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20202023
most citedAutomated Deep Learning: Neural Architecture Search Is Not the End

15 citations · 41 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.LG2022★ 2 cited

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry

Alexander Scriven, David Jacob Kedziora, Katarzyna Musial +1

With most technical fields, there exists a delay between fundamental academic research and practical industrial uptake. Whilst some sciences have robust and well-established proces…

cs.LG2022

On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning

David Jacob Kedziora, Tien-Dung Nguyen, Katarzyna Musial +1

The automated machine learning (AutoML) process can require searching through complex configuration spaces of not only machine learning (ML) components and their hyperparameters bu…

cs.LG2022★ 11 cited

The Roles and Modes of Human Interactions with Automated Machine Learning Systems

Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys

As automated machine learning (AutoML) systems continue to progress in both sophistication and performance, it becomes important to understand the `how' and `why' of human-computer…

cs.LG2021★ 15 cited

Automated Deep Learning: Neural Architecture Search Is Not the End

Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial +1

Deep learning (DL) has proven to be a highly effective approach for developing models in diverse contexts, including visual perception, speech recognition, and machine translation.…

cs.LG2021

Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning

Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial +1

Machine learning (ML) pipeline composition and optimisation have been studied to seek multi-stage ML models, i.e. preprocessor-inclusive, that are both valid and well-performing. T…

cs.LG2020★ 11 cited

AutonoML: Towards an Integrated Framework for Autonomous Machine Learning

David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys

Over the last decade, the long-running endeavour to automate high-level processes in machine learning (ML) has risen to mainstream prominence, stimulated by advances in optimisatio…