Lucas Beyer
24 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(20)
Deep Learning
(15)
Learning Types Β· Machine Learning
(9)
Computer Vision
(8)
Application Areas
(8)
Architectures
(8)
Artificial Intelligence
(7)
Core AI
(7)
Learning Types Β· Deep Learning
(7)
Techniques
(7)
Core Methods
(6)
Generation
(4)
Optimization & Theory
(3)
Processing
(3)
Natural Language Processing
(2)
Keywords
image classification
(7)
vision transformer
(7)
transfer learning
(5)
contrastive learning
(5)
model scaling
(4)
vision-language model
(4)
image captioning
(4)
convolutional neural network
(3)
computer vision
(3)
few-shot learning
(2)
zero-shot transfer
(2)
self-supervised learning
(2)
visual question answering
(2)
representation learning
(2)
model efficiency
(2)
image retrieval
(1)
reinforcement learning
(1)
domain generalization
(1)
unsupervised learning
(1)
knowledge distillation
(1)
Papers
LocCa: Visual Pretraining with Location-aware Captioners
NeurIPS 2024
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
NeurIPS 2024
On Scaling Up a Multilingual Vision and Language Model
CVPR 2024
FlexiViT: One Model for All Patch Sizes
CVPR 2023
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
NeurIPS 2023
Image Captioners Are Scalable Vision Learners Too
NeurIPS 2023
PaLI: A Jointly-Scaled Multilingual Language-Image Model
ICLR 2023
Scaling Vision Transformers to 22 Billion Parameters
ICML 2023
Sigmoid Loss for Language Image Pre-Training
ICCV 2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
NeurIPS 2023
Tuning Computer Vision Models With Task Rewards
ICML 2023
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation
ECCV 2022
Knowledge Distillation: A Good Teacher Is Patient and Consistent
CVPR 2022
Kubric: A Scalable Dataset Generator
CVPR 2022
LiT: Zero-Shot Transfer With Locked-Image Text Tuning
CVPR 2022
Scaling Vision Transformers
CVPR 2022
The Efficiency Misnomer
ICLR 2022
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes
NeurIPS 2022
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
ICLR 2021
MLP-Mixer: An all-MLP Architecture for Vision
NeurIPS 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