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Edouard Oyallon
Edouard Oyallon
CNRS, Sorbonne University
Correu electrònic verificat a cnrs.fr - Pàgina d'inici
Títol
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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
15472022
On Lazy Training in Differentiable Programming
L Chizat, E Oyallon, F Bach
Advances in Neural Information Processing Systems 32, 2937--2947, 2019
10762019
i-RevNet: Deep Invertible Networks
JH Jacobsen, A Smeulders, E Oyallon
International Conference on Learning Representations (ICLR), 2018
4212018
Deep Roto-translation Scattering for Object Classification
E Oyallon, S Mallat
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2865-2873, 2015
2752015
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
2262019
Scaling the Scattering Transform: Deep Hybrid Networks
E Oyallon, E Belilovsky, S Zagoruyko
The IEEE International Conference on Computer Vision (ICCV), 5618-5627, 2017
2142017
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
2112020
An Analysis of the SURF Method
E Oyallon, J Rabin
Image Processing On Line 5, 176-218, 2015
206*2015
Decoupled Greedy Learning of CNNs
E Belilovsky, M Eickenberg, E Oyallon
International Conference on Machine Learning, 736-745, 2020
1282020
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
1072018
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
422018
Nonlinear Acceleration of CNNs
D Scieur, E Oyallon, A d'Aspremont, F Bach
International Conference on Learning Representations (ICLR) Workshop track, 2018
39*2018
Building a Regular Decision Boundary with Deep Networks
E Oyallon
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5106-5114, 2017
382017
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
32*2014
Hierarchical Attribute CNNs
JH Jacobsen, E Oyallon, S Mallat, AWM Smeulders
ICML 2017 Workshop on Principled Approaches to Deep Learning, 2017
29*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
282023
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
L Thiry, M Arbel, E Belilovsky, E Oyallon
International Conference on Learning Representations, 2021
182021
Can Forward Gradient Match Backpropagation?
L Fournier, S Rivaud, E Belilovsky, M Eickenberg, E Oyallon
Proceedings of the 40th International Conference on Machine Learning 202 …, 2023
152023
Guiding The Last Layer in Federated Learning with Pre-Trained Models
G Legate, N Bernier, L Caccia, E Oyallon, E Belilovsky
Advances in Neural Information Processing Systems, 2023
142023
En aquests moments el sistema no pot dur a terme l'operació. Torneu-ho a provar més tard.
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