Канал: UiT Machine Learning Group

A Functional Operator for Uncertainty Quantification in the Reproducing Kernel Hilbert Space (RKHS)

A Functional Operator for Uncertainty Quantification in the Reproducing Kernel Hilbert Space (RKHS)

Lifelong Generative Modelling Using Dynamic Expansion Mechnism: Fei Ye (University of York, UK)

Lifelong Generative Modelling Using Dynamic Expansion Mechnism: Fei Ye (University of York, UK)

Graph Signal Processing and Graph Machine Learning: Benjamin Ricaud (UiT)

Graph Signal Processing and Graph Machine Learning: Benjamin Ricaud (UiT)

Midnattssolkonferansen Dag 2 (14:30-16:00)

Midnattssolkonferansen Dag 2 (14:30-16:00)

Midnattssolkonferansen Dag 2 (12:45-14:10)

Midnattssolkonferansen Dag 2 (12:45-14:10)

Midnattssolkonferansen Dag 2 (10:25-11:45)

Midnattssolkonferansen Dag 2 (10:25-11:45)

Midnattssolkonferansen Dag 2 (09:00-10:00)

Midnattssolkonferansen Dag 2 (09:00-10:00)

Midnattssolkonferansen Dag 1 (15:15 - 16:10)

Midnattssolkonferansen Dag 1 (15:15 - 16:10)

Midnattssolkonferansen Dag 1 (14:30-14:55)

Midnattssolkonferansen Dag 1 (14:30-14:55)

Midnattssolkonferansen Dag 1 (13:10-14:30)

Midnattssolkonferansen Dag 1 (13:10-14:30)

Midnattssolkonferansen Dag 1 (10:45-12:10)

Midnattssolkonferansen Dag 1 (10:45-12:10)

Midnattssolkonferansen Dag 1 (09:10-10:20)

Midnattssolkonferansen Dag 1 (09:10-10:20)

Midnattssolkonferansen - Ira Haraldsen interview

Midnattssolkonferansen - Ira Haraldsen interview

Midnattssolkonferansen - Karl Øyvind Mikalsen intervju

Midnattssolkonferansen - Karl Øyvind Mikalsen intervju

Åpning av Senter for pasientnær kunstig intelligens - Medisinskfaglig leder Rolv-Ole Lindsetmo

Åpning av Senter for pasientnær kunstig intelligens - Medisinskfaglig leder Rolv-Ole Lindsetmo

Midnattssolkonferansen - Solveig Hofvind intervju

Midnattssolkonferansen - Solveig Hofvind intervju

Midnattssolkonferansen - Stein Olav Skrøvseth intervju

Midnattssolkonferansen - Stein Olav Skrøvseth intervju

Midnattssolkonferansen - Tor Ingebrigtsen intervju

Midnattssolkonferansen - Tor Ingebrigtsen intervju

Midnattssolkonferansen dag 2 (15:35-15:50)

Midnattssolkonferansen dag 2 (15:35-15:50)

Reconsidering Representation Alignment for Multi-view Clustering:Daniel J. Trosten (UiT, CVPR 2021)

Reconsidering Representation Alignment for Multi-view Clustering:Daniel J. Trosten (UiT, CVPR 2021)

Extract. Horn Theories with Queries and Counterexamples (Lisa Johanna Jøsang & Cosimo Persia, UiB)

Extract. Horn Theories with Queries and Counterexamples (Lisa Johanna Jøsang & Cosimo Persia, UiB)

Extract. PDFA from RNN on traffic-data (Halvor Helland Barndon & Hans Martin Theigler Johansen, UiB)

Extract. PDFA from RNN on traffic-data (Halvor Helland Barndon & Hans Martin Theigler Johansen, UiB)

SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation (Qinghui Liu, NR, UiT)

SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation (Qinghui Liu, NR, UiT)

Code-Aligned AEs for Unsupervised Change Detection in Remote Sensing data (Luigi Luppino, UiT)

Code-Aligned AEs for Unsupervised Change Detection in Remote Sensing data (Luigi Luppino, UiT)

Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data (Changkyu Choi, UiT)

