Hugo Touvron

Orcid: 0000-0003-1678-392X

According to our database1, Hugo Touvron authored at least 25 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Code Llama: Open Foundation Models for Code.
CoRR, 2023

Llama 2: Open Foundation and Fine-Tuned Chat Models.
CoRR, 2023

LLaMA: Open and Efficient Foundation Language Models.
CoRR, 2023

Co-training 2L Submodels for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Architectures and Training for Visual Understanding. (Architectures et Apprentissage pour l'Interprétation d'Image).
PhD thesis, 2022

Co-training 2<sup>L</sup> Submodels for Visual Recognition.
CoRR, 2022

DeiT III: Revenge of the ViT.
Proceedings of the Computer Vision, 2022

Three Things Everyone Should Know About Vision Transformers.
Proceedings of the Computer Vision, 2022

2021
Augmenting Convolutional networks with attention-based aggregation.
CoRR, 2021

Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
CoRR, 2021

ResNet strikes back: An improved training procedure in timm.
CoRR, 2021

XCiT: Cross-Covariance Image Transformers.
CoRR, 2021

ResMLP: Feedforward networks for image classification with data-efficient training.
CoRR, 2021

XCiT: Cross-Covariance Image Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases.
Proceedings of the 38th International Conference on Machine Learning, 2021

Training data-efficient image transformers & distillation through attention.
Proceedings of the 38th International Conference on Machine Learning, 2021

Grafit: Learning fine-grained image representations with coarse labels.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Going deeper with Image Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Emerging Properties in Self-Supervised Vision Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Powers of layers for image-to-image translation.
CoRR, 2020

Fixing the train-test resolution discrepancy: FixEfficientNet.
CoRR, 2020

2019
Fixing the train-test resolution discrepancy.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019


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