Evolving Landscapes
Joel discusses his changing intuitions about the structure of optimization landscapes and the differences in exploration methods used in deep learning. He also explores the idea of population-based training and the success of large neural networks in supervised and unsupervised learning.In this clip
From this podcast
The Gradient
Joel Lehman: Open-Endedness and Evolution through Large Models
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