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Causal Inference

934 directly classified papers

Papers per year

Papers

ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning ACL 2021
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction ICML 2021
Distilling Causal Effect of Data in Class-Incremental Learning CVPR 2021
Interventional Video Grounding With Dual Contrastive Learning CVPR 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression ICML 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach ICML 2021
Event-Centric Natural Language Processing ACL 2021
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction ACL 2021
Uncertain Decisions Facilitate Better Preference Learning NIPS 2021
“I’m Not Mad”: Commonsense Implications of Negation and Contradiction NAACL 2021
Incorporating External Knowledge to Enhance Tabular Reasoning NAACL 2021
The Counterfactual NESS Definition of Causation AAAI 2021
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers NAACL 2021
Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network NAACL 2021
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits NIPS 2021
Matching a Desired Causal State via Shift Interventions NIPS 2021
Learning latent causal graphs via mixture oracles NIPS 2021
Causal Inference for Event Pairs in Multivariate Point Processes NIPS 2021
Meta Learning for Causal Direction AAAI 2021
Domain adaptation under structural causal models JMLR 2021
CovRelex: A COVID-19 Retrieval System with Relation Extraction EACL 2021
Causal Autoregressive Flows AISTATS 2021
Differentiable Causal Discovery Under Unmeasured Confounding AISTATS 2021
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction EMNLP 2021
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States EMNLP 2021