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Improves model interpretability and robustness by identifying causal relationships.
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 Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences Ruichu Cai Xiaokai Huang Wei Chen Zijian Li Zhifeng Hao | |||
 Generalizing to Unseen Disaster Events: A Causal View Philipp Seeberger Steffen Freisinger Tobias Bocklet Korbinian Riedhammer | |||
 Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport Borna Bateni Yubai Yuan Qi Xu Annie Qu | |||
 Multiple Treatments Causal Effects Estimation with Task Embeddings and Balanced Representation Learning Yuki Murakami Takumi Hattori Kohsuke Kubota | |||
 Probability-Biased Attention over Directed Bipartite Graphs for Long-Tail ICD Coding Tianlei Chen Yuxiao Chen Yang Li Feifei Wang | |||
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 Semi-Supervised Learning under General Causal ModelsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 | |||
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