Daniel J. Trosten

15 papers A* 3Misc 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Leveraging tensor kernels to reduce objective function mismatch in deep clustering. Pattern Recognit. Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2023	A*	`conf`	Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings. CVPR Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
2023	J	`jnl`	Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings. CoRR Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
2023	A*	`conf`	On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CVPR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
2023	J	`jnl`	On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CoRR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
2023	—	`conf`	Questionable Practices in Methodological Deep Learning Research. NLDL Daniel J. Trosten
2023	J	`jnl`	RELAX: Representation Learning Explainability. Int. J. Comput. Vis. Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2021	J	`jnl`	RELAX: Representation Learning Explainability. CoRR Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2021	A*	`conf`	Reconsidering Representation Alignment for Multi-View Clustering. CVPR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2021	J	`jnl`	Reconsidering Representation Alignment for Multi-view Clustering. CoRR Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2021	—	`conf`	Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. NLDL Daniel J. Trosten, Robert Jenssen, Michael C. Kampffmeyer
2020	J	`jnl`	Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives. CoRR Daniel J. Trosten, Michael C. Kampffmeyer, Robert Jenssen
2019	Misc	`conf`	Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series. ICASSP Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen
2019	—	`conf`	Unsupervised Feature Extraction - A CNN-Based Approach. SCIA Daniel J. Trosten, Puneet Sharma
2018	J	`jnl`	Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series. CoRR Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen