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Methodology
← Reasoning
Knowledge & Reasoning
›
Reasoning
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Causal Inference
934 directly classified papers
Papers per year
2006: 3
2007: 2
2008: 9
2009: 5
2010: 8
2011: 5
2012: 4
2013: 11
2014: 7
2015: 11
2016: 18
2017: 14
2018: 32
2019: 69
2020: 91
2021: 82
2022: 129
2023: 158
2024: 160
2025: 107
2026: 9
Papers
Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension
ACL 2023
Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency
JMLR 2023
A Rule-Based Modal View of Causal Reasoning
IJCAI 2023
Learning Event-Relevant Factors for Video Anomaly Detection
AAAI 2023
Discourse Information for Document-Level Temporal Dependency Parsing
ACL 2023
CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension
EACL 2023
On the Complexity of Counterfactual Reasoning
IJCAI 2023
CauSE: Causal Search Engine for Understanding Contact-Center Conversations
INTERSPEECH 2023
Language Model Analysis for Ontology Subsumption Inference
ACL 2023
Knowledge Graph-augmented Language Models for Complex Question Answering
ACL 2023
The Hardness of Reasoning about Probabilities and Causality
IJCAI 2023
Linear Causal Disentanglement via Interventions
ICML 2023
Estimating Possible Causal Effects with Latent Variables via Adjustment
ICML 2023
Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths
ACL 2023
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
JMLR 2023
Towards Trustworthy Explanation: On Causal Rationalization
ICML 2023
Counterfactual Identifiability of Bijective Causal Models
ICML 2023
Causality-aware Concept Extraction based on Knowledge-guided Prompting
ACL 2023
Can ChatGPT Understand Causal Language in Science Claims?
ACL 2023
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders
ICML 2023
Normalizing Flows for Interventional Density Estimation
ICML 2023
Inference for a Large Directed Acyclic Graph with Unspecified Interventions
JMLR 2023
Causal Structure Learning for Latent Intervened Non-stationary Data
ICML 2023
Covariate balancing using the integral probability metric for causal inference
ICML 2023
Evaluating Instrument Validity using the Principle of Independent Mechanisms
JMLR 2023
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