Artificial Intelligence

Improved Multimodal Deep Learning with Variation of Information NeurIPS 2014 Improving Markov Network Structure Learning Using Decision Trees JMLR 2014 Inconsistency of Pitman-Yor Process Mixtures for the Number of Components JMLR 2014 Incremental Local Gaussian Regression NeurIPS 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014 Inferning with High Girth Graphical Models ICML 2014 Inferring Analogous Attributes CVPR 2014 Inferring synaptic conductances from spike trains with a biophysically inspired point process model NeurIPS 2014 Inferring Unseen Views of People CVPR 2014 Information-based learning by agents in unbounded state spaces NeurIPS 2014 Information Theoretical Estimators Toolbox JMLR 2014 Instance-weighted Transfer Learning of Active Appearance Models CVPR 2014 Interval Tracker: Tracking by Interval Analysis CVPR 2014 Iterative Multilevel MRF Leveraging Context and Voxel Information for Brain Tumour Segmentation in MRI CVPR 2014 Iterative Neural Autoregressive Distribution Estimator NADE-k NeurIPS 2014 Kernel Adaptive Metropolis-Hastings ICML 2014 Latent Confusion Analysis by Normalized Gamma Construction ICML 2014 Latent Gaussian Models for Topic Modeling AISTATS 2014 Learning Articulated Motions From Visual Demonstration RSS 2014 Learning Deep Features for Scene Recognition using Places Database NeurIPS 2014 Learning Heterogeneous Hidden Markov Random Fields AISTATS 2014 Learning Latent Variable Gaussian Graphical Models ICML 2014 Learning Mixtures of Ranking Models NeurIPS 2014 Learning Modular Structures from Network Data and Node Variables ICML 2014 Learning Multiple Tasks in Parallel with a Shared Annotator NeurIPS 2014