Search - Archive ouverte HAL Access content directly

Filter your results

16 Results
Image document

Analyzing and Introducing Structures in Deep Convolutional Neural Networks

Edouard Oyallon
Machine Learning [stat.ML]. Paris Sciences et Lettres, 2017. English. ⟨NNT : ⟩
Theses tel-02353134v1

Kymatio: Scattering Transforms in Python

Mathieu Andreux , Tomás Angles , Georgios Exarchakis , Roberto Leonarduzzi , Gaspar Rochette et al.
Journal of Machine Learning Research, 2020, 21 (60), pp.1-6
Journal articles hal-02945354v1

An Analysis of the SURF Method

Edouard Oyallon , Julien Rabin
Image Processing On Line, 2015, 5, pp.176 - 218. ⟨10.5201/ipol.2015.69⟩
Journal articles hal-01657161v1
Image document

On Lazy Training in Differentiable Programming

Lenaic Chizat , Edouard Oyallon , Francis Bach
NeurIPS 2019 - 33rd Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. pp.2937-2947
Conference papers hal-01945578v6
Image document

i-RevNet: Deep Invertible Networks

Jörn-Henrik Jacobsen , Arnold Smeulders , Edouard Oyallon
ICLR 2018 - International Conference on Learning Representations, Apr 2018, Vancouver, Canada
Conference papers hal-01712808v1
Image document

The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods

Louis Thiry , Michael Arbel , Eugene Belilovsky , Edouard Oyallon
International Conference on Learning Representation (ICLR 2021), 2021, Vienna (online), Austria
Conference papers hal-03114389v1
Image document

Scattering Networks for Hybrid Representation Learning

Edouard Oyallon , Sergey Zagoruyko , Gabriel Huang , Nikos Komodakis , Simon Lacoste-Julien et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, pp.11. ⟨10.1109/TPAMI.2018.2855738⟩
Journal articles hal-01837587v1

Decoupled Greedy Learning of CNNs

Eugene Belilovsky , Michael Eickenberg , Edouard Oyallon
International Conference on Machine Learning, Jul 2020, Vienna (virtual), Austria. pp.5368-5377
Conference papers hal-02945327v1
Image document

Greedy Layerwise Learning Can Scale to ImageNet

Eugene Belilovsky , Michael Eickenberg , Edouard Oyallon
ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, CA, United States
Conference papers hal-02119398v1
Image document

Nonlinear Acceleration of CNNs

Damien Scieur , Edouard Oyallon , Alexandre d'Aspremont , Francis Bach
ICLR Workshop track, Apr 2018, Vancouver, Canada
Conference papers hal-01805251v3
Image document

Why do tree-based models still outperform deep learning on typical tabular data?

Léo Grinsztajn , Edouard Oyallon , Gaël Varoquaux
NeurIPS 2022 Datasets and Benchmarks Track, Nov 2022, New Orleans, United States
Conference papers hal-03723551v2
Image document

Analyzing and introducing structures in deep convolutional neural networks

Edouard Oyallon
Computer Vision and Pattern Recognition [cs.CV]. Université Paris sciences et lettres, 2017. English. ⟨NNT : 2017PSLEE060⟩
Theses tel-03917151v1
Image document

Nonlinear Acceleration of Deep Neural Networks

Damien Scieur , Edouard Oyallon , Alexandre D 'Aspremont , Francis Bach
2018
Preprints, Working Papers, ... hal-01799269v1
Image document

Interferometric Graph Transform: a Deep Unsupervised Graph Representation

Edouard Oyallon
37th International Conference on Machine Learning (ICML 2020), Jul 2020, Online, Austria
Conference papers hal-02862516v1
Image document

Scaling the Scattering Transform: Deep Hybrid Networks

Edouard Oyallon , Eugene Belilovsky , Sergey Zagoruyko
International Conference on Computer Vision (ICCV), Oct 2017, Venice, Italy
Conference papers hal-01495734v2
Image document

Compressing the Input for CNNs with the First-Order Scattering Transform

Edouard Oyallon , Eugene Belilovsky , Sergey Zagoruyko , Michal Valko
ECCV 2018 - European Conference on Computer Vision, Sep 2018, Munich, Germany
Conference papers hal-01850921v1