Artificial Intelligence

Latent Task Adaptation with Large-Scale Hierarchies ICCV 2013 LDA Topic Model with Soft Assignment of Descriptors to Words ICML 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Learning a Deep Compact Image Representation for Visual Tracking NeurIPS 2013 Learning and using language via recursive pragmatic reasoning about other agents NeurIPS 2013 Learning Chordal Markov Networks by Constraint Satisfaction NeurIPS 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NeurIPS 2013 Learning Feature Selection Dependencies in Multi-task Learning NeurIPS 2013 Learning from Limited Demonstrations NeurIPS 2013 Learning Gaussian Graphical Models with Observed or Latent FVSs NeurIPS 2013 Learning Graphs to Match ICCV 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Learning Linear Bayesian Networks with Latent Variables ICML 2013 Learning Locally-Adaptive Decision Functions for Person Verification CVPR 2013 Learning Markov Networks With Arithmetic Circuits AISTATS 2013 Learning Multi-level Sparse Representations NeurIPS 2013 Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space ICML 2013 Learning Policies for Contextual Submodular Prediction ICML 2013 Learning Prices for Repeated Auctions with Strategic Buyers NeurIPS 2013 Learning Slow Features for Behaviour Analysis ICCV 2013 Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013 Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation ICML 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Learning Stochastic Inverses NeurIPS 2013