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Causal Inference

1,197 papers

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Papers

Enhancing Model Robustness and Fairness with Causality: A Regularization Approach EMNLP 2021 Equivalent Causal Models AAAI 2021 Event-Centric Natural Language Processing ACL 2021 ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning ACL 2021 Explanations for Occluded Images ICCV 2021 Exploiting Equality Constraints in Causal Inference AISTATS 2021 Exploiting Reasoning Chains for Multi-hop Science Question Answering EMNLP 2021 Extracting a Knowledge Base of Mechanisms from COVID-19 Papers NAACL 2021 Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks EMNLP 2021 FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference JMLR 2021 Generating Hypothetical Events for Abductive Inference ACL 2021 How to Gain on Power: Novel Conditional Independence Tests Based on Short Expansion of Conditional Mutual Information JMLR 2021 Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NeurIPS 2021 Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community EMNLP 2021 “I’m Not Mad”: Commonsense Implications of Negation and Contradiction NAACL 2021 Improving Causal Discovery By Optimal Bayesian Network Learning AAAI 2021 Improving Causal Inference by Increasing Model Expressiveness AAAI 2021 Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection EMNLP 2021 Incorporating External Knowledge to Enhance Tabular Reasoning NAACL 2021 Inference of causal effects when control variables are unknown UAI 2021 Interventional Video Grounding With Dual Contrastive Learning CVPR 2021 Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias NeurIPS 2021 Knowledge-Enhanced Evidence Retrieval for Counterargument Generation EMNLP 2021 Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021 Learning Faithful Representations of Causal Graphs ACL 2021