Xiaohua Zhai
31 papers · 2019–2024 · 7 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.
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The Questioner
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Research topics
Machine Learning
(24)
Deep Learning
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Learning Types Β· Machine Learning
(11)
Application Areas
(9)
Architectures
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Learning Types Β· Deep Learning
(9)
Techniques
(8)
Artificial Intelligence
(7)
Computer Vision
(7)
Core AI
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Core Methods
(6)
Optimization & Theory
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Models
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Generation
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Natural Language Processing
(2)
Keywords
image classification
(8)
vision transformer
(7)
contrastive learning
(5)
transfer learning
(5)
vision-language model
(4)
image captioning
(4)
self-supervised learning
(4)
model scaling
(4)
generative adversarial network
(3)
convolutional neural network
(3)
representation learning
(3)
computer vision
(3)
domain generalization
(2)
unsupervised learning
(2)
zero-shot transfer
(2)
few-shot learning
(2)
visual question answering
(2)
distribution shift
(2)
multimodal learning
(2)
semi-supervised learning
(2)
Papers
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
ICLR 2024
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
SILC: Improving Vision Language Pretraining with Self-Distillation
ECCV 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
LiT: Zero-Shot Transfer With Locked-Image Text Tuning
CVPR 2022
Revisiting Neural Scaling Laws in Language and Vision
NeurIPS 2022
Scaling Vision Transformers
CVPR 2022
Simple Open-Vocabulary Object Detection with Vision Transformers
ECCV 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 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
Revisiting the Calibration of Modern Neural Networks
NeurIPS 2021
Big Transfer (BiT): General Visual Representation Learning
ECCV 2020
A Large-Scale Study on Regularization and Normalization in GANs
ICML 2019
High-Fidelity Image Generation With Fewer Labels
ICML 2019
Revisiting Self-Supervised Visual Representation Learning
CVPR 2019
S4L: Self-Supervised Semi-Supervised Learning
ICCV 2019
Self-Supervised GANs via Auxiliary Rotation Loss
CVPR 2019