Papers
Wavelets on Graphs via Deep Learning
Raif Rustamov, Leonidas Guibas
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach
Zhenwen Dai, Georgios Exarchakis, Jörg Lücke
What do row and column marginals reveal about your dataset?
Behzad Golshan, John Byers, Evimaria Terzi
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
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
3D Social Saliency from Head-mounted Cameras
Hyun S. Park, Eakta Jain, Yaser Sheikh
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
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 Conditional Multinomial Mixture Model for Superset Label Learning
Liping Liu, Thomas G. Dietterich
A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation
Aaron Defazio, Tibério S. Caetano
Action-Model Based Multi-agent Plan Recognition
Hankz H. Zhuo, Qiang Yang, Subbarao Kambhampati
Active Comparison of Prediction Models
Christoph Sawade, Niels Landwehr, Tobias Scheffer
Active Learning of Model Evidence Using Bayesian Quadrature
Michael Osborne, Roman Garnett, Zoubin Ghahramani et al.
Active Learning of Multi-Index Function Models
Tyagi Hemant, Volkan Cevher
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting
Amadou Ba, Mathieu Sinn, Yannig Goude et al.
Adaptive Stratified Sampling for Monte-Carlo integration of Differentiable functions
Alexandra Carpentier, Rémi Munos
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation
Cho-jui Hsieh, Arindam Banerjee, Inderjit S. Dhillon et al.
Affine Independent Variational Inference
Edward Challis, David Barber