François Fleuret on X: "TL;DR: we propose an MLP-Mixer whose parameters are modulated by an MLP. It avoids the O(T^2), captures long-range dependencies attention-style, and is easier to meta-optimize! With @_florianmai, @ArnaudPannatier, @
![Sensors | Free Full-Text | MLP-mmWP: High-Precision Millimeter Wave Positioning Based on MLP-Mixer Neural Networks Sensors | Free Full-Text | MLP-mmWP: High-Precision Millimeter Wave Positioning Based on MLP-Mixer Neural Networks](https://pub.mdpi-res.com/sensors/sensors-23-03864/article_deploy/html/images/sensors-23-03864-g001.png?1681122547)
Sensors | Free Full-Text | MLP-mmWP: High-Precision Millimeter Wave Positioning Based on MLP-Mixer Neural Networks
![MLP-Mixer : le modèle de Google Brain qui exploite les perceptrons multicouches pour la classification d'images MLP-Mixer : le modèle de Google Brain qui exploite les perceptrons multicouches pour la classification d'images](https://www.actuia.com/wp-content/uploads/2021/08/perceptron-multicouche.jpg)
MLP-Mixer : le modèle de Google Brain qui exploite les perceptrons multicouches pour la classification d'images
![MLP-Mixer: An all-MLP Architecture for Vision — Paper Summary | by Gowthami Somepalli | ML Summaries | Medium MLP-Mixer: An all-MLP Architecture for Vision — Paper Summary | by Gowthami Somepalli | ML Summaries | Medium](https://miro.medium.com/v2/resize:fit:1200/1*OSFjv1O4k-ACArsY-vIq-w.png)
MLP-Mixer: An all-MLP Architecture for Vision — Paper Summary | by Gowthami Somepalli | ML Summaries | Medium
![MLP-Mixer : le modèle de Google Brain qui exploite les perceptrons multicouches pour la classification d'images MLP-Mixer : le modèle de Google Brain qui exploite les perceptrons multicouches pour la classification d'images](https://www.actuia.com/wp-content/uploads/2021/08/MLP-Mixer.jpeg)
MLP-Mixer : le modèle de Google Brain qui exploite les perceptrons multicouches pour la classification d'images
![Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Tom Unterthiner, Jessica Yung, Andreas P Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy · MLP-Mixer: An all-MLP Architecture for Vision · Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Tom Unterthiner, Jessica Yung, Andreas P Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy · MLP-Mixer: An all-MLP Architecture for Vision ·](https://model-attachments.slideslive.com/library/presentations/38967709/thumbnail/mlpmixer-an-allmlp-architecture-for-vision_7bTS4B_medium.jpg)
Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Tom Unterthiner, Jessica Yung, Andreas P Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy · MLP-Mixer: An all-MLP Architecture for Vision ·
![Hidden features of MLP-Mixer [41]. Hidden features are reshaped back to... | Download Scientific Diagram Hidden features of MLP-Mixer [41]. Hidden features are reshaped back to... | Download Scientific Diagram](https://www.researchgate.net/publication/361950223/figure/fig3/AS:1177248564547585@1657689338634/Hidden-features-of-MLP-Mixer-41-Hidden-features-are-reshaped-back-to-2D-dimension_Q320.jpg)
Hidden features of MLP-Mixer [41]. Hidden features are reshaped back to... | Download Scientific Diagram
![AK on X: "S^2-MLP: Spatial-Shift MLP Architecture for Vision pdf: https://t.co/AY5B6vSLWF abs: https://t.co/1Ejc0wUSkX attains higher recognition accuracy than MLP-Mixer when training on ImageNet-1K dataset https://t.co/g8anWoHmyp" / X AK on X: "S^2-MLP: Spatial-Shift MLP Architecture for Vision pdf: https://t.co/AY5B6vSLWF abs: https://t.co/1Ejc0wUSkX attains higher recognition accuracy than MLP-Mixer when training on ImageNet-1K dataset https://t.co/g8anWoHmyp" / X](https://pbs.twimg.com/media/E34oymiXwAAb1KW.jpg:large)