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Methodology
← Core AI
Artificial Intelligence
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Core AI
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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
Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
IJCAI 2024
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning
AAAI 2024
PHSIC against Random Consistency and Its Application in Causal Inference
IJCAI 2024
Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa
IJCAI 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
IJCAI 2024
KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation
IJCAI 2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees
AAAI 2024
Causal vs. Anticausal merging of predictors
NIPS 2024
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
NIPS 2024
Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching
AAAI 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
IJCAI 2024
Information-Theoretic Opacity-Enforcement in Markov Decision Processes
IJCAI 2024
In Pursuit of Causal Label Correlations for Multi-label Image Recognition
NIPS 2024
Mapping Long-term Causalities in Psychiatric Symptomatology and Life Events from Social Media
NAACL 2024
Optimization Under Epistemic Uncertainty Using Prediction
IJCAI 2024
What’s wrong with your model? A Quantitative Analysis of Relation Classification
NAACL 2024
KCLab at Chemotimelines 2024: End-to-end system for chemotherapy timeline extraction – Subtask2
NAACL 2024
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
NIPS 2024
More than Just Statistical Recurrence: Human and Machine Unsupervised Learning of Māori Word Segmentation across Morphological Processes
NAACL 2024
A Bayesian Quantification of Aporophobia and the Aggravating Effect of Low–Wealth Contexts on Stigmatization
NAACL 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction
NIPS 2024
What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?
NAACL 2024
COLD: Causal reasOning in cLosed Daily activities
NIPS 2024
Fact Checking Beyond Training Set
NAACL 2024
On the Way to Gentle AI Counselor: Politeness Cause Elicitation and Intensity Tagging in Code-mixed Hinglish Conversations for Social Good
NAACL 2024
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