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Breakthroughs in artificial intelligence are continuously reshaping the way we tackle complex challenges, and a newly ...
Abstract: The goal of few-shot learning is to train a model with good generalization ability when the training data is limited in quantity. Prompt Learning-based methods have become the mainstream ...
This paper proposes a novel surrogate model for genetic programming that estimates the fitness of each individual by using the tree structure similarity. In particular, the fitness of each individual ...