Proceedings of the Northern Lights Deep Learning Workshop

Current Issue

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

Published: 2023-01-23

Articles

FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers

Mathijs Boezer, Maryam Tavakol, Zahra Sajadi
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Evaluating current state of monocular 3D pose models for golf

Christian Keilstrup Ingwersen, Janus Nørtoft Jensen, Morten Rieger Hannemose, Anders Bjorholm Dahl
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PLM-AS: Pre-trained Language Models Augmented with Scanpaths for Sentiment Classification

Duo Yang, Nora Hollenstein
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RIDDLE: Rule Induction with Deep Learning

Cosimo Persia, Ricardo Guimarães
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Learning to solve arithmetic problems with a virtual abacus

Flavio Petruzzellis, Ling Xuan Chen, Alberto Testolin
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Signal and Visual Approaches for Parkinson's Disease Detection from Spiral Drawings

Manuel Gil-Martín, Cristina Luna-Jiménez, Fernando Fernández-Martínez, Rubén San-Segundo
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Automatic Consistency Checking of Table and Text in Financial Documents

Syed Musharraf Ali, Tobias Deußer, Sebastian Houben, Lars Hillebrand, Tim Metzler, Rafet Sifa
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Interactive Scribble Segmentation

Mathias Micheelsen Lowes, Jakob L. Christensen, Bjørn Schreblowski Hansen, Morten Rieger Hannemose, Anders Bjorholm Dahl, Vedrana Dahl
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Measuring Adversarial Robustness using a Voronoi-Epsilon Adversary

Hyeongji Kim, Pekka Parviainen, Ketil Malde
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Boundary Aware U-Net for Glacier Segmentation

Bibek Aryal, Katie E. Miles, Sergio A. Vargas Zesati, Olac Fuentes
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Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks

Miquel Martí i Rabadán, Alessandro Pieropan, Hossein Azizpour, Atsuto Maki
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Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation

Nicklas Boserup, Raghavendra Selvan
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Hybrid bayesian convolutional neural network object detection architectures for tracking small markers in automotive crashtest videos

Felix Neubürger, Daniel Gierse, Thomas Kopinski
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Improving Wind Speed Uncertainty Forecasts Using Recurrent Neural Networks

Juri Backes, Wolfgang Renz
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Improved Imagery Throughput via Cascaded Uncertainty Pruning on U-Net++

Mingshi Li, Zifu Wang, Matthew Blaschko
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Semi- and weak-supervised learning for Norwegian tree species detection

Martijn Vermeer, David Völgyes, Tord Kriznik Sørensen, Heidrun Miller, Daniele Fantin
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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
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Simplifying Clustering with Graph Neural Networks

Filippo Maria Bianchi
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Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics

Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki
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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
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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
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A comparison between Tsetlin machines and deep neural networks in the context of recommendation systems

Karl Audun Kagnes Borgersen, Morten Goodwin, Jivitesh Sharma
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Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort

Bjørn-Jostein Singstad, Belal Tavashi
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Multi-lingual agents through multi-headed neural networks

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

Alvaro Fernandez-Quilez, Christoffer Gabrielsen Andersen, Trygve Eftestøl, Svein Reidar Kjosavik, Ketil Oppedal
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Using Mask R-CNN for Underwater Fish Instance Segmentation as Novel Objects: A Proof of Concept

I-Hao Chen, Nabil Belbachir
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Explainability in subgraphs-enhanced Graph Neural Networks

Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi
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Robin Pre-Training for the Deep Ritz Method

Luca Courte, Marius Zeinhofer
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Questionable Practices in Methodological Deep Learning Research

Daniel J. Trosten
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Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks

Qing Li, Jiahui Geng, Steinar Evje, Chunming Rong
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Reducing Annotator's Burden: Cross-Pseudo Supervision for Brain Tumor Segmentation

Lidia Luque, Jon André Ottesen, Atle Bjørnerud, Kyrre Eeg Emblem, Bradley J. MacIntosh
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Contrastive learning for unsupervised medical image clustering and reconstruction

Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon Spasov, Nicola Toschi
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Automatic Postoperative Brain Tumor Segmentation with Limited Data using Transfer Learning and Triplet Attention

Jingpeng Li, Atle Bjørnerud
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