Why do tree-based models still outperform deep learning on typical tabular data? L Grinsztajn, E Oyallon, G Varoquaux Advances in neural information processing systems 35, 507-520, 2022 | 966* | 2022 |
On Lazy Training in Differentiable Programming L Chizat, E Oyallon, F Bach Advances in Neural Information Processing Systems 32, 2937--2947, 2019 | 930 | 2019 |
i-RevNet: Deep Invertible Networks JH Jacobsen, A Smeulders, E Oyallon International Conference on Learning Representations (ICLR), 2018 | 379 | 2018 |
Deep Roto-translation Scattering for Object Classification E Oyallon, S Mallat The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2865-2873, 2015 | 263 | 2015 |
Greedy Layerwise Learning can Scale to ImageNet E Belilovsky, M Eickenberg, E Oyallon Proceedings of the 36th International Conference on Machine Learning 97, 583-593, 2019 | 200 | 2019 |
Scaling the Scattering Transform: Deep Hybrid Networks E Oyallon, E Belilovsky, S Zagoruyko The IEEE International Conference on Computer Vision (ICCV), 5618-5627, 2017 | 194 | 2017 |
An Analysis of the SURF Method E Oyallon, J Rabin Image Processing On Line 5, 176-218, 2015 | 192* | 2015 |
Kymatio: Scattering transforms in python M Andreux, T Angles, G Exarchakis, R Leonarduzzi, G Rochette, L Thiry, ... Journal of Machine Learning Research 21 (60), 1-6, 2020 | 178 | 2020 |
Decoupled Greedy Learning of CNNs E Belilovsky, M Eickenberg, E Oyallon International Conference on Machine Learning, 736-745, 2020 | 117 | 2020 |
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 | 96 | 2018 |
Generic Deep Networks with Wavelet Scattering E Oyallon, S Mallat, L Sifre International Conference on Learning Representations (ICLR) Workshop track, 2014 | 60* | 2014 |
Compressing the Input for CNNs with the First-order Scattering Transform E Oyallon, E Belilovsky, S Zagoruyko, M Valko Proceedings of the European Conference on Computer Vision (ECCV), 301-316, 2018 | 40 | 2018 |
Nonlinear Acceleration of CNNs D Scieur, E Oyallon, A d'Aspremont, F Bach International Conference on Learning Representations (ICLR) Workshop track, 2018 | 40* | 2018 |
Building a Regular Decision Boundary with Deep Networks E Oyallon The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5106-5114, 2017 | 34 | 2017 |
Scatnet J Andén, L Sifre, S Mallat, M Kapoko, V Lostanlen, E Oyallon Computer Software. Available: http://www.di.ens.fr/data/software/scatnet, 2014 | 31* | 2014 |
Hierarchical Attribute CNNs JH Jacobsen, E Oyallon, S Mallat, AWM Smeulders ICML 2017 Workshop on Principled Approaches to Deep Learning, 2017 | 26* | 2017 |
Gradient masked averaging for federated learning I Tenison, SA Sreeramadas, V Mugunthan, E Oyallon, I Rish, E Belilovsky Transactions on Machine Learning Research, 2023 | 19 | 2023 |
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods L Thiry, M Arbel, E Belilovsky, E Oyallon International Conference on Learning Representations, 2021 | 16* | 2021 |
Analyzing and Introducing Structures in Deep Convolutional Neural Networks E Oyallon Paris Sciences et Lettres, 2017 | 12 | 2017 |
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization A Nabli, E Oyallon International Conference on Machine Learning, 25604-25626, 2023 | 10 | 2023 |