2 papers
cs.CL2022
Assessing Resource-Performance Trade-off of Natural Language Models using Data Envelopment Analysis
Zachary Zhou, Alisha Zachariah, Devin Conathan +1
Natural language models are often summarized through a high-dimensional set of descriptive metrics including training corpus size, training time, the number of trainable parameters…
cs.LG2021
Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection
Eric Bunch, Jeffery Kline, Daniel Dickinson +2
Metric space magnitude, an active field of research in algebraic topology, is a scalar quantity that summarizes the effective number of distinct points that live in a general metri…