GitHub

Shafiya0101/Convolutional-AutoEncoder-for-Cifar-dataset

This project implements a Convolutional AutoEncoder for image compression using the CIFAR-100 dataset. The autoencoder is designed to compress images into a lower-dimensional latent space and ...
IEEE

Autoencoder and Teaching-learning-based Optimizer for Mobile Edge Computing System Optimization Problems

Abstract: By using an autoencoder as a dimension reduction tool, an Autoencoder-embedded Teaching-Learning Based Optimization (ATLBO) has been proved to be effective in solving high-dimensional ...
GitHub

Alessandrovinci/Autoencoder-Explainability

An autoencoder can be used to detect anomalies through the reconstruction error (anomaly score). The way it works, is that given and initial set of observations, the ...
IEEE

Contrastive Semantic-Aware Masked Autoencoder for Point Cloud Self-Supervised Learning

Abstract: Masked Autoencoder (MAE) has shown remarkable potential in self-supervised representation learning for 3D point clouds. However, these methods primarily rely on point-level or low-level ...