Reasoning

Interpretable Question Answering on Knowledge Bases and Text ACL 2019 Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding AISTATS 2019 Intervening on Network Ties UAI 2019 Inverse Abstraction of Neural Networks Using Symbolic Interpolation AAAI 2019 Iterated Belief Base Revision: A Dynamic Epistemic Logic Approach AAAI 2019 Joint Semantic and Distributional Word Representations with Multi-Graph Embeddings EMNLP 2019 KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning EMNLP 2019 Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs EMNLP 2019 Learning by Abstraction: The Neural State Machine NeurIPS 2019 Learning Compact Models for Planning with Exogenous Processes CoRL 2019 Learning Deterministic Weighted Automata with Queries and Counterexamples NeurIPS 2019 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 Mixed-Curvature Representations in Product Spaces ICLR 2019 Learning Optimal Fair Policies ICML 2019 Learning the Structure of a Nonstationary Vector Autoregression AISTATS 2019 Learning to Explain: Answering Why-Questions via Rephrasing ACL 2019 Learning to Transfer Relational Representations through Analogy AAAI 2019 Logical Explanations for Deep Relational Machines Using Relevance Information JMLR 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 Minimum Intervention Cover of a Causal Graph AAAI 2019 Mixed-World Reasoning with Existential Rules under Active-Domain Semantics IJCAI 2019