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causal inference

1619 papers

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Also known as

ITE IDA SCM CI CATE

Co-occurring keywords

causal discovery (459) structural causal model (182) treatment effect (134) graphical model (863) counterfactual reasoning (224) representation learning (6174) observational datum (109) domain generalization (1517) causal effect (107) causal graph (137)

Papers

Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis COLING 2024
Prototype-based Prompt-Instance Interaction with Causal Intervention for Few-shot Event Detection COLING 2024
Testing Semantic Importance via Betting NIPS 2024
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024
Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-Centric Learning WACV 2024
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models COLING 2024
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics WACV 2024
Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation NIPS 2024
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: A Case Study on Hateful Memes COLING 2024
On the Actionability of Outcome Prediction AAAI 2024
Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables NIPS 2024
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NIPS 2024
Covariate Shift Corrected Conditional Randomization Test NIPS 2024
Higher-Order Causal Message Passing for Experimentation with Complex Interference NIPS 2024
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders AAAI 2024
Marginal Causal Flows for Validation and Inference NIPS 2024
MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction COLING 2024
Explaining Language Model Predictions with High-Impact Concepts EACL 2024
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges IJCAI 2024
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach AAAI 2024
CausalCite: A Causal Formulation of Paper Citations ACL 2024
Do large language models and humans have similar behaviours in causal inference with script knowledge? NAACL 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models NAACL 2024