Knowledge & Reasoning

Learning Features and Abstract Actions for Computing Generalized Plans AAAI 2019 Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer IJCAI 2019 Learning How to Ground a Plan – Partial Grounding in Classical Planning AAAI 2019 Learning Interpretable Relational Structures of Hinge-loss Markov Random Fields IJCAI 2019 Learning Mixed-Curvature Representations in Product Spaces ICLR 2019 Learning Optimal Fair Policies ICML 2019 Learning Relational Representations by Analogy using Hierarchical Siamese Networks NAACL 2019 Learning Relational Representations with Auto-encoding Logic Programs IJCAI 2019 Learning Semantic Annotations for Tabular Data IJCAI 2019 Learning the Structure of a Nonstationary Vector Autoregression AISTATS 2019 Learning to Detect Human-Object Interactions With Knowledge CVPR 2019 Learning to Explain: Answering Why-Questions via Rephrasing ACL 2019 Learning to Transfer Relational Representations through Analogy AAAI 2019 LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion AAAI 2019 Linguistically-Driven Strategy for Concept Prerequisites Learning on Italian ACL 2019 Linking Educational Resources on Data Science AAAI 2019 Logical Explanations for Deep Relational Machines Using Relevance Information JMLR 2019 Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding AAAI 2019 Logic-Based Sequential Decision-Making AAAI 2019 LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning IJCAI 2019 Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments NeurIPS 2019 Machine Reading Comprehension Using Structural Knowledge Graph-aware Network EMNLP 2019 Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption UAI 2019 Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs EMNLP 2019 Meta-Semantic Representation for Early Detection of Alzheimer’s Disease ACL 2019