而在1997年,Multi-task Learning[1] 这篇文章指出,这种单任务学习的范式可能存在问题,因为真实世界的数据中信息非常丰富,同一来源的数据可能包含多个任务的信息,任务之间是存在相互关联的。而单任务学习方法忽略了任务之间丰富的关联信息。如果这些任务可以分享它们所学的信息,可能会发现多个任务一起学习比孤立地学习每个...
在PSL的基础上,我们又做了两个延伸工作 Pareto Set Learning for Expensive Multi-Objective Optimization, Pareto Set Learning for Neural Multi-objective Combinatorial Optimization 更早期的工作是将MTL和Preference偏好结合到一起的两个工作:1)Pareto Multi-task Learning,2)Multi-Task Learning with User Preferences...
[1] Lin X., Zhen H., Li Z., Zhang Q. and Kwong S. Pareto multi-task learning. In Advances in Neural Information Processing Systems (NIPS), 2019. [2] F
In this paper, we generalize this idea and propose a novel Pareto multi-task learning algorithm (Pareto MTL) to find a set of well-distributed Pareto solutions which can represent different trade-offs among different tasks. The proposed algorithm first formulates a multi-task learning problem as...
Tasks in multi-task learning often correlate, conflict, or even compete with each other. As a result, a single solution that is optimal for all tasks rarely exists. Recent papers introduced the concept of Pareto optimality to this field and directly cast multi-task learning as multi-objective ...
Pareto Multi-Task Learning Code for Neural Information Processing Systems (NeurIPS) 2019 paperPareto Multi-Task Learning. Citation If you find our work is helpful for your research, please cite the following paper: @inproceedings{lin2019pareto, title={Pareto Multi-Task Learning}, author={Lin, Xi...
deep-neural-networksmulti-objective-optimizationmulti-task-learningpareto-optimal-solutions UpdatedJun 22, 2022 Python EmilioSchi/Niched-Pareto-Genetic-Algorithm-NPGA Star29 Genetic Algorithm (GA) for a Multi-objective Optimization Problem (MOP)
J. et al. Accelerated chemical reaction optimization using multi-task learning. ACS Cent. Sci. 9, 957–968 (2023). CAS PubMed PubMed Central Google Scholar Shields, B. J. et al. Bayesian reaction optimization as a tool for chemical synthesis. Nature 590, 89–96 (2021). ADS CAS Pub...
Pareto Multi-Task Learning. arXiv 2019, arXiv:1912.12854. [Google Scholar] Momma, M.; Dong, C.; Liu, J. A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity. In Proceedings of the 39th International Conference on Machine Learning (PMLR), Baltimore, MD, USA, 17...
Learning the Pareto Front with Hypernetworks. In Proceedings of the International Conference on Learning Representations, Addis Ababa, Ethiopia, 36–30 April 2020. [Google Scholar] Lin, X.; Yang, Z.; Zhang, Q.; Kwong, S. Controllable pareto multi-task learning. arXiv 2020, arXiv:2010.06313...