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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

How to Understand “Support”? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding COLING 2024
Causal Inference for Human-Language Model Collaboration NAACL 2024
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
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph COLING 2024
Take Its Essence, Discard Its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect COLING 2024
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024
CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations IJCAI 2024
Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: A Case Study on Hateful Memes COLING 2024
An engine not a camera: Measuring performative power of online search NIPS 2024
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models COLING 2024
Principles from Clinical Research for NLP Model Generalization NAACL 2024
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models CVPR 2024
Vision-and-Language Navigation via Causal Learning CVPR 2024
Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024
Intervention and Conditioning in Causal Bayesian Networks NIPS 2024
Causally Aware Generative Adversarial Networks for Light Pollution Control AAAI 2024
Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval AAAI 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NIPS 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024
Detecting and Measuring Confounding Using Causal Mechanism Shifts NIPS 2024
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding Statistics WACV 2024
Towards Safe Policy Learning under Partial Identifiability: A Causal Approach AAAI 2024
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024