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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
Symmetry and Group in Attribute-Object Compositions
CVPR 2020
Discovering Human Interactions With Novel Objects via Zero-Shot Learning
CVPR 2020
Geometrically Principled Connections in Graph Neural Networks
CVPR 2020
CookGAN: Causality Based Text-to-Image Synthesis
CVPR 2020
Unbiased Scene Graph Generation From Biased Training
CVPR 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback
NIPS 2020
Active Structure Learning of Causal DAGs via Directed Clique Trees
NIPS 2020
Probabilistic Reasoning Across the Causal Hierarchy
AAAI 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation
NIPS 2020
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
NIPS 2020
Learning Robust Decision Policies from Observational Data
NIPS 2020
Alleviating Privacy Attacks via Causal Learning
ICML 2020
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training
ICML 2020
Tuning Causal Discovery Algorithms
PGM 2020
Learning Optimal Cyclic Causal Graphs from Interventional Data
PGM 2020
Knowledge Transfer for Learning Markov Equivalence Classes
PGM 2020
Invariant Causal Prediction for Block MDPs
ICML 2020
A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network
ACML 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
ICML 2020
Deep PQR: Solving Inverse Reinforcement Learning using Anchor Actions
ICML 2020
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies
ICML 2020
Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models
L4DC 2020
Learning Dynamical Systems with Side Information
L4DC 2020
Kernel Conditional Moment Test via Maximum Moment Restriction
UAI 2020
Robust causal inference under covariate shift via worst-case subpopulation treatment effects
COLT 2020
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