| TADAM: Task dependent adaptive metric for improved few-shot learning BN Oreshkin, P Rodriguez, A Lacoste Advances in Neural Information Processing Systems 31, 721--731, 2018 | 1560 | 2018 |
| Beyond one-hot encoding: Lower dimensional target embedding P Rodríguez, MA Bautista, J Gonzalez, S Escalera Image and Vision Computing 75, 21-31, 2018 | 418 | 2018 |
| Deep pain: Exploiting long short-term memory networks for facial expression classification P Rodriguez, G Cucurull, J Gonzàlez, JM Gonfaus, K Nasrollahi, ... IEEE transactions on cybernetics 52 (5), 3314-3324, 2017 | 317 | 2017 |
| Seasonal contrast: Unsupervised pre-training from uncurated remote sensing data O Manas, A Lacoste, X Giró-i-Nieto, D Vazquez, P Rodriguez Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 253 | 2021 |
| Embedding propagation: Smoother manifold for few-shot classification P Rodríguez, I Laradji, A Drouin, A Lacoste Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 227 | 2020 |
| Regularizing CNNs with Locally Constrained Decorrelations P Rodríguez, J Gonzàlez, G Cucurull, JM Gonfaus, X Roca Proceedings of the International Conference on Learning Representations (ICLR), 2017 | 156 | 2017 |
| Online fast adaptation and knowledge accumulation (osaka): a new approach to continual learning M Caccia, P Rodriguez, O Ostapenko, F Normandin, M Lin, ... Advances in Neural Information Processing Systems 33, 16532-16545, 2020 | 153* | 2020 |
| Disentanglement via mechanism sparsity regularization: A new principle for nonlinear ICA S Lachapelle, P Rodriguez, Y Sharma, KE Everett, R Le Priol, A Lacoste, ... Conference on Causal Learning and Reasoning, 428-484, 2022 | 122 | 2022 |
| Age and gender recognition in the wild with deep attention P Rodríguez, G Cucurull, JM Gonfaus, FX Roca, J Gonzalez Pattern Recognition 72, 563-571, 2017 | 122 | 2017 |
| A weakly supervised consistency-based learning method for covid-19 segmentation in ct images I Laradji, P Rodriguez, O Manas, K Lensink, M Law, L Kurzman, W Parker, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 102 | 2021 |
| A survey of self-supervised and few-shot object detection G Huang, I Laradji, D Vazquez, S Lacoste-Julien, P Rodriguez IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 4071-4089, 2022 | 90 | 2022 |
| Pay attention to the activations: a modular attention mechanism for fine-grained image recognition P Rodríguez, D Velazquez, C Guillem, JM Gonfaus, FX Roca, J González IEEE Transactions on Multimedia, 1-1, 2019 | 90 | 2019 |
| Data augmentation for intent classification with off-the-shelf large language models G Sahu, P Rodriguez, IH Laradji, P Atighehchian, D Vazquez, ... arXiv preprint arXiv:2204.01959, 2022 | 74 | 2022 |
| Continual learning via local module composition O Ostapenko, P Rodriguez, M Caccia, L Charlin Advances in Neural Information Processing Systems 34, 30298-30312, 2021 | 71 | 2021 |
| Spatio-temporal pain recognition in cnn-based super-resolved facial images M Bellantonio, MA Haque, P Rodriguez, K Nasrollahi, T Telve, S Escalera, ... Video Analytics. Face and Facial Expression Recognition and Audience …, 2017 | 66 | 2017 |
| CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions V Lomonaco, L Pellegrini, P Rodriguez, M Caccia, Q She, Y Chen, ... Artificial Intelligence 303, 103635, 2022 | 60 | 2022 |
| Single image super-resolution based on directional variance attention network P Behjati, P Rodriguez, C Fernández, I Hupont, A Mehri, J Gonzalez Pattern Recognition 133, 108997, 2023 | 59 | 2023 |
| Beyond trivial counterfactual explanations with diverse valuable explanations P Rodriguez, M Caccia, A Lacoste, L Zamparo, I Laradji, L Charlin, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 57 | 2021 |
| Attend and rectify: a gated attention mechanism for fine-grained recovery P Rodríguez, JM Gonfaus, G Cucurull, F XavierRoca, J Gonzalez Proceedings of the European conference on computer vision (ECCV), 349-364, 2018 | 53 | 2018 |
| Continual learning with foundation models: An empirical study of latent replay O Ostapenko, T Lesort, P Rodriguez, MR Arefin, A Douillard, I Rish, ... Conference on lifelong learning agents, 60-91, 2022 | 52* | 2022 |
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