Artificial Intelligence

Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models NeurIPS 2015 Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery JMLR 2015 Understanding and Diagnosing Visual Tracking Systems ICCV 2015 Understanding Classifier Errors by Examining Influential Neighbors CVPR 2015 Understanding Everyday Hands in Action From RGB-D Images ICCV 2015 Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition CVPR 2015 Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees AISTATS 2015 Universal Value Function Approximators ICML 2015 Unlocking neural population non-stationarities using hierarchical dynamics models NeurIPS 2015 Unsupervised Domain Adaptation for Zero-Shot Learning ICCV 2015 Unsupervised Learning by Program Synthesis NeurIPS 2015 Unsupervised Learning of Video Representations using LSTMs ICML 2015 Variational Dropout and the Local Reparameterization Trick NeurIPS 2015 Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015 Variational Inference for Gaussian Process Modulated Poisson Processes ICML 2015 Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning NeurIPS 2015 Vector-Space Markov Random Fields via Exponential Families ICML 2015 Vector-Valued Property Elicitation COLT 2015 VisKE: Visual Knowledge Extraction and Question Answering by Visual Verification of Relation Phrases CVPR 2015 VQA: Visual Question Answering ICCV 2015 WASP: Scalable Bayes via barycenters of subset posteriors AISTATS 2015 Weakly-Supervised Alignment of Video With Text ICCV 2015 Weight Uncertainty in Neural Network ICML 2015 What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions? CVPR 2015 What Makes an Object Memorable? ICCV 2015