Neil Houlsby - Concepedia

Author

Neil Houlsby

Also Known As

Houlsby, Neil, Kaufman, Raphael Lopez, McKinney, Scott Mayer, N. M. T. Houlsby, N.M.T. HOULSBY, N. M. T. Houlsby, Neil Houlsby, Neil M.T. Houlsby, Sylvain Gelly, Zhou, Denny

100

Publications

29.6K

Citations

H-Index

115

Concepts

All Affiliations

Google (United States)University of Cambridge University of California, Los Angeles

About

Neil Houlsby is an author at Google (United States) specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	31	41	28.1K
2	Language Studies	5	5	473
3	Health Sciences	2	2	239
4	Education	1	1	39
5	Management	1	1	489

Neil Houlsby

Publications

28.8K

Citations

H-Index

Page 1

	Year	Citations
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningImage RetrievalMultimodal Llm	2020	21.2K
MLP-Mixer: An all-MLP Architecture for Vision Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov, arXiv (Cornell University) Event CameraConvolutional Neural NetworkEngineeringMachine LearningImage Classification	2021	1.4K
Gemini: A Family of Highly Capable Multimodal Models Gemini Robotics Team, Rohan Anil, Sebastian Borgeaud, arXiv (Cornell University) Artificial IntelligenceNatural Language ProcessingNew FamilyLarge Ai ModelImage Analysis	2023	784
Scaling Vision Transformers Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Convolