| A continual learning survey: Defying forgetting in classification tasks M De Lange, R Aljundi, M Masana, S Parisot, X Jia, A Leonardis, ... TPAMI, 2021 | 1686* | 2021 |
| Continual prototype evolution: Learning online from non-stationary data streams M De Lange, T Tuytelaars ICCV 2021, 2020 | 180 | 2020 |
| 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 | 171 | 2021 |
| Rehearsal revealed: The limits and merits of revisiting samples in continual learning E Verwimp*, M De Lange*, T Tuytelaars ICCV 2021, 2021 | 76 | 2021 |
| Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem M De Lange, X Jia, S Parisot, A Leonardis, G Slabaugh, T Tuytelaars Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 27 | 2020 |
| Continual evaluation for lifelong learning: Identifying the stability gap M De Lange, G van de Ven, T Tuytelaars International Conference on Learning Representations (ICLR), 2023 | 25 | 2023 |
| Clad: A realistic continual learning benchmark for autonomous driving E Verwimp, K Yang, S Parisot, L Hong, S McDonagh, E Pérez-Pellitero, ... Neural Networks 161, 659-669, 2023 | 20 | 2023 |
| Re-examining distillation for continual object detection E Verwimp, K Yang, S Parisot, H Lanqing, S McDonagh, E Pérez-Pellitero, ... arXiv preprint arXiv:2204.01407, 2022 | 11 | 2022 |
| 3rd continual learning workshop challenge on egocentric category and instance level object understanding L Pellegrini, C Zhu, F Xiao, Z Yan, A Carta, M De Lange, V Lomonaco, ... arXiv preprint arXiv:2212.06833, 2022 | 6 | 2022 |
| Multiscale video pretraining for long-term activity forecasting R Tan, M De Lange, M Iuzzolino, BA Plummer, K Saenko, K Ridgeway, ... arXiv preprint arXiv:2307.12854, 2023 | 2 | 2023 |
| Towards Open-World Gesture Recognition J Shen, M De Lange, X Xu, E Zhou, R Tan, N Suda, M Lazarewicz, ... arXiv preprint arXiv:2401.11144, 2024 | | 2024 |
| EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video M De Lange, H Eghbalzadeh, R Tan, M Iuzzolino, F Meier, K Ridgeway arXiv preprint arXiv:2307.05784, 2023 | | 2023 |
| Incremental and adaptive machine learning. M De Lange, T Tuytelaars KU Leuven, 2023 | | 2023 |
Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
