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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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12/28/2021
Speedup deep learning models on GPU by taking advantage of efficient unstructured pruning and bit-width reduction
This work is focused on the pruning of some convolutional neural network...
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08/08/2021
Ensemble neuroevolution based approach for multivariate time series anomaly detection
Multivariate time series anomaly detection is a very common problem in t...
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07/17/2020
