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Found 2 papers, 2 papers with code
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
Censoring is the central problem in survival analysis where either the time-to-event (for instance, death), or the time-tocensoring (such as loss of follow-up) is observed for each sample.
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Multi-instance learning (MIL) deals with objects represented as bags of instances and can predict instance labels from bag-level supervision.
Multiple Instance Learning
Out-of-Distribution Generalization
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