Knowledge & Reasoning

Learning and Reasoning for Robot Sequential Decision Making under Uncertainty AAAI 2020 Learning Causal Effects via Weighted Empirical Risk Minimization NeurIPS 2020 Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning EMNLP 2020 Learning Counterfactual Representations for Estimating Individual Dose-Response Curves AAAI 2020 Learning Dynamic Context Graph Embedding ACML 2020 Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning ICLR 2020 Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction AAAI 2020 Learning Interpretable Models in the Property Specification Language IJCAI 2020 Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts ACL 2020 Learning Large Logic Programs By Going Beyond Entailment IJCAI 2020 Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables JMLR 2020 Learning LWF Chain Graphs: A Markov Blanket Discovery Approach UAI 2020 Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020 Learning Physical Common Sense as Knowledge Graph Completion via BERT Data Augmentation and Constrained Tucker Factorization EMNLP 2020 Learning Query Inseparable εℒℋ Ontologies AAAI 2020 Learning Reasoning Strategies in End-to-End Differentiable Proving ICML 2020 Learning solutions to hybrid control problems using Benders cuts L4DC 2020 Learning Strategic Network Emergence Games NeurIPS 2020 Learning to Complement Humans IJCAI 2020 Learning to Correspond Dynamical Systems L4DC 2020 Learning Triple Embeddings from Knowledge Graphs AAAI 2020 Learning Weighted Model Integration Distributions AAAI 2020 Learn to Explain Efficiently via Neural Logic Inductive Learning ICLR 2020 Least General Generalizations in Description Logic: Verification and Existence AAAI 2020 Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements SemEval 2020