research
∙
04/14/2022
DeiT III: Revenge of the ViT
A Vision Transformer (ViT) is a simple neural architecture amenable to s...
share
research
∙
05/07/2021
ResMLP: Feedforward networks for image classification with data-efficient training
We present ResMLP, an architecture built entirely upon multi-layer perce...
research
∙
03/31/2021
Going deeper with Image Transformers
Transformers have been recently adapted for large scale image classifica...
research
∙
12/23/2020
Training data-efficient image transformers distillation through attention
Recently, neural networks purely based on attention were shown to addres...
research
∙
03/18/2020
Fixing the train-test resolution discrepancy: FixEfficientNet
This note complements the paper "Fixing the train-test resolution discre...
research
∙
07/12/2019
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
In this paper, we address the problem of reducing the memory footprint o...
research
∙
07/02/2019
