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Causal Inference

3,958 papers

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Papers

Understanding Demonstration-based Learning from a Causal Perspective ACL 2023 Understanding More Knowledge Makes the Transformer Perform Better in Document-level Relation Extraction ACML 2023 Understanding new tasks through the lens of training data via exponential tilting ICLR 2023 Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data AISTATS 2023 Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects CVPR 2023 Unpaired Multi-Domain Causal Representation Learning NeurIPS 2023 Using counterfactual contrast to improve compositional generalization for multi-step quantitative reasoning ACL 2023 Variable importance matching for causal inference UAI 2023 Variational Causal Inference Network for Explanatory Visual Question Answering ICCV 2023 VECHR: A Dataset for Explainable and Robust Classification of Vulnerability Type in the European Court of Human Rights EMNLP 2023 Vector Causal Inference between Two Groups of Variables AAAI 2023 Versatile Energy-Based Probabilistic Models for High Energy Physics NeurIPS 2023 Video-Audio Domain Generalization via Confounder Disentanglement AAAI 2023 ViT-CX: Causal Explanation of Vision Transformers IJCAI 2023 Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training CVPR 2023 Weather2vec: Representation Learning for Causal Inference with Non-local Confounding in Air Pollution and Climate Studies AAAI 2023 When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NeurIPS 2023 Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approaches EMNLP 2023 Which Invariance Should We Transfer? A Causal Minimax Learning Approach ICML 2023 Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise? ICML 2023 Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models NeurIPS 2023 WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations ICLR 2023 X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events ICCV 2023 Zero-shot causal learning NeurIPS 2023 Zero-Shot Linear Combinations of Grounded Social Interactions with Linear Social MDPs AAAI 2023