Representation

Exploiting Ontology Structures and Unlabeled Data for Learning ICML 2013 Improving Predictive Specificity of Description Logic Learners by Fortification ACML 2013 Modeling Temporal Evolution and Multiscale Structure in Networks ICML 2013 NEIL: Extracting Visual Knowledge from Web Data ICCV 2013 Network Principles for SfM: Disambiguating Repeated Structures with Local Context ICCV 2013 Reasoning With Neural Tensor Networks for Knowledge Base Completion NeurIPS 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Translating Embeddings for Modeling Multi-relational Data NeurIPS 2013 Unsupervised Structure Learning of Stochastic And-Or Grammars NeurIPS 2013 Visual Semantic Complex Network for Web Images ICCV 2013 A latent factor model for highly multi-relational data NeurIPS 2012 Human memory search as a random walk in a semantic network NeurIPS 2012 Learning and Model-Checking Networks of I/O Automata ACML 2012 Learning Networks of Heterogeneous Influence NeurIPS 2012 On Lifting the Gibbs Sampling Algorithm NeurIPS 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Two-way Parallel Class Expression Learning ACML 2012 Advice Refinement in Knowledge-Based SVMs NeurIPS 2011 Inverting Grice's Maxims to Learn Rules from Natural Language Extractions NeurIPS 2011 Kernel Embeddings of Latent Tree Graphical Models NeurIPS 2011 Learning Higher-Order Graph Structure with Features by Structure Penalty NeurIPS 2011 Learning Rules from Incomplete Examples via Implicit Mention Models ACML 2011 On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference NeurIPS 2011 Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011 See the Tree Through the Lines: The Shazoo Algorithm NeurIPS 2011