Daniel Keysers
9 papers · 2020–2024 · 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
Jump to papers ↓+3 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π₯ Mega-Team Β· Squad
π
Trend Setter
π₯
Unstoppable Β· Bronze
β
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Artificial Intelligence
(5)
Architectures
(5)
Computer Vision
(3)
Core AI
(3)
Core Methods
(3)
Learning Types Β· Machine Learning
(3)
Analysis
(2)
Application Areas
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Techniques
(2)
Natural Language Processing
(1)
Generation
(1)
Keywords
vision transformer
(3)
contrastive learning
(2)
representation learning
(2)
image classification
(2)
few-shot learning
(2)
transfer learning
(2)
model scaling
(2)
image captioning
(1)
multimodal learning
(1)
question answering
(1)
in-context learning
(1)
convolutional neural network
(1)
visual question answering
(1)
video understanding
(1)
compositional generalization
(1)
model adaptation
(1)
object localization
(1)
image recognition
(1)
object detection
(1)
zero-shot learning
(1)
Papers
On Scaling Up a Multilingual Vision and Language Model
CVPR 2024
Scaling Vision Transformers to 22 Billion Parameters
ICML 2023
Video OWL-ViT: Temporally-consistent Open-world Localization in Video
ICCV 2023
LiT: Zero-Shot Transfer With Locked-Image Text Tuning
CVPR 2022
MLP-Mixer: An all-MLP Architecture for Vision
NeurIPS 2021
Scalable Transfer Learning with Expert Models
ICLR 2021
Scaling Vision with Sparse Mixture of Experts
NeurIPS 2021
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
ICLR 2020
What Do Neural Networks Learn When Trained With Random Labels?
NeurIPS 2020