12 datasets found

Self-training is an important technique for solving semi-supervised learning problems. It leverages unlabeled data by generating pseudo-labels and combining them with a limited...

The shootout dataset is a regression dataset containing information about the reflectance spectra of pharmaceutical tablets.

The dataset is a spam classification dataset containing 4,600 emails labeled as spam or not.

The auto-mpg dataset is a regression dataset containing information about the fuel efficiency of various car models.

Semi-supervised learning (SSL) has been a fundamental challenge in machine learning for decades. The primary family of SSL algorithms, known as pseudo-labeling, involves...

A dataset for semi-supervised learning of echocardiogram views

A dataset for semi-supervised learning of echocardiogram views

A dataset for semi-supervised learning of echocardiogram views

A new semi-supervised learning benchmark for classifying view and diagnosing aortic stenosis from the 6th Ma-

Semi-supervised learning from uncurated unlabelled data

The proposed end-to-end pseudo-label based semi-supervised object detection framework, which simultaneously performs pseudo-labeling for unlabelled images and trains a detector...

Open-Set Semi-Supervised Object Detection aims to leverage the unconstrained unlabeled images to improve an object detector trained with the available labeled data.