1 code implementation • CVPR 2023 • Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
To address this, we present DeepMVC, a unified framework for deep MVC that includes many recent methods as instances.
1 code implementation • CVPR 2023 • Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
Distance-based classification is frequently used in transductive few-shot learning (FSL).
1 code implementation • 19 Dec 2021 • Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
Our approach can also model the uncertainty in its explanations, which is essential to produce trustworthy explanations.
1 code implementation • CVPR 2021 • Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Aligning distributions of view representations is a core component of today's state of the art models for deep multi-view clustering.
2 code implementations • 20 Jan 2020 • Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
In this work we study OFM in deep clustering, and find that the popular autoencoder-based approach to deep clustering can lead to both reduced clustering performance, and a significant amount of OFM between the reconstruction and clustering objectives.
no code implementations • 29 Nov 2018 • Daniel J. Trosten, Andreas S. Strauman, Michael Kampffmeyer, Robert Jenssen
The task of clustering unlabeled time series and sequences entails a particular set of challenges, namely to adequately model temporal relations and variable sequence lengths.