Lucas Beyer
24 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
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(43)
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(22)
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Century Club
(24)
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Prolific Year
(8)
Conferences
CVPR (8)
NIPS (7)
ICLR (3)
ECCV (2)
ICCV (2)
ICML (2)
Top co-authors
Research topics
Keywords
image classification
(6)
contrastive learning
(5)
vision transformer
(5)
transfer learning
(4)
model scaling
(4)
vision-language model
(4)
image captioning
(3)
convolutional neural network
(3)
computer vision
(2)
few-shot learning
(2)
self-supervised learning
(2)
representation learning
(2)
zero-shot transfer
(2)
image retrieval
(1)
reinforcement learning
(1)
domain generalization
(1)
unsupervised learning
(1)
knowledge distillation
(1)
policy optimization
(1)
model robustness
(1)
Papers
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
NIPS 2024
LocCa: Visual Pretraining with Location-aware Captioners
NIPS 2024
On Scaling Up a Multilingual Vision and Language Model
CVPR 2024
Sigmoid Loss for Language Image Pre-Training
ICCV 2023
Tuning Computer Vision Models With Task Rewards
ICML 2023
Scaling Vision Transformers to 22 Billion Parameters
ICML 2023
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
NIPS 2023
Image Captioners Are Scalable Vision Learners Too
NIPS 2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
NIPS 2023
PaLI: A Jointly-Scaled Multilingual Language-Image Model
ICLR 2023
FlexiViT: One Model for All Patch Sizes
CVPR 2023
Scaling Vision Transformers
CVPR 2022
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes
NIPS 2022
LiT: Zero-Shot Transfer With Locked-Image Text Tuning
CVPR 2022
Knowledge Distillation: A Good Teacher Is Patient and Consistent
CVPR 2022
Kubric: A Scalable Dataset Generator
CVPR 2022
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation
ECCV 2022
The Efficiency Misnomer
ICLR 2022
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
ICLR 2021
MLP-Mixer: An all-MLP Architecture for Vision
NIPS 2021
On Robustness and Transferability of Convolutional Neural Networks
CVPR 2021
Big Transfer (BiT): General Visual Representation Learning
ECCV 2020
Revisiting Self-Supervised Visual Representation Learning
CVPR 2019
S4L: Self-Supervised Semi-Supervised Learning
ICCV 2019