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2020 – today
- 2024
[j2]Klavdiia Naumova
, Arnout Devos, Sai Praneeth Karimireddy, Martin Jaggi, Mary-Anne Hartley:
MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images. npj Digit. Medicine 7(1) (2024)- 2020
- [c4]Arnout Devos, Yatin Dandi:
Model-Agnostic Learning to Meta-Learn. Preregister@NeurIPS 2020: 155-175 - [i4]Carlos Medina, Arnout Devos, Matthias Grossglauser:
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification. CoRR abs/2006.11325 (2020) - [i3]Arnout Devos, Yatin Dandi:
Model-Agnostic Learning to Meta-Learn. CoRR abs/2012.02684 (2020)
2010 – 2019
- 2019
- [c3]Arnout Devos, Sylvain Chatel, Matthias Grossglauser:
Reproducing Meta-learning with differentiable closed-form solvers. RML@ICLR 2019 - [i2]Arnout Devos, Matthias Grossglauser:
Subspace Networks for Few-shot Classification. CoRR abs/1905.13613 (2019) - [i1]Anca-Nicoleta Ciubotaru, Arnout Devos, Behzad Bozorgtabar, Jean-Philippe Thiran, Maria Gabrani:
Revisiting Few-Shot Learning for Facial Expression Recognition. CoRR abs/1912.02751 (2019) - 2018
- [j1]Kerim Türe, Arnout Devos, Franco Maloberti, Catherine Dehollain:
Area and Power Efficient Ultra-Wideband Transmitter Based on Active Inductor. IEEE Trans. Circuits Syst. II Express Briefs 65-II(10): 1325-1329 (2018) - [c2]Arnout Devos, Jakob Dhondt, Eugen Stripling, Bart Baesens, Seppe vanden Broucke, Gaurav S. Sukhatme:
Profit Maximizing Logistic Regression Modeling for Credit Scoring. DSW 2018: 125-129 - 2016
- [c1]Arnout Devos, Marco Vigilante, Patrick Reynaert:
Multiphase digitally controlled oscillator for future 5G phased arrays in 90 nm CMOS. NORCAS 2016: 1-4
Coauthor Index
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