BriefGPT.xyz
May, 2023
模型无关的泛化困难度度量
Model-agnostic Measure of Generalization Difficulty
HTML
PDF
Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh...
TL;DR
该研究提出了第一个与模型无关的任务内在泛化难度度量,称为归纳偏差复杂度度量,该度量可以应用于计算和比较监督学习、增强学习和元学习的泛化难度。
Abstract
The measure of a
machine learning
algorithm is the difficulty of the tasks it can perform, and sufficiently difficult tasks are critical drivers of strong
machine learning
models. However, quantifying the
→