Daniel J. Trosten | DeepAI

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∙ 03/17/2023

On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering

Self-supervised learning is a central component in recent approaches to ...

0 Daniel J. Trosten, et al. ∙

∙ 03/16/2023

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings

Distance-based classification is frequently used in transductive few-sho...

0 Daniel J. Trosten, et al. ∙

∙ 12/19/2021

RELAX: Representation Learning Explainability

Despite the significant improvements that representation learning via se...

0 Kristoffer K. Wickstrøm, et al. ∙

∙ 03/13/2021

Reconsidering Representation Alignment for Multi-view Clustering

Aligning distributions of view representations is a core component of to...

0 Daniel J. Trosten, et al. ∙

∙ 01/20/2020

Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives

In this paper we develop a new model for deep image clustering, using co...

11 Daniel J. Trosten, et al. ∙

∙ 11/29/2018

Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series

The task of clustering unlabeled time series and sequences entails a par...

0 Daniel J. Trosten, et al. ∙

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