| Online Continual Learning with Maximally Interfered Retrieval R Aljundi, L Caccia, E Belilovsky, M Caccia, M Lin, L Charlin, T Tuytelaars Advances In neural Information Processing Systems (NeurIPS), 2019 | 587* | 2019 |
| Scaling the Scattering Transform: Deep Hybrid Networks E Oyallon, E Belilovsky, S Zagoruyko International Conference on Computer Vision (ICCV), 5618-5627, 2017 | 176 | 2017 |
| Greedy Layerwise Learning Can Scale to ImageNet E Belilovsky, M Eickenberg, E Oyallon Proceedings of the 36th International Conference on Machine Learning (ICML …, 2019 | 160 | 2019 |
| Kymatio: Scattering transforms in python M Andreux, T Angles, G Exarchakisgeo, R Leonardu, G Rochette, L Thiry, ... The Journal of Machine Learning Research 21 (1), 2256-2261, 2020 | 143 | 2020 |
| CLIP-Mesh: Generating textured meshes from text using pretrained image-text models N Mohammad Khalid, T Xie, E Belilovsky, T Popa SIGGRAPH Asia 2022 Conference Papers, 1-8, 2022 | 112 | 2022 |
| Decoupled greedy learning of cnns E Belilovsky, M Eickenberg, E Oyallon Proceedings of the 37th International Conference on Machine Learning (ICML …, 2019 | 87 | 2019 |
| New Insights on Reducing Abrupt Representation Change in Online Continual Learning L Caccia, R Aljundi, N Asadi, T Tuytelaars, J Pineau, E Belilovsky International Conference on Learning Representations (ICLR), 2022 | 85 | 2022 |
| Scattering networks for hybrid representation learning E Oyallon, S Zagoruyko, G Huang, N Komodakis, S Lacoste-Julien, ... IEEE transactions on pattern analysis and machine intelligence 41 (9), 2208-2221, 2018 | 85 | 2018 |
| A Test of Relative Similarity for Model Selection in Generative Models E Belilovsky, W Bounliphone, MB Blaschko, I Antonoglou, A Gretton International Conference on Learning Representations (ICLR), 2016 | 79* | 2016 |
| Online Learned Continual Compression with Adaptive Quantization Modules L Caccia, E Belilovsky, M Caccia, J Pineau International Conference on Machine Learning (ICML), 2020 | 70 | 2020 |
| Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity E Belilovsky, G Varoquaux, MB Blaschko Advances In neural Information Processing Systems (NIPS), 2016 | 65 | 2016 |
| Blindfold Baselines for Embodied QA A Anand, E Belilovsky, K Kastner, H Larochelle, A Courville NIPS VIGIL Workshop arXiv preprint arXiv:1811.05013, 2018 | 49 | 2018 |
| Probing Representation Forgetting in Supervised and Unsupervised Continual Learning MR Davari, N Asadi, S Mudur, R Aljundi, E Belilovsky IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 48 | 2022 |
| Compressing the Input for CNNs with the First-Order Scattering Transform E Oyallon, E Belilovsky, S Zagoruyko, M Valko European Conference on Computer Vision (ECCV), 2018 | 38 | 2018 |
| Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation B Knyazev, H de Vries, C Cangea, GW Taylor, A Courville, E Belilovsky British Machine Vision Conference (BMVC), 2020 | 32 | 2020 |
| Learning to Discover Sparse Graphical Models E Belilovsky, K Kastner, G Varoquaux, MB Blaschko International Conference on Machine Learning (ICML), 2017 | 32 | 2017 |
| Graph density-aware losses for novel compositions in scene graph generation EB Knyazev, Boris, Harm de Vries, Catalina Cangea, Graham W Taylor, Aaron ... arXiv preprint arXiv:2005.08230 2 (3), 2020 | 29* | 2020 |
| Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors M Michalkiewicz, S Parisot, S Tsogkas, M Baktashmotlagh, A Eriksson, ... ECCV 2020 arXiv preprint arXiv:2004.06302, 2020 | 24 | 2020 |
| Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm E Belilovsky, K Gkirtzou, M Misyrlis, AB Konova, J Honorio, N Alia-Klein, ... Computerized Medical Imaging and Graphics 46, 40-46, 2015 | 23* | 2015 |
| Generative Compositional Augmentations for Scene Graph Prediction B Knyazev, H de Vries, C Cangea, GW Taylor, A Courville, E Belilovsky International Conference on Computer Vision (ICCV) arXiv preprint arXiv:2007 …, 2021 | 22* | 2021 |
Edouard OyallonCNRS, Sorbonne UniversityVerified email at cnrs.fr
