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Artificial Intelligence
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Core AI
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Causal Inference
3,310 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
Do Differences in Values Influence Disagreements in Online Discussions?
EMNLP 2023
Togedemaru at SemEval-2023 Task 8: Causal Medical Claim Identification and Extraction from Social Media Posts
ACL 2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback
ICML 2023
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions
NIPS 2023
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract)
AAAI 2023
Spatial Correspondence between Graph Neural Network-Segmented Images
MIDL 2023
Backdoor Defense via Deconfounded Representation Learning
CVPR 2023
Optimal Transport for Treatment Effect Estimation
NIPS 2023
Collaborative Causal Inference with Fair Incentives
ICML 2023
Task-specific experimental design for treatment effect estimation
ICML 2023
Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension
ACL 2023
Counterfactual Generation with Identifiability Guarantees
NIPS 2023
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
NIPS 2023
Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies
ACL 2023
Safe Sequential Testing and Effect Estimation in Stratified Count Data
AISTATS 2023
Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion
EMNLP 2023
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
JMLR 2023
COMET-M: Reasoning about Multiple Events in Complex Sentences
EMNLP 2023
Layout-Based Causal Inference for Object Navigation
CVPR 2023
Misspecification in Inverse Reinforcement Learning
AAAI 2023
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing
NIPS 2023
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
NIPS 2023
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models
ACL 2023
Causal Bandits for Linear Structural Equation Models
JMLR 2023
SSNSheerinKavitha at SemEval-2023 Task 7: Semantic Rule Based Label Prediction Using TF-IDF and BM25 Techniques
SEMEVAL 2023
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