processes Approach
Grigorios Skolidis, Guido Sanguinetti
Accelerated Training for Matrix-norm Regularization: A Boosting Approach
Xinhua Zhang, Dale Schuurmans, Yao-liang Yu
Accuracy at the Top
Stephen Boyd, Corinna Cortes, Mehryar Mohri et al.
A Characterization of Scoring Rules for Linear Properties
Jacob D. Abernethy, Rafael M. Frongillo
A Comparison of the Lasso and Marginal Regression
Christopher R. Genovese, Jiashun Jin, Larry Wasserman et al.
A Composite Likelihood View for Multi-Label Classification
Yi Zhang, Jeff Schneider