backdoor adjustment

Compositional Probabilistic and Causal Inference using Tractable Circuit Models AISTATS 2023 Context De-Confounded Emotion Recognition CVPR 2023 Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment NeurIPS 2023 Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective AAAI 2023 Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images CVPR 2023 Interventional Rationalization EMNLP 2023 Video-Audio Domain Generalization via Confounder Disentanglement AAAI 2023 De-Bias for Generative Extraction in Unified NER Task ACL 2022 Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning AAAI 2022 Interventional Contrastive Learning with Meta Semantic Regularizer ICML 2022 OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks CVPR 2022 Robust Hate Speech Detection via Mitigating Spurious Correlations AACL 2022 Show, Deconfound and Tell: Image Captioning With Causal Inference CVPR 2022 Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment NeurIPS 2022 Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention EMNLP 2021 Interventional Video Grounding With Dual Contrastive Learning CVPR 2021 A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model MLHC 2020 Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects UAI 2020 Differentiable Causal Backdoor Discovery AISTATS 2020 Interventional Few-Shot Learning NeurIPS 2020