Reconsidering representation alignment for multi-view clustering DJ Trosten, S Lokse, R Jenssen, M Kampffmeyer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 195 | 2021 |
On the effects of self-supervision and contrastive alignment in deep multi-view clustering DJ Trosten, S Løkse, R Jenssen, MC Kampffmeyer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 41 | 2023 |
Recurrent deep divergence-based clustering for simultaneous feature learning and clustering of variable length time series DJ Trosten, AS Strauman, M Kampffmeyer, R Jenssen ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 26 | 2019 |
RELAX: Representation learning explainability KK Wickstrøm, DJ Trosten, S Løkse, A Boubekki, KØ Mikalsen, ... International Journal of Computer Vision 131 (6), 1584-1610, 2023 | 25 | 2023 |
Hubs and hyperspheres: Reducing hubness and improving transductive few-shot learning with hyperspherical embeddings DJ Trosten, R Chakraborty, S Løkse, KK Wickstrøm, R Jenssen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
Unsupervised feature extraction–a cnn-based approach DJ Trosten, P Sharma Image Analysis: 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden …, 2019 | 13 | 2019 |
Questionable practices in methodological deep learning research DJ Trosten Proceedings of the Northern Lights Deep Learning Workshop 4, 2023 | 5 | 2023 |
Deep image clustering with tensor kernels and unsupervised companion objectives DJ Trosten, MC Kampffmeyer, R Jenssen arXiv preprint arXiv:2001.07026, 2020 | 4 | 2020 |
Leveraging tensor kernels to reduce objective function mismatch in deep clustering DJ Trosten, S Løkse, R Jenssen, M Kampffmeyer Pattern Recognition 149, 110229, 2024 | 2 | 2024 |
On the Role of Self-supervision in Deep Multi-view Clustering DJ Trosten, S Løkse, R Jenssen, M Kampffmeyer | 2 | 2022 |
Reducing objective function mismatch in deep clustering with the unsupervised companion objective DJ Trosten, R Jenssen, M Kampffmeyer Septentrio Academic Publishing, 2021 | 2 | 2021 |
Improving Representation Learning for Deep Clustering and Few-shot Learning DJ Trosten UiT Norges arktiske universitet, 2023 | | 2023 |
Kartlegging og overvåking av reinbeiter SR Karlsen, DJ Trosten, B Johansen NORCE Norwegian Research Centre, 2023 | | 2023 |
Supplementary Material–On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering DJ Trosten, S Løkse, R Jenssen, MC Kampffmeyer | | |
Supplementary material–Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings DJ Trosten, R Chakraborty, S Løkse, KK Wickstrøm, R Jenssen, ... | | |
Supplementary material: Reconsidering Representation Alignment for Multi-view Clustering DJ Trosten, S Løkse, R Jenssen, M Kampffmeyer | | |