Neil Houlsby

19

Papers

270

Total Citations

Papers (19)

On Scaling Up a Multilingual Vision and Language Model

Frozen Feature Augmentation for Few-Shot Image Classification

Self-Supervised GANs via Auxiliary Rotation Loss

Self-Supervised Learning of Video-Induced Visual Invariances

On Robustness and Transferability of Convolutional Neural Networks

Scaling Vision Transformers

CLIPPO: Image-and-Language Understanding From Pixels Only

Big Transfer (BiT): General Visual Representation Learning

Simple Open-Vocabulary Object Detection with Vision Transformers

Transfer Learning with Neural AutoML

Scaling Vision with Sparse Mixture of Experts

Revisiting the Calibration of Modern Neural Networks

MLP-Mixer: An all-MLP Architecture for Vision

Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts

NeurIPS 2022arXiv

UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes

Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution

Image Captioners Are Scalable Vision Learners Too

Scaling Open-Vocabulary Object Detection

Parameter-Efficient Transfer Learning for NLP