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Methodology
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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
Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation
AAAI 2026
Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection
AAAI 2026
Bidirectional Counterfactual Distillation for Review-Based Recommendation
AAAI 2026
ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution
AAAI 2026
Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure
AAAI 2026
Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning
AAAI 2026
State Mamba: Spatiotemporal EEG State-Space Model with Dynamic Brain Alignment for Cross-Subject Representation
AAAI 2026
Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments
AAAI 2026
Closer to Biological Mechanism: Drug-Drug Interaction Prediction from the Perspective of Pharmacophore
AAAI 2026
GCIB: Causal Intervention Guided Graph Information Bottleneck Framework
AAAI 2026
Learning Fair Graph Representations via Probability of Necessity and Sufficiency
AAAI 2026
Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering
AAAI 2026
State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis
AAAI 2026
Counterfactual-Driven Zero-Shot Classifier Expansion
AAAI 2026
CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations
AAAI 2026
Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation
AAAI 2026
Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation
AAAI 2026
GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents
AAAI 2026
Beyond World Models: Rethinking Understanding in AI Models
AAAI 2026
Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model
AAAI 2026
The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation
AAAI 2026
Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities
AAAI 2026
KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education
AAAI 2026
A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination
AAAI 2026
Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems
AAAI 2026
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