Vol. 4 (2023): Proceedings of the Northern Lights Deep Learning Workshop 2023

Published: 2023-01-23

Articles

Learning to solve arithmetic problems with a virtual abacus

Flavio Petruzzellis, Ling Xuan Chen, Alberto Testolin
- PDF
Improved Imagery Throughput via Cascaded Uncertainty Pruning on U-Net++

Mingshi Li, Zifu Wang, Matthew Blaschko
- PDF
Multi-lingual agents through multi-headed neural networks

Jonathan D. Thomas, Ra´ul Santos-Rodr´ıguez, Mihai Anca, Robert Piechocki
- PDF
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI

Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
- PDF
Automatic Postoperative Brain Tumor Segmentation with Limited Data using Transfer Learning and Triplet Attention

Jingpeng Li, Atle Bjørnerud
- PDF
Evaluating current state of monocular 3D pose models for golf

Christian Keilstrup Ingwersen, Janus Nørtoft Jensen, Morten Rieger Hannemose, Anders Bjorholm Dahl
- PDF
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation

Nicklas Boserup, Raghavendra Selvan
- PDF
Multi-modal data generation with a deep metric variational autoencoder

Josefine Vilsbøll Sundgaard, Morten Rieger Hannemose, Søren Laugesen, Peter Bray, James Harte, Yosuke Kamide, Chiemi Tanaka, Rasmus R. Paulsen, Anders Nymark Christensen
- PDF
Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks

Qing Li, Jiahui Geng, Steinar Evje, Chunming Rong
- PDF
Automatic Consistency Checking of Table and Text in Financial Documents

Syed Musharraf Ali, Tobias Deußer, Sebastian Houben, Lars Hillebrand, Tim Metzler, Rafet Sifa
- PDF
A contrastive learning approach for individual re-identification in a wild fish population

Ørjan Langøy Olsen, Tonje Knutsen Sørdalen, Morten Goodwin, Ketil Malde, Kristian Muri Knausgård, Kim Tallaksen Halvorsen
- PDF
Simplifying Clustering with Graph Neural Networks

Filippo Maria Bianchi
- PDF
Explainability in subgraphs-enhanced Graph Neural Networks

Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi
- PDF
RIDDLE: Rule Induction with Deep Learning

Cosimo Persia, Ricardo Guimarães
- PDF
Improving Wind Speed Uncertainty Forecasts Using Recurrent Neural Networks

Juri Backes, Wolfgang Renz
- PDF
Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort

Bjørn-Jostein Singstad, Belal Tavashi
- PDF
Contrastive learning for unsupervised medical image clustering and reconstruction

Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon Spasov, Nicola Toschi
- PDF
FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers

Mathijs Boezer, Maryam Tavakol, Zahra Sajadi
- PDF
Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary

Hyeongji Kim, Pekka Parviainen, Ketil Malde
- PDF
Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks

Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki
- PDF
Contradiction Detection in Financial Reports

Tobias Deußer, Maren Pielka, Lisa Pucknat, Basil Jacob, Tim Dilmaghani, Mahdis Nourimand, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa
- PDF
Questionable Practices in Methodological Deep Learning Research

Daniel J. Trosten
- PDF
Signal and Visual Approaches for Parkinson's Disease Detection from Spiral Drawings

Manuel Gil-Martín, Cristina Luna-Jiménez, Fernando Fernández-Martínez, Rubén San-Segundo
- PDF
Semi- and weak-supervised learning for Norwegian tree species detection

Martijn Vermeer, David Völgyes, Tord Kriznik Sørensen, Heidrun Miller, Daniele Fantin
- PDF
Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA

Georgios Agrafiotis, Eftychia Makri, Ilias Kalamaras, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras
- PDF
Using Mask R-CNN for Underwater Fish Instance Segmentation as Novel Objects: A Proof of Concept

I-Hao Chen, Nabil Belbachir
- PDF
PLM-AS: Pre-trained Language Models Augmented with Scanpaths for Sentiment Classification

Duo Yang, Nora Hollenstein
- PDF
Hybrid bayesian convolutional neural network object detection architectures for tracking small markers in automotive crashtest videos

Felix Neubürger, Daniel Gierse, Thomas Kopinski
- PDF
A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems

Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma
- PDF
Reducing Annotator's Burden: Cross-Pseudo Supervision for Brain Tumor Segmentation

Lidia Luque, Jon André Ottesen, Atle Bjørnerud, Kyrre Eeg Emblem, Bradley J. MacIntosh
- PDF
Interactive Scribble Segmentation

Mathias Micheelsen Lowes, Jakob L. Christensen, Bjørn Schreblowski Hansen, Morten Rieger Hannemose, Anders Bjorholm Dahl, Vedrana Dahl
- PDF
Boundary Aware U-Net for Glacier Segmentation

Bibek Aryal, Katie E. Miles, Sergio A. Vargas Zesati, Olac Fuentes
- PDF
Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics

Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
- PDF
Robin Pre-Training for the Deep Ritz Method

Luca Courte, Marius Zeinhofer
- PDF

Vol. 4 (2023): Proceedings of the Northern Lights Deep Learning Workshop 2023

Articles

Learning to solve arithmetic problems with a virtual abacus

Improved Imagery Throughput via Cascaded Uncertainty Pruning on U-Net++

Multi-lingual agents through multi-headed neural networks

3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI

Automatic Postoperative Brain Tumor Segmentation with Limited Data using Transfer Learning and Triplet Attention

Evaluating current state of monocular 3D pose models for golf

Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation

Multi-modal data generation with a deep metric variational autoencoder

Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks

Automatic Consistency Checking of Table and Text in Financial Documents

A contrastive learning approach for individual re-identification in a wild fish population

Simplifying Clustering with Graph Neural Networks

Explainability in subgraphs-enhanced Graph Neural Networks

RIDDLE: Rule Induction with Deep Learning

Improving Wind Speed Uncertainty Forecasts Using Recurrent Neural Networks

Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort

Contrastive learning for unsupervised medical image clustering and reconstruction

FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers

Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary

Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks

Contradiction Detection in Financial Reports

Questionable Practices in Methodological Deep Learning Research

Signal and Visual Approaches for Parkinson's Disease Detection from Spiral Drawings

Semi- and weak-supervised learning for Norwegian tree species detection

Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA

Using Mask R-CNN for Underwater Fish Instance Segmentation as Novel Objects: A Proof of Concept

PLM-AS: Pre-trained Language Models Augmented with Scanpaths for Sentiment Classification

Hybrid bayesian convolutional neural network object detection architectures for tracking small markers in automotive crashtest videos

A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems

Reducing Annotator's Burden: Cross-Pseudo Supervision for Brain Tumor Segmentation

Interactive Scribble Segmentation

Boundary Aware U-Net for Glacier Segmentation

Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics

Robin Pre-Training for the Deep Ritz Method

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