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

Published: 2022-03-28

Articles

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
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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
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
- PDF
Re-Identification of Giant Sunfish using Keypoint Matching

Malte Pedersen, Joakim Bruslund Haurum, Thomas B. Moeslund, Marianne Nyegaard
- PDF
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

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

Articles

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

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

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