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Methodology
← Core AI
Artificial Intelligence
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Causal Inference
3310 directly classified papers
Papers per year
2002: 1
2003: 2
2004: 1
2005: 2
2006: 7
2007: 6
2008: 9
2009: 9
2010: 15
2011: 8
2012: 15
2013: 32
2014: 16
2015: 28
2016: 39
2017: 62
2018: 98
2019: 201
2020: 277
2021: 372
2022: 426
2023: 511
2024: 601
2025: 389
2026: 183
Papers
From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
ACL 2021
Treatment Effect Estimation with Disentangled Latent Factors
AAAI 2021
ACRE: Abstract Causal REasoning Beyond Covariation
CVPR 2021
Counterfactual VQA: A Cause-Effect Look at Language Bias
CVPR 2021
CDˆ2CR: Co-reference resolution across documents and domains
EACL 2021
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
CVPR 2021
Disambiguatory Signals are Stronger in Word-initial Positions
EACL 2021
Partisanship and Fear are Associated with Resistance to COVID-19 Directives
EACL 2021
Joint Coreference Resolution and Character Linking for Multiparty Conversation
EACL 2021
Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction
CONLL 2021
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection
IJCNLP 2021
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models
AAAI 2021
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
AAAI 2021
Measuring Dependence with Matrix-based Entropy Functional
AAAI 2021
A Generative Adversarial Framework for Bounding Confounded Causal Effects
AAAI 2021
Factoring Statutory Reasoning as Language Understanding Challenges
IJCNLP 2021
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
IJCNLP 2021
De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
IJCNLP 2021
Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks
IJCNLP 2021
Estimation and Optimization of Composite Outcomes
JMLR 2021
Regularizing towards Causal Invariance: Linear Models with Proxies
ICML 2021
Learning Event Graph Knowledge for Abductive Reasoning
IJCNLP 2021
Counterfactual Inference for Text Classification Debiasing
IJCNLP 2021
Scalable Intervention Target Estimation in Linear Models
NIPS 2021
Reliable Decisions with Threshold Calibration
NIPS 2021
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