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2020 – today
- 2024
[i4]Martin Willbo, Aleksis Pirinen, John Martinsson, Edvin Listo Zec, Olof Mogren, Mikael Nilsson:
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning. CoRR abs/2403.04385 (2024)- 2023
- [i3]Marcus Toftås, Emilie Klefbom, Edvin Listo Zec, Martin Willbo, Olof Mogren:
Concept-aware clustering for decentralized deep learning under temporal shift. CoRR abs/2306.12768 (2023) - 2022
- [c3]Rickard K. A. Karlsson, Martin Willbo, Zeshan M. Hussain, Rahul G. Krishnan, David A. Sontag, Fredrik Johansson:
Using time-series privileged information for provably efficient learning of prediction models. AISTATS 2022: 5459-5484 - [c2]John Martinsson, Martin Willbo, Aleksis Pirinen, Olof Mogren, Maria Sandsten:
Few-Shot Bioacoustic Event Detection Using an Event-Length Adapted Ensemble of Prototypical Networks. DCASE 2022 - [c1]Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas:
Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration. FL@IJCAI 2022: 59-71 - [i2]Edvin Listo Zec, Ebba Ekblom, Martin Willbo, Olof Mogren, Sarunas Girdzijauskas:
Decentralized adaptive clustering of deep nets is beneficial for client collaboration. CoRR abs/2206.08839 (2022) - 2021
- [i1]Rickard Karlsson, Martin Willbo, Zeshan M. Hussain, Rahul G. Krishnan, David A. Sontag, Fredrik D. Johansson:
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models. CoRR abs/2110.14993 (2021)
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