ICWSM '24: Proceedings of the 18th International AAAI Conference on Web and Social Media
Narratives of Collective Action in YouTube’s Discourse on Veganism
Arianna Pera, Luca M. Aiello
Data-centric Machine Learning Research (DMLR)
NAFlora-1M: Continental-Scale High-Resolution Fine-Grained Plant Classification Dataset
John Park, Riccardo de Lutio, Brendan Rappazzo, Barbara Ambrose, Fabian Michelangeli, Kimberly Watson, Serge Belongie, Damon Little
MMEarth: Exploring Multi-modal Pretext Tasks for Geospatial Representation Learning
Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge Belongie, Christian Igel, Nico Lang
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Metrics of Motor Learning for Analyzing Movement Mapping in Virtual Reality
Difeng Yu, Mantas Cibulskis, Erik S. Mortensen, Mark S. Christensen, Joanna Bergström
Proceedings of the 5th Northern Lights Deep Learning Conference (NLDL)
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept
Asbjørn Munk, Ao Ma, Mads Nielsen
Expert Systems with Applications
LSNetv2: Improving weakly supervised power line detection with bipartite matching
Duy K. Tran, Van N. Nguyen, Davide Roverso, Robert Jenssen, Michael Kampffmeyer
NeurIPS 2024
LoQT: Low-Rank Adapters for Quantized Pretraining
Sebastian Loeschcke, Mads Toftrup, Michael J. Kastoryano, Serge Belongie, Vésteinn Snæbjarnarson
Proceedings of the 5th Northern Lights Deep Learning Conference (NLDL)
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI
Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai
Local Borsuk-Ulam, Stability, and Replicability
Zachary Chase, Bogdan Chornomaz, Shay Moran, Amir Yehudayoff
Association for Computational Linguistics
LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models
Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge Belongie, Isabelle Augenstein
Pattern Recognition
Leveraging tensor kernels to reduce objective function mismatch in deep clustering
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Learning Semantic Image Quality for Fetal Ultrasound from Noisy Ranking Annotation
Manxi Lin, Jakob Ambsdorf, Emilie P. F. Sejer, Zahra Bashir, Chun K. Wong, Paraskevas Pegios, Alberto Raheli, Morten B. S. Svendsen, Mads Nielsen, Martin G. Tolsgaard, Anders N. Christensen, Aasa Feragen
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2024 (MICCAI 2024)
Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification
Kilian Zepf, Selma Wanna, Marco Miani, Juston Moore, Jes Frellsen, Søren Hauberg, Frederik Warburg, Aasa Feragen
Labeled Data Selection for Category Discovery
Bingchen Zhao, Nico Lang, Serge Belongie, Oisin M. Aodha
Knowledge Graphs for Empirical Concept Retrieval
Lenka Tětková, Teresa K. Scheidt, Maria M. Fogh, Ellen M. G. Jørgensen, Finn Å. Nielsen, Lars K. Hansen
Advances in Neural Information Processing Systems 37
Kermut: Composite kernel regression for protein variant effects
Peter M. Groth, Mads H. Kerrn, Lars Olsen, Jesper Salomon, Wouter Boomsma
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
Joint Minimum Processing Beamforming and Near-end Listening Enhancement
Andreas J. Fuglsig, Jesper Jensen, Zheng-Hua Tan, Lars S. Bertelsen, Jens C. Lindof, Jan Østergaard
IEEE Access
Joint Far- and Near-end Speech and Listening Enhancement with Minimum Processing
Andreas J. Fuglsig, Zheng-Hua Tan, Lars S. Bertelsen, Jesper Jensen, Jens C. Lindof, Jan Østergaard
Association for Computational Linguistics
Investigating the Impact of Model Instability on Explanations and Uncertainty
Sara V. Marjanović, Isabelle Augenstein, Christina Lioma
IEEE Geoscience and Remote Sensing Letters
Interrogating Sea Ice Predictability With Gradients
Harald L. Joakimsen, Iver Martinsen, Luigi T. Luppino, Andrew McDonald, Scott Hosking, Robert Jenssen
Proceedings of the 41st International Conference on Machine Learning
Interpreting Equivariant Representations
Andreas A. Hansen, Anna Calissano, Aasa Feragen
DIS '24: Proceedings of the 2024 ACM Designing Interactive Systems Conference
Integrated Calculators: Moving Calculation into the World
Henning Pohl, Kasper Hornbæk
Proceedings of the 5th Northern Lights Deep Learning Conference (NLDL)
Instruction-guided deidentification with synthetic test cases for Norwegian clinical text
Jørgen A. Lund, Karl Ø. Mikalsen, Joel Burman, Ashenafi Z. Woldaregay, Robert Jenssen
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 (MICCAI 2024)
Incorporating Clinical Guidelines Through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
Tiantian Zhang, Manxi Lin, Hongda Guo, Xiaofan Zhang, Ka F. P. Chiu, Aasa Feragen, Qi Dou
Plos one
Image classification with symbolic hints using limited resources
Mikkel G. Jørgensen, Lenka Tětková, Lars K. Hansen
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