Abstract: The computational and memory demands of Deep Learning (DL) models, from convolutional neural networks to Large Language Models (LLMs), are experiencing a notable surge. The sparsification (e ...
Abstract: In this paper we discuss some of the central challenges to rigorously studying blocks-based programming. We categorize these challenges into four groups: design, context, evaluation, and ...
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