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

An Efficient Dialogue Policy Agent with Model-Based Causal Reinforcement Learning COLING 2025

Learn from Failure: Causality-guided Contrastive Learning for Generalizable Implicit Hate Speech Detection COLING 2025

The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units NAACL 2025

CausalEval: Towards Better Causal Reasoning in Language Models NAACL 2025

Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism IJCAI 2025

Analyzing (In)Abilities of SAEs via Formal Languages NAACL 2025

Debiased Multimodal Understanding for Human Language Sequences AAAI 2025

Optimal Policy Adaptation Under Covariate Shift IJCAI 2025

A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography AAAI 2025

Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization IJCAI 2025

C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis ICCV 2025

Flow-based Time-aware Causal Structure Learning for Sequential Recommendation IJCAI 2025

Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias NAACL 2025

CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments IJCAI 2025

Enhancing the Logical Reasoning Abilities of Large Language Models IJCAI 2025

A Practical Method for Generating String Counterfactuals NAACL 2025

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning COLING 2025

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction IJCAI 2025

Causal Inference with Large Language Model: A Survey NAACL 2025

CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025

Out-of-Distribution Generalization on Graphs via Progressive Inference AAAI 2025

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey NAACL 2025

Confounding-Robust Deferral Policy Learning AAAI 2025

Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors ICCV 2025

TEF: Causality-Aware Taxonomy Expansion via Front-Door Criterion COLING 2025