Abstract: Class imbalance occurs in many real-world applications, including image classification, where the number of images in each class differs significantly. With imbalanced data, the generative ...

DenoiseNet is a powerful image processing project that utilizes a convolutional autoencoder to effectively remove noise from images, enhancing their quality and visual appeal. This project focuses on ...

Batch normalization and dropout for stability Mixed precision training for efficiency Learning rate scheduling and gradient clipping β-VAE support for disentangled representations ...

A fairly common sub-problem in many machine learning and data science scenarios is the need to compute the similarity (or difference or distance) between two datasets. For example, if you select a ...

Abstract: The use of heart rate monitoring devices has increased significantly, leading to the emergence of a new class of consumer-grade wearable devices designed for continuous heart rate monitoring ...

At first thought, computing the similarity/distance between two datasets sounds easy, but in fact the problem is extremely difficult, explains Dr. James McCaffrey of Microsoft Research. A fairly ...