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08/14/2023
Ada-QPacknet – adaptive pruning with bit width reduction as an efficient continual learning method without forgetting
Continual Learning (CL) is a process in which there is still huge gap be...
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05/25/2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection
Anomaly detection tools and methods present a key capability in modern c...
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03/16/2023
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning
Continual learning (CL) is one of the most promising trends in recent ma...
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03/14/2023
Lifelong Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
Anomaly detection is of paramount importance in many real-world domains,...
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01/18/2022
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data
Detecting relevant changes in dynamic time series data in a timely manne...
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07/29/2021
On the combined effect of class imbalance and concept complexity in deep learning
Structural concept complexity, class overlap, and data scarcity are some...
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12/03/2020