Machine Learning
Organisational unit: Research Group
IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark
Contact information
- Web: https://ml.itu.dk
Organisation profile
The Machine Learning Research Group does research in a wide area of topics including: statistical machine learning, deep learning, natural language processing, algorithmic game theory, algorithms for big data, automated planning, robotics and image analysis.
- 2022
- Published
Tensor-based Emotion Editing in the StyleGAN Latent Space
Haas, R., Grasshof, S. & Brandt, S. S., 13 May 2022. 10 p.Research output: Contribution to conference - NOT published in proceeding or journal › Paper › Research › peer-review
- Published
Neural Network-Based Human Motion Smoother
Bastholm, M., Grasshof, S. & Brandt, S. S., Feb 2022, International Conference on Pattern Recognition Applications and Methods (ICPRA) 2022. https://www.scitepress.org/ProceedingsDetails.aspx?ID=ajMWuYUO5gc=&t=1Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Tensor-Based Non-Rigid Structure from Motion
Grasshof, S. & Brandt, S. S., Jan 2022, IEEE Winter Conference on Applications of Computer Vision (WACV) 2022.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- 2021
- Published
PROCAT: Product Catalogue Dataset for Implicit Clustering, Permutation Learning and Structure Prediction
Jurewicz, M. & Derczynski, L., 1 Dec 2021, Thirty-fifth Conference on Neural Information Processing Systems: Datasets and Benchmarks Track. 2021 ed. Vol. 1.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Tensor-based Subspace Factorization for StyleGAN
Haas, R., Grasshof, S. & Brandt, S. S., Dec 2021, IEEE International Conference on Automatic Face and Gesture Recognition 2021.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Hyperparameter Power Impact in Transformer Language Model Training
Puvis de Chavannes, L. H., Kongsbak, M. G. K., Rantzau, T. & Derczynski, L., 1 Nov 2021, Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing. Association for Computational LinguisticsResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
Multilinear Modelling of Faces and Expressions
Grasshof, S., Ackermann, H., Brandt, S. S. & Ostermann, J., 1 Oct 2021, In: I E E E Transactions on Pattern Analysis and Machine Intelligence. 43, 10, p. 3540-3554 14 p.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- Published
High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking Methods
Batista Narcizo, F., dos Santos, F. E. D. & Hansen, D. W., 15 Sep 2021, In: Vision. 5, 3, p. 1 27 p.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- Published
Set-to-Sequence Methods in Machine Learning: A Review
Jurewicz, M. & Derczynski, L., 12 Aug 2021, In: The Journal of Artificial Intelligence Research. 71, p. 885-924Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- Published
Annotating Online Misogyny
Zeinert, P., Inie, N. & Derczynski, L., 3 Aug 2021, Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, p. 3181–3197Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review