Scattering Networks for Hybrid Representation Learning

Scattering Networks for Hybrid Representation Learning

17 September 2018

Edouard Oyallon

Sergey Zagoruyko

Simon Lacoste-Julien

Matthew Blaschko

Eugene Belilovsky

Papers citing "Scattering Networks for Hybrid Representation Learning"

11 / 11 papers shown

Title
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves Alessandro Lovo Amaury Lancelin Corentin Herbert Freddy Bouchet AI4CE 23 0 0 01 Oct 2024
MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation Vitaliy Kinakh M. Drozdova Slava Voloshynovskiy 40 1 0 21 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath A. P. Condurache 16 4 0 02 Mar 2023
Attention-Based Scattering Network for Satellite Imagery Jason Stock Chuck Anderson 21 0 0 21 Oct 2022
Self-Supervised Pretraining for Differentially Private Learning Arash Asadian Evan Weidner Lei Jiang PICV 27 3 0 14 Jun 2022
Efficient Hybrid Network: Inducting Scattering Features D. Minskiy M. Bober 17 3 0 29 Mar 2022
Improving Differentially Private SGD via Randomly Sparsified Gradients Junyi Zhu Matthew B. Blaschko 26 5 0 01 Dec 2021
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets Vitaliy Kinakh O. Taran S. Voloshynovskiy 33 12 0 31 Aug 2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler 30 16 0 30 Aug 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform Matej Ulicny V. Krylov Rozenn Dahyot 27 34 0 18 Jan 2020