Maciej Żelaszczyk

Interpretable Multi-task Learning with Shared Variable Embeddings

2024 · arXiv (Cornell University)

This paper proposes a general interpretable predictive system with shared information. The system is able to perform predictions in a multi-task setting where distinct tasks are not bound to have the same input/output structure. Embeddings …