Multitask Learning in Science

Preface.- Notation.- 1. Multi-Task Deep Learning.- 2. Multi-Task Learning and Multi-Objective Optimization3. Supervised Multi-Task Learning4. Unsupervised Multi-Task Learning5. Semi-supervised Multi-Task Learning6. Reinforcement Learning and Multi-Task Learning7. Meta-Learning 8. Black-Box Meta-Learning 9. Optimization-based Meta-Learning 10. Bayesian Meta-Learning11. Transfer Learning12. Few-Shot Learning13. Online Multi-Task Learning14. Generative Adversarial Networks and Multi-Task Learning15. Lifelong Learning / Continual Learning16. Domain adaptation and Out-of-distribution generalization17. Applications in Science18. Applications in Engineering19. Multi-Task Learning in Large Language Models20. Multi-Task Learning in Multimodal Foundation Models 21. Mathematics for Multi-task Deep Learning 22. Tools for Multi-Task Deep Learning 23. Future Directions Bibliography.- Index.