Vadym Gryshchuk

Vadym Gryshchuk
University of Copenhagen · Department of Computer Science

Master of Science
https://bit.ly/3rKJt5G

About

4
Publications
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Citations
Introduction
My research of interest lies in Lifelong Machine Learning, and application of DL and XAI methods to the identification of Alzheimer's Disease

Publications

Publications (4)
Article
Full-text available
Lifelong learning is a long-standing aim for artificial agents that act in dynamic environments in which an agent needs to accumulate knowledge incrementally without forgetting previously learned representations. Contemporary methods for incremental learning from images are predominantly based on frame-based data recorded by conventional shutter ca...
Preprint
Lifelong learning is a long-standing aim for artificial agents that act in dynamic environments, in which an agent needs to accumulate knowledge incrementally without forgetting previously learned representations. We investigate methods for learning from data produced by event cameras and compare techniques to mitigate forgetting while learning inc...
Conference Paper
Full-text available
Abstract—Grow-when-required networks such as the Growing Dual-Memory (GDM) networks possess a dynamic network structure, expanding to accommodate new neurons in response to learning novel concepts. Over time, it may be necessary to prune obsolete neurons and/or neural connections to meet performance or resource limitations. GDM networks utilize an...

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Projects

Projects (2)
Project
We are working on a deep learning system architecture that can extract relevant information from neuroimaging data and dynamically generate visual and descriptive explanations of varying granularity on demand. Checkout https://explaination.net for more details.
Project
The goal is to devise new methods for the agents that operate in changing environments and learn incrementally without catastrophic forgetting.