sciencex

Researchers leverage new machine learning methods to learn from noisy labels for image classification

The rapid development of deep learning in recent years is largely due to the rapid increase in the scale of data. The availability of large amounts of data is revolutionary for model training by the ...
Engadget

MIT study finds labelling errors in datasets used to test AI

A screenshot of mislabeled images from ImageNet, a dataset used to test machine learning systems. In one instance, it applied a "nipple" label to a photo of a baby. The datasets, which have each been ...
JSTOR Daily

Hybridizing Machine Learning Methods and Finite Mixture Models for Estimating Heterogeneous Treatment Effects in Latent Classes

There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum ...