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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
Text-Transport: Toward Learning Causal Effects of Natural Language
EMNLP 2023
A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why?
EMNLP 2023
Object Pose Estimation With Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation
CVPR 2023
Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification
CVPR 2023
Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects
CVPR 2023
Context De-Confounded Emotion Recognition
CVPR 2023
Robust Outlier Rejection for 3D Registration With Variational Bayes
CVPR 2023
3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud
CVPR 2023
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations
CVPR 2023
Backdoor Defense via Deconfounded Representation Learning
CVPR 2023
Relational Context Learning for Human-Object Interaction Detection
CVPR 2023
Are Deep Neural Networks SMARTer Than Second Graders?
CVPR 2023
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
CVPR 2023
Causal Effect Identification in Uncertain Causal Networks
NIPS 2023
Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
NIPS 2023
Data Augmentations for Improved (Large) Language Model Generalization
NIPS 2023
Learning Nonparametric Latent Causal Graphs with Unknown Interventions
NIPS 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
NIPS 2023
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets
NIPS 2023
Optimized Covariance Design for AB Test on Social Network under Interference
NIPS 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
NIPS 2023
A Measure-Theoretic Axiomatisation of Causality
NIPS 2023
Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
NIPS 2023
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
NIPS 2023
Analysis of Variance of Multiple Causal Networks
NIPS 2023
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