@lifelonglab

IJCNN 2025 Tutorial

ICDM 2025 Workshop

Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights

PyCLAD Library Github

PyCLAD Continual Anomaly Detection Datasets

VLAD: Task-agnostic VAE-based lifelong anomaly detection

CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection

TinySubNets: An Efficient and Low Capacity Continual Learning Strategy

WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data

LIFEWATCH: Lifelong Wasserstein Change Point Detection

Active Lifelong Anomaly Detection with Experience Replay

Distributed Continual Intrusion Detection: A Collaborative Replay Framework

From MNIST to ImageNet and back: benchmarking continual curriculum learning - Machine Learning