Hugo Touvron
11 papers · 2019–2023 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🤝 Dynamic Duo (10) 💎 Century Club · Bronze
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Prolific Year · Productive
Venues
Top co-authors
Research topics
Deep Learning
(8)
Machine Learning
(7)
Architectures
(7)
Computer Vision
(6)
Analysis
(4)
Application Areas
(4)
Core Methods
(3)
Techniques
(3)
Core AI
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(1)
Processing
(1)
Keywords
image classification
(7)
vision transformer
(6)
self-supervised learning
(3)
semantic segmentation
(3)
knowledge distillation
(3)
attention mechanism
(2)
representation learning
(2)
neural network
(2)
linear complexity
(1)
convolutional neural network
(1)
image resolution
(1)
inference speed
(1)
model efficiency
(1)
training time
(1)
stochastic depth
(1)
model depth
(1)
hybrid neural network
(1)
image transformer
(1)
fine-grained categorization
(1)
attention bia
(1)
Papers
Co-Training 2L Submodels for Visual Recognition
CVPR 2023
DeiT III: Revenge of the ViT
ECCV 2022
Three Things Everyone Should Know about Vision Transformers
ECCV 2022
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
ICML 2021
Emerging Properties in Self-Supervised Vision Transformers
ICCV 2021
Going Deeper With Image Transformers
ICCV 2021
Grafit: Learning Fine-Grained Image Representations With Coarse Labels
ICCV 2021
LeViT: A Vision Transformer in ConvNet's Clothing for Faster Inference
ICCV 2021
Training data-efficient image transformers & distillation through attention
ICML 2021
XCiT: Cross-Covariance Image Transformers
NeurIPS 2021
Fixing the train-test resolution discrepancy
NeurIPS 2019