Artificial Intelligence

Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014 Sparse binary zero-sum games ACML 2014 Sparse meta-Gaussian information bottleneck ICML 2014 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014 Spectral Learning of Mixture of Hidden Markov Models NeurIPS 2014 Spectral Methods for Indian Buffet Process Inference NeurIPS 2014 SphereFlow: 6 DoF Scene Flow from RGB-D Pairs CVPR 2014 Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning CVPR 2014 Stochastic Regret Minimization via Thompson Sampling COLT 2014 Stochastic variational inference for hidden Markov models NeurIPS 2014 Structured Generative Models of Natural Source Code ICML 2014 Structured Prediction of Network Response ICML 2014 Structured Prediction via Output Space Search JMLR 2014 Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014 Structure learning of antiferromagnetic Ising models NeurIPS 2014 Student-t Processes as Alternatives to Gaussian Processes AISTATS 2014 Submodular Attribute Selection for Action Recognition in Video NeurIPS 2014 Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets NeurIPS 2014 Tell Me Dave: Context-Sensitive Grounding of Natural Language to Manipulation Instructions RSS 2014 The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NeurIPS 2014 The Infinite Mixture of Infinite Gaussian Mixtures NeurIPS 2014 The Large Margin Mechanism for Differentially Private Maximization NeurIPS 2014 The Multi-Agent Navigation Transformation: Tuning-Free Multi-Robot Navigation RSS 2014 The Secrets of Salient Object Segmentation CVPR 2014