Research combines causal inference with machine learning, topic includes CausalML, Causal Representation learning, Causal Reinforcement Learning with its applicaiton in NLP and CV.
Name | Paper | Code |
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Network Deconfounder | Guo, Ruocheng, Jundong Li, and Huan Liu. "Learning Individual Causal Effects from Networked Observational Data." WSDM 2020. | Python |
Causal Inference with Network Embeddings | Veitch, Victor, Yixin Wang, and David M. Blei. "Using embeddings to correct for unobserved confounding." arXiv preprint arXiv:1902.04114 (2019). | Python |
Name | Paper | Code |
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Linked Causal Variational Autoencoder (LCVA) | Rakesh, Vineeth, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, and Huan Liu. "Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects." CIKM 2018. | Python |
GNN-based Causal Effect Estimators | Ma, Yunpu, Yuyi Wang, and Volker Tresp. "Causal Inference under Networked Interference." arXiv preprint arXiv:2002.08506 (2020). | NA |
Name | Paper | Code | J./C. |
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Class-Incremental Learning | Distilling Causal Effect of Data in Class-Incremental Learning | Python | CVPR21 |
Counterfactual VQA | Counterfactual VQA: A Cause-Effect Look at Language Bias | Python | CVPR21 |
Deconfounded Image Captioning | Causal Attention for Vision-Language Tasks | Python | CVPR21 |
Weakly-supervised Temporal Action Localization | The Blessings of Unlabeled Background in Untrimmed Videos | Python | CVPR21 |
Visual Dialog | Two Causal Principles for Improving Visual Dialog | Python | CVPR20 |
Visual Common Sense | Visual Commonsense R-CNN | Python | CVPR20 |
Scene Graph Generation | Unbiased Scene Graph Generation from Biased Training | Python | CVPR21,oral |
Interventional Few-Shot Learning | Interventional Few-Shot Learning | Python | NeurIPS20 |
Name | Paper | Code |
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Toward causal representation learning | NA |
Name | Paper | Code |
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Causal Reinforcement Learning | NA |