Proceedings of the Northern Lights Deep Learning Workshop

Articles

• RIDDLE: Rule Induction with Deep Learning

  Cosimo Persia, Ricardo Guimarães

  • PDF

• Contrastive learning for unsupervised medical image clustering and reconstruction

  Matteo Ferrante, Tommaso Boccato, Andrea Duggento, Simeon Spasov, Nicola Toschi

  • 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

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

  Martijn Vermeer, David Völgyes, Tord Kriznik Sørensen, Heidrun Miller, Daniele Fantin

  • PDF

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

  Duo Yang, Nora Hollenstein

  • 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

• Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics

  Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki

  • PDF

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

  Mingshi Li, Zifu Wang, Matthew Blaschko

  • PDF

• Evaluating current state of monocular 3D pose models for golf

  Christian Keilstrup Ingwersen, Janus Nørtoft Jensen, Morten Rieger Hannemose, Anders Bjorholm Dahl

  • PDF

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

  Qing Li, Jiahui Geng, Steinar Evje, Chunming Rong

  • PDF

• Simplifying Clustering with Graph Neural Networks

  Filippo Maria Bianchi

  • PDF

• Improving Wind Speed Uncertainty Forecasts Using Recurrent Neural Networks

  Juri Backes, Wolfgang Renz

  • 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

• Questionable Practices in Methodological Deep Learning Research

  Daniel J. Trosten

  • 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

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

  Felix Neubürger, Daniel Gierse, Thomas Kopinski

  • PDF

• Interactive Scribble Segmentation

  Mathias Micheelsen Lowes, Jakob L. Christensen, Bjørn Schreblowski Hansen, Morten Rieger Hannemose, Anders Bjorholm Dahl, Vedrana Dahl

  • PDF

• Robin Pre-Training for the Deep Ritz Method

  Luca Courte, Marius Zeinhofer

  • PDF

• Multi-lingual agents through multi-headed neural networks

  Jonathan D. Thomas, Ra´ul Santos-Rodr´ıguez, Mihai Anca, Robert Piechocki

  • PDF

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

  Nicklas Boserup, Raghavendra Selvan

  • 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

• Explainability in subgraphs-enhanced Graph Neural Networks

  Michele Guerra, Indro Spinelli, Simone Scardapane, Filippo Maria Bianchi

  • PDF

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

  Bjørn-Jostein Singstad, Belal Tavashi

  • 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

• 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

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

  I-Hao Chen, Nabil Belbachir

  • 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

• Boundary Aware U-Net for Glacier Segmentation

  Bibek Aryal, Katie E. Miles, Sergio A. Vargas Zesati, Olac Fuentes

  • PDF

• Learning to solve arithmetic problems with a virtual abacus

  Flavio Petruzzellis, Ling Xuan Chen, Alberto Testolin

  • 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

• 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

• 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