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conftrace_

structural causal model

231 papers

SCMS SCM

Papers

Reasoning about Causality in Games (Abstract Reprint) AAAI 2024 Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective AAAI 2024 Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes EMNLP 2024 Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models ICLR 2024 Towards Learning and Explaining Indirect Causal Effects in Neural Networks AAAI 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024 Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness NeurIPS 2024 When is Transfer Learning Possible? ICML 2024 Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction EMNLP 2023 An Algorithm and Complexity Results for Causal Unit Selection CLeaR 2023 A New Causal Decomposition Paradigm towards Health Equity AISTATS 2023 Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders NeurIPS 2023 A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models JMLR 2023 Backtracking Counterfactuals CLeaR 2023 Causal Abstraction with Soft Interventions CLeaR 2023 Causal Discovery in Semi-Stationary Time Series NeurIPS 2023 Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism AAAI 2023 Causal Intervention for Mitigating Name Bias in Machine Reading Comprehension ACL 2023 Causality-aware Concept Extraction based on Knowledge-guided Prompting ACL 2023 Causal Models with Constraints CLeaR 2023 CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation ACL 2023 CMVAE: Causal Meta VAE for Unsupervised Meta-Learning AAAI 2023 Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions NeurIPS 2023 Counterfactual Dynamics Forecasting – a New Setting of Quantitative Reasoning AAAI 2023 Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective AAAI 2023