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 ...
note

機械学習モデルの実装：AutoEncoder（Pytorch）

本記事ではAutoEncoderをPytorchで実装します。ライブラリ紹介ではなく実装がメインのため学習シリーズに近い内容となります。 AutoEncoderの特徴は下記の通りです。 情報を圧縮することで軽い動作で使用できる。 ー＞本記事では784次元の画像を200次元（潜在 ...
IEEE

ISFL-AE: Insider-Specific Feature Learning Autoencoder for Lightweight Insider Threat Detection

Abstract: Malicious insiders who possess system access and security expertise are notoriously difficult to detect and can inflict severe financial damage. While recent advances in deep learning have ...
GitHub

Autoencoder Reconstruction of Mixed MNIST and CIFAR-10 Images

In this project, we explore the use of autoencoders, a fundamental technique in deep learning, to reconstruct images from two distinct datasets: MNIST and CIFAR-10. The objective is to create an ...
GitHub

MDAutoEncoder: Anomaly Detection AutoEncoder Model for Malware Detection

Anomaly Detection is a critical field in data analysis that aims to identify rare and abnormal points or patterns, known as anomalies or outliers, within normal data. The MDAutoEncoder leverages deep ...