Causal Inference
1,197 papers
Papers per year
3
2
9
5
8
5
4
11
8
13
18
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35
65
95
84
132
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52
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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