[38] Andrew Lampinen - A Computational Framework for Learning and Transforming Task Representations
The Thesis Review
00:00
Metamapping and Task Adaptation in Machine Learning
This chapter examines the framework of metamapping, which enhances system adaptability through long-term learning experiences. It highlights the interplay between task representations in meta-learning and human cognitive processes, discussing the implications for zero-shot generalization and memory retention. The speakers also reflect on their experimental challenges and the evolving role of language in task representation within natural language processing.
Play episode from 21:53
Transcript
