Gemma 3 Technical Report
Paper • 2503.19786 • Published • 55
Lucas Beyer
giffmana
AI & ML interests
None yet
Organizations
authored a
paper 12 months ago
authored a
paper about 1 year ago
authored 2
papers over 1 year ago
authored 16
papers about 2 years ago
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
Paper • 1910.04867 • Published
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper • 2010.11929 • Published • 15
Big Transfer (BiT): General Visual Representation Learning
Paper • 1912.11370 • Published • 1
FlexiViT: One Model for All Patch Sizes
Paper • 2212.08013 • Published • 1
MLP-Mixer: An all-MLP Architecture for Vision
Paper • 2105.01601 • Published
Knowledge distillation: A good teacher is patient and consistent
Paper • 2106.05237 • Published
Image Captioners Are Scalable Vision Learners Too
Paper • 2306.07915 • Published • 12
Scaling Vision Transformers to 22 Billion Parameters
Paper • 2302.05442 • Published • 2
Tuning computer vision models with task rewards
Paper • 2302.08242 • Published
Sigmoid Loss for Language Image Pre-Training
Paper • 2303.15343 • Published • 11
The Efficiency Misnomer
Paper • 2110.12894 • Published
Kubric: A scalable dataset generator
Paper • 2203.03570 • Published • 1
PaLI: A Jointly-Scaled Multilingual Language-Image Model
Paper • 2209.06794 • Published • 2
Revisiting Self-Supervised Visual Representation Learning
Paper • 1901.09005 • Published
PaLI-3 Vision Language Models: Smaller, Faster, Stronger
Paper • 2310.09199 • Published • 28
Better plain ViT baselines for ImageNet-1k
Paper • 2205.01580 • Published