Matthew Ashman

In-Context In-Context Learning with Transformer Neural Processes

2024 · arXiv (Cornell University)

Neural processes (NPs) are a powerful family of meta-learning models that seek to approximate the posterior predictive map of the ground-truth stochastic process from which each dataset in a meta-dataset is sampled. There are many …