Jul 3, 2019 · In this paper, we propose a new experimental protocol and use it to benchmark the data efficiency --- performance as a function of training set size --- of two ...

In this work we consider a method to measure data efficiency, the performance of an algorithm as a function of the number of data points avail- able during ...

Main Idea. How would you measure the data efficiency — performance as a function of training set size — of a learning algorithm? It seems natural to:.

Jul 3, 2019 · In this paper, we propose a new experimental protocol and use it to benchmark the data efficiency --- performance as a function of training ...

Invent more benchmarks for sample or data efficiency. · Compare a wider variety of methods on increasingly heterogeneous data. · Instead of comparisons: Define ...

Mar 4, 2019 · In this paper, we propose a new experimental protocol and use it to benchmark the data efficiency-performance as a function of training set ...

1 INTRODUCTION. In recent years, we have seen convolutional neural networks (CNN) dominate benchmark after benchmark for computer vision since the 2012 ImageNet ...

Dec 15, 2022 · Here we study the relation between accuracy and data efficiency in an atlas of machine learning models trained on datasets of varied size and sequence ...

Nov 23, 2022 · In this blog, you will go through the several methods for evaluating the effectiveness of our deep learning or machine learning model as well as the benefits ...

Missing: Deep Learning Methods.