Knowledge & Reasoning

General Control Functions for Causal Effect Estimation from IVs NeurIPS 2020 Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs NeurIPS 2020 Generalized Optimal Matching Methods for Causal Inference JMLR 2020 Generalized Planning with Positive and Negative Examples AAAI 2020 Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths AACL 2020 Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs AAAI 2020 Generative causal explanations of black-box classifiers NeurIPS 2020 Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment IJCAI 2020 GLUCOSE: GeneraLized and COntextualized Story Explanations EMNLP 2020 Graph-based Syntactic Word Embeddings COLING 2020 GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems EMNLP 2020 Graph Neural Architecture Search IJCAI 2020 Graph Representations for Higher-Order Logic and Theorem Proving AAAI 2020 Graph-Structured Referring Expression Reasoning in the Wild CVPR 2020 HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems AAAI 2020 Heterogeneous Network Representation Learning IJCAI 2020 High-recall causal discovery for autocorrelated time series with latent confounders NeurIPS 2020 HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification EMNLP 2020 How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines IJCAI 2020 Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications AAAI 2020 Hypergraph Convolutional Network for Multi-Hop Knowledge Base Question Answering (Student Abstract) AAAI 2020 IDA with Background Knowledge UAI 2020 Identifiability of Additive Noise Models Using Conditional Variances JMLR 2020 Identification and Estimation of Causal Effects Defined by Shift Interventions UAI 2020 IKBT: Solving Symbolic Inverse Kinematics with Behavior Tree (Extended Abstract) IJCAI 2020