Vol. 3 (2022): Proceedings of the Northern Lights Deep Learning Workshop 2022

Published: 2022-03-28

Articles

Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages

Sneha Das, Nicklas Leander Lund, Nicole Nadine Lønfeldt, Anne Katrine Pagsberg, Line H. Clemmensen
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Re-Identification of Giant Sunfish using Keypoint Matching

Malte Pedersen, Joakim Bruslund Haurum, Thomas B. Moeslund, Marianne Nyegaard
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Detection of forest roads in Sentinel-2 images using U-Net

Øivind Trier, Arnt-Børre Salberg, Ragnvald Larsen, Ole Torbjørn Nyvoll
- PDF
An analysis of over-sampling labeled data in semi-supervised learning with FixMatch

Miquel Marti, Sebastian Bujwid, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki
- PDF
CryoSat-2 waveform classification for melt event monitoring

Martijn Vermeer, David Völgyes, Malcolm McMillan, Daniele Fantin
- PDF
Towards Understanding of User Perceptions for Smart Border Control Technologies using a Fine-Tuned Transformer Approach

Sarang Shaikh, Sule Yildirim Yayilgan, Erjon Zoto, Mohamed Abomhara
- PDF
Modelling Phytoplankton Behaviour in the North and Irish Sea with Transformer Networks

Onatkut Dagtekin, Nina Dethlefs
- PDF
Fast accuracy estimation of deep learning based multi-class musical source separation

Alexandru Mocanu, Benjamin Ricaud, Milos Cernak
- PDF
Mutual information estimation for graph convolutional neural networks

Marius Cervera Landsverk, Signe Riemer-Sørensen
- PDF
SparseMeshCNN with Self-Attention for Segmentation of Large Meshes

Bjørn Hansen, Mathias Lowes, Thomas Ørkild, Anders Dahl, Vedrana Dahl, Ole de Backer, Oscar Camara, Rasmus Paulsen, Christian Ingwersen, Kristine Sørensen
- PDF
Optimizing Slimmable Networks for Multiple Target Platforms

Zifu Wang, Matthew B. Blaschko
- PDF
Extracting Rules from Neural Networks with Partial Interpretations

Cosimo Persia, Ana Ozaki
- PDF
Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models

Juan Cardenas-Cartagena, Mohamed Elnourani, Baltasar Beferull-Lozano
- PDF
Unsupervised Time Series Classification for Climate Data

Alex Romanova
- PDF
Learnable filter-banks for CNN-based audio applications

Helena Peic Tukuljac, Benjamin Ricaud, Nicolas Aspert, Laurent Colbois
- PDF
Photo-Realistic Continuous Image Super-Resolution with Implicit Neural Networks and Generative Adversarial Networks

Muhammad Sarmad, Leonardo Ruspini, Frank Lindseth
- PDF
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach

Jonas Schulz, Raul Santos-Rodriguez, Rafael Poyiadzi
- PDF
Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning

Tosin Adewumi, Rickard Brännvall, Nosheen Abid, Maryam Pahlavan, Sana Sabah, Foteini Liwicki, Marcus Liwicki
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A mammography classification model trained from image labels only

Fredrik Dahl, Marit Holden, Olav Brautaset, Line Eikvil
- PDF
Surrogate-data-enriched Physics-Aware Neural Networks

Raphael Leiteritz, Patrick Buchfink, Bernard Haasdonk, Dirk Pflüger
- PDF
Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications

Tobias Engelhardt Rasmussen, Line KH Clemmensen, Andreas Baum
- PDF
Self-Communicating Deep Reinforcement Learning Agents Develop External Number Representations

Silvester Sabathiel, Trygve Solstad, Alberto Testolin, Flavio Petruzzellis
- PDF
The effect of dataset confounding on predictions of deep neural networks for medical imaging

Beatriz Garcia Santa Cruz, Andreas Husch, Frank Hertel
- PDF
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection

Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz
- PDF
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples

Li Meng, Anis Yazidi, Morten Goodwin, Paal Engelstad
- PDF
LayeredCNN: Segmenting Layers with Autoregressive Models

Jakob L. Christensen, Patrick Møller Jensen, Morten Rieger Hannemose, Anders Bjorholm Dahl, Vedrana Andersen Dahl
- PDF
Deep Reinforcement Learning for Detection of Abnormal Anatomies

Paula López Diez, Kristine Aavild Juhl, Josefine Vilsbøll Sundgaard, Hassan Diab, Jan Margeta, François Patou, Rasmus R. Paulsen
- PDF
Add a SideNet to your MainNet

Adrien Morisot
- PDF

Vol. 3 (2022): Proceedings of the Northern Lights Deep Learning Workshop 2022

Articles

Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages

Re-Identification of Giant Sunfish using Keypoint Matching

Detection of forest roads in Sentinel-2 images using U-Net

An analysis of over-sampling labeled data in semi-supervised learning with FixMatch

CryoSat-2 waveform classification for melt event monitoring

Towards Understanding of User Perceptions for Smart Border Control Technologies using a Fine-Tuned Transformer Approach

Modelling Phytoplankton Behaviour in the North and Irish Sea with Transformer Networks

Fast accuracy estimation of deep learning based multi-class musical source separation

Mutual information estimation for graph convolutional neural networks

SparseMeshCNN with Self-Attention for Segmentation of Large Meshes

Optimizing Slimmable Networks for Multiple Target Platforms

Extracting Rules from Neural Networks with Partial Interpretations

Forecasting Aquaponic Systems Behaviour With Recurrent Neural Networks Models

Unsupervised Time Series Classification for Climate Data

Learnable filter-banks for CNN-based audio applications

Photo-Realistic Continuous Image Super-Resolution with Implicit Neural Networks and Generative Adversarial Networks

Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach

Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning

A mammography classification model trained from image labels only

Surrogate-data-enriched Physics-Aware Neural Networks

Compressing CNN Kernels for Videos Using Tucker Decompositions: Towards Lightweight CNN Applications

Self-Communicating Deep Reinforcement Learning Agents Develop External Number Representations

The effect of dataset confounding on predictions of deep neural networks for medical imaging

Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection

Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples

LayeredCNN: Segmenting Layers with Autoregressive Models

Deep Reinforcement Learning for Detection of Abnormal Anatomies

Add a SideNet to your MainNet

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