Measuring the data efficiency of deep learning methods HD Hlynsson, L Wiskott arXiv preprint arXiv:1907.02549, 2019 | 12* | 2019 |
Gradient-based training of slow feature analysis by differentiable approximate whitening M Schüler, HD Hlynsson, L Wiskott Asian Conference on Machine Learning, 316-331, 2019 | 9 | 2019 |
Learning gradient-based ICA by neurally estimating mutual information HD Hlynsson, L Wiskott Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2019 | 5 | 2019 |
Latent representation prediction networks H David Hlynsson, M Schüler, R Schiewer, T Glasmachers, L Wiskott International Journal of Pattern Recognition and Artificial Intelligence 36 …, 2022 | 1 | 2022 |
Visual processing in context of reinforcement learning HD Hlynsson | | 2022 |
Semi-self-supervised Automated ICD Coding HD Hlynsson, S Ellertsson, JF Dašason, EL Sigurdsson, H Loftsson arXiv preprint arXiv:2205.10088, 2022 | | 2022 |
Reduction of Variance-related Error through Ensembling: Deep Double Descent and Out-of-Distribution Generalization. P Rath-Manakidis, HD Hlynsson, L Wiskott ICPRAM, 31-40, 2022 | | 2022 |
Reward prediction for representation learning and reward shaping HD Hlynsson, L Wiskott arXiv preprint arXiv:2105.03172, 2021 | | 2021 |