causal inference

1619 papers

Explore in graph

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

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation AAAI 2026

Causality-Aligned Semantic Recovery for Incomplete Cross-Modal Retrieval AAAI 2026

Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference EACL 2026

Towards Ultrasound-based Reliable Disease Diagnosis Using Causal Inference AAAI 2026

ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding AAAI 2026

PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation AAAI 2026

CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow WACV 2026

Causal Direct Preference Optimization for Language Model Alignment EACL 2026

Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought EACL 2026

DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT AAAI 2026

Explicit Modeling of Causal Factors and Confounders for Image Classification AAAI 2026

Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification AAAI 2026

Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation AAAI 2026

Uplift Modeling with Delayed Feedback: Identifiability and Algorithms AAAI 2026

Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients WACV 2026

CaRS: A Causal Intervention Segmentation Framework and Benchmark Dataset for Autonomous Driving under Transitional Weather Conditions WACV 2026

Causality-Driven Audits of Model Robustness WACV 2026

Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation EACL 2026

CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models EACL 2026

Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory EACL 2026

What’s Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning EACL 2026

Causal Activation Steering via Sparse Mediation EACL 2026

CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images AAAI 2026

Generating Attribute-Aware Human Motions from Textual Prompt AAAI 2026

Detecting Unobserved Confounders: A Kernelized Regression Approach AAAI 2026