This paper explores advanced ML methods -deep metalearning and multi-task learning - as potential solutions to these complexities. Through a thorough analysis of regression and classification models ...

Adaptive Mechanism Design: A Metalearning Approach. David Pardoe, Peter Stone, Maytal Saar-Tsechansky, and Kerem Tomak. In The Eighth International Conference on Electronic Commerce, pp. 92–102, ...

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习 ...

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习 ...