Semi-supervised Semantic Segmentation in Multi-frequency Echosounder Data (Changkyu Choi, UiT)

Reducing Objective Function Mismatch in Deep Clustering w/ Companion Objective (Daniel Trosten, UiT)

Reducing Objective Function Mismatch in Deep Clustering w/ Companion Objective (Daniel Trosten, UiT)

Deep Domain Adaptation Applied to Automatic Fish Age Prediction (Alba Ordonez, NR)

Deep Domain Adaptation Applied to Automatic Fish Age Prediction (Alba Ordonez, NR)

Consistent Estimation of Stellar Params from HARPS-N Spectroscopy using DL (Frederik B. Hüttel, DTU)

Consistent Estimation of Stellar Params from HARPS-N Spectroscopy using DL (Frederik B. Hüttel, DTU)

Tomographic Reconstruction using Coordinate-based NN with Spatial Regularization (Jakeoung Koo, DTU)

Tomographic Reconstruction using Coordinate-based NN with Spatial Regularization (Jakeoung Koo, DTU)

Seafloor Pipeline Detection With Deep Learning (Vemund S. Schøyen and Narada Dilp Warakagoda, UiO)

Seafloor Pipeline Detection With Deep Learning (Vemund S. Schøyen and Narada Dilp Warakagoda, UiO)

Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction (Kristoffer Wickstrøm, UiT)

Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction (Kristoffer Wickstrøm, UiT)

Robust Deep Interpretable Features for Binary Image Classification (Robert Hu, University of Oxford)

Robust Deep Interpretable Features for Binary Image Classification (Robert Hu, University of Oxford)

An Empirical Study on the Robustness of Layerwise Relevance Propagation (Kristine Hein, UiO)

An Empirical Study on the Robustness of Layerwise Relevance Propagation (Kristine Hein, UiO)

Deep Learning in NLP (Lilja Øvrelid and Jeremy Barnes, University of Oslo) from the NLDL 2021.

Deep Learning in NLP (Lilja Øvrelid and Jeremy Barnes, University of Oslo) from the NLDL 2021.

Uncertainty Quantification in DNNs (Fabian Brickwedde, Goethe Univ. Frankfurt) from the NLDL 2021.

Uncertainty Quantification in DNNs (Fabian Brickwedde, Goethe Univ. Frankfurt) from the NLDL 2021.

Introduction to GANs (Håkon Hukkelås, NTNU) from the NLDL 2021.

Introduction to GANs (Håkon Hukkelås, NTNU) from the NLDL 2021.

Roland Vollgraf's Keynote from the Northern Lights Deep Learning Workshop 2021.

Roland Vollgraf's Keynote from the Northern Lights Deep Learning Workshop 2021.

Lars Kai Hansen's Keynote from the Northern Lights Deep Learning Workshop 2021.

Lars Kai Hansen's Keynote from the Northern Lights Deep Learning Workshop 2021.

Laura Leal-Taixé's Keynote from the Northern Lights Deep Learning Workshop 2021.

Laura Leal-Taixé's Keynote from the Northern Lights Deep Learning Workshop 2021.

Arthur Gretton's Keynote from the Northern Lights Deep Learning Workshop 2021.

Arthur Gretton's Keynote from the Northern Lights Deep Learning Workshop 2021.

Gitta Kutyniok provides the Lunch Talk to UiT Machine Learning Group

Gitta Kutyniok provides the Lunch Talk to UiT Machine Learning Group

Midnattssolkonferansen

Midnattssolkonferansen

Uncertainty and interpretability in deep learning-based support systems for medical data

Uncertainty and interpretability in deep learning-based support systems for medical data

SEN: A Novel Dissimilarity Measure for Prototypical Few Shot Learning Networks

SEN: A Novel Dissimilarity Measure for Prototypical Few Shot Learning Networks

A generic unfolding algorithm for manifold estimated by local linear approximation

A generic unfolding algorithm for manifold estimated by local linear approximation

SEN: A Novel Dissimilarity Measure for Prototypical Few Shot Learning Networks

SEN: A Novel Dissimilarity Measure for Prototypical Few Shot Learning Networks