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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
Inferring Private Valuations from Behavioral Data in Bilateral Sequential Bargaining
IJCAI 2023
Generalization on the Unseen, Logic Reasoning and Degree Curriculum
ICML 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
AAAI 2023
Causal Inference with Conditional Instruments Using Deep Generative Models
AAAI 2023
Learning Optimal Features via Partial Invariance
AAAI 2023
Estimating Average Causal Effects from Patient Trajectories
AAAI 2023
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
AAAI 2023
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach
AAAI 2023
Disentangled Representation for Causal Mediation Analysis
AAAI 2023
Learning Event-Relevant Factors for Video Anomaly Detection
AAAI 2023
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism
AAAI 2023
Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs
AAAI 2023
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction
AAAI 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
AAAI 2023
Complex Reasoning in Natural Language
ACL 2023
Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization
ACL 2023
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context
ACL 2023
Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network
ACL 2023
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation
ACL 2023
Event Causality Extraction via Implicit Cause-Effect Interactions
EMNLP 2023
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias
EMNLP 2023
Mitigating Biases in Hate Speech Detection from A Causal Perspective
EMNLP 2023
Meta-Causal Learning for Single Domain Generalization
CVPR 2023
Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect
NIPS 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
NIPS 2023
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