Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Core AI
Artificial Intelligence
›
Core AI
›
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
Estimating Possible Causal Effects with Latent Variables via Adjustment
ICML 2023
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
ICML 2023
Stable Estimation of Heterogeneous Treatment Effects
ICML 2023
On the Identifiability and Estimation of Causal Location-Scale Noise Models
ICML 2023
On the Expressive Power of Geometric Graph Neural Networks
ICML 2023
Analyzing Diffusion as Serial Reproduction
ICML 2023
Counterfactual Identifiability of Bijective Causal Models
ICML 2023
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
ICML 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
ICML 2023
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?
ICML 2023
Interventional Causal Representation Learning
ICML 2023
Multiply Robust Off-policy Evaluation and Learning under Truncation by Death
ICML 2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis
ICML 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
ICML 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments
ICML 2023
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
ICML 2023
Automatic speaker recognition with variation across vocal conditions: a controlled experiment with implications for forensics
INTERSPEECH 2023
Tonal coarticulation as a cue for upcoming prosodic boundary
INTERSPEECH 2023
Unbiased Heterogeneous Scene Graph Generation with Relation-Aware Message Passing Neural Network
AAAI 2023
KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations
AAAI 2023
Causal Intervention for Abstractive Related Work Generation
EMNLP 2023
CoVariance-based Causal Debiasing for Entity and Relation Extraction
EMNLP 2023
Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning
EMNLP 2023
Generative Emotion Cause Triplet Extraction in Conversations with Commonsense Knowledge
EMNLP 2023
ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning
EMNLP 2023
<
1
…
57
58
59
…
133
>