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The Illustrated FixMatch for Semi-Supervised Learning
Learn how to leverage unlabeled data using FixMatch for semi-supervised learning
semi-supervised-learning computer-vision pytorch illustrated
Similarity Search for Efficient Active Learning
We exploit this skew in large training datasets to reduce the number of unlabeled examples considered in each selection round with nearest nearest ...
similarity-search active-learning search semi-supervised-learning
Prototypical Contrastive Learning (PCL) for Unsupervised Learning
Prototypical Contrastive Learning (PCL), an unsupervised representation learning method that addresses the fundamental limitations of the popular ...
contrastive-learning unsupervised-learning self-supervised-learning semi-supervised-learning
Meta Pseudo Labels
We all know about meta-learning and pseudo labeling but what if we combine the two techniques for semi-supervised learning? Can it be any beneficial?
semi-supervised-learning meta-learning machine-learning deep-learning
Positive and Unlabeled Materials Machine Learning
PUMML is a code that uses semi-supervised machine learning to classify materials from only positive and unlabeled examples.
machine-learning semi-supervised-learning materials informatics
Motion2Vec
Semi-Supervised Representation Learning from Surgical Videos
motion-estimation semi-supervised-learning representation-learning surgery
Bayesian Active Learning (BaaL)
BaaL is an active learning library by ElementAI. This repository contains techniques and reusable components to make active learning accessible for all.
active-learning bayesian-deep-learning baal elementai
Semi-supervised image classification with GANs
Shows how to perform semi-supervised image classification with GANs. The cover image is from Chapter 7, GANs in Action.
generative-adversarial-networks semi-supervised-learning tensorflow keras
How to Know When Machine Learning Does Not Now
It is becoming increasingly important to understand how a prediction made by a Machine Learning model is informed by its training data.
adversarial-learning interpretability uncertainty adversarial-examples
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