Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
Visual Intelligence publications are financially supported by the Research Council of Norway, through its Centre for Research-based Innovation funding scheme (grant no. 309439), and Consortium Partners. For the purpose of open access, the author has applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
At Visual Intelligence we work across our innovation areas to extract knowledge from large volumes of visual data more efficiently through automatic and intelligent data analysis. The work to address the core research challenges in deep learning: working with limited training data, utilizing context and dependencies, providing explainability, confidence and uncertainty, are important in all the innovation areas.
By authors:
Xie, Wanyun; Pethick, Thomas; Ramezani-Kebrya, Ali; Cevher, Volkan
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Transactions on Machine Learning Research (02/2024)
on
February 4, 2024
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International Conference on Learning Representations 2024
on
January 16, 2024
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Proceedings of Machine Learning Research (PMLR) ISSN 2640-3498. 233, p. 97–103
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Journal of Machine Learning Research 25 (2024) 1-56
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Neural Networks, Volume 169, 2024, Pages 417-430
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Østmo, Eirik Agnalt; Wickstrøm, Kristoffer; Radiya, Keyur; Kampffmeyer, Michael; Jenssen, Robert.
Published in:
2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), Rome, Italy, 2023, pp. 1-6
on
October 23, 2023
By authors:
Chlaily, Saloua; Ratha, Debanshu; Lozou, Pigi; Marinoni, Andrea
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IEEE Transactions on Signal Processing 2023 ;Volum 71. s.3710-3725
on
October 12, 2023
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Bruno Souza; Marius Aasan; Helio Pedrini; Adıń Ramıŕez Rivera
Published in:
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Paris, France, 2023, pp. 4642-4647
on
October 2, 2023
By authors:
C¸ agkan Yapar, Fabian Jaensch, Ron Levie, Gitta Kutynio, Giuseppe Caire
Published in:
2023 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, SEPT. 17–20, 2023, ROME, ITALY
on
September 1, 2023