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Gido M. van de Ven
Gido M. van de Ven
Postdoctoral Associate, KU Leuven
E-mail confirmado em kuleuven.be - Página inicial
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Three scenarios for continual learning
GM van de Ven, AS Tolias
arXiv preprint arXiv:1904.07734, 2019
8402019
Brain-inspired replay for continual learning with artificial neural networks
GM van de Ven, HT Siegelmann, AS Tolias
Nature Communications 11, 4069, 2020
4022020
Hippocampal offline reactivation consolidates recently formed cell assembly patterns during sharp wave-ripples
GM van de Ven, S Trouche, CG McNamara, K Allen, D Dupret
Neuron 92 (5), 968-974, 2016
2792016
Generative replay with feedback connections as a general strategy for continual learning
GM van de Ven, AS Tolias
arXiv preprint arXiv:1809.10635, 2018
2282018
Three types of incremental learning
GM van de Ven, T Tuytelaars, AS Tolias
Nature Machine Intelligence 4 (12), 1185-1197, 2022
1872022
Avalanche: an end-to-end library for continual learning
V Lomonaco, L Pellegrini, A Cossu, A Carta, G Graffieti, TL Hayes, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1772021
Parsing hippocampal theta oscillations by nested spectral components during spatial exploration and memory-guided behavior
V Lopes-dos-Santos, GM van de Ven, A Morley, S Trouche, ...
Neuron 100 (4), 940-952, 2018
1552018
Biological underpinnings for lifelong learning machines
D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ...
Nature Machine Intelligence 4 (3), 196-210, 2022
1462022
Recoding a cocaine-place memory engram to a neutral engram in the hippocampus
S Trouche, PV Perestenko, GM van de Ven, CT Bratley, CG McNamara, ...
Nature Neuroscience 19 (4), 564-567, 2016
1342016
Attention fine-tunes auditory–motor processing of speech sounds
R Möttönen, GM van de Ven, KE Watkins
Journal of Neuroscience 34 (11), 4064-4069, 2014
752014
Class-incremental learning with generative classifiers
GM van de Ven, Z Li, AS Tolias
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
452021
Natural continual learning: success is a journey, not (just) a destination
TC Kao*, KT Jensen*, GM van de Ven, A Bernacchia, G Hennequin
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
422021
Energy-based models for continual learning
S Li, Y Du, GM van de Ven, I Mordatch
Conference on Lifelong Learning Agents (CoLLAs) – oral, 2022
41*2022
Three continual learning scenarios
GM van de Ven, AS Tolias
NeurIPS, Continual Learning Workshop, 2018
262018
Continual evaluation for lifelong learning: identifying the stability gap
M De Lange, GM van de Ven, T Tuytelaars
International Conference on Learning Representations (ICLR) – spotlight, 2023
252023
Representation ensembling for synergistic lifelong learning with quasilinear complexity
JT Vogelstein*, J Dey*, HS Helm, W LeVine, RD Mehta, TM Tomita, H Xu, ...
arXiv preprint arXiv:2004.12908, 2020
17*2020
Three continual learning scenarios and a case for generative replay
GM van de Ven, AS Tolias
Submission to ICLR, 2018
92018
Prediction error-based classification for class-incremental learning
M Zając, T Tuytelaars, GM van de Ven
International Conference on Learning Representations (ICLR), 2024
42024
Continual learning: applications and the road forward
E Verwimp, R Aljundi, S Ben-David, M Bethge, A Cossu, A Gepperth, ...
Transactions on Machine Learning Research (TMLR), 2024
42024
Two complementary perspectives to continual learning: ask not only what to optimize, but also how
T Hess, T Tuytelaars, GM van de Ven
arXiv preprint arXiv:2311.04898, 2023
32023
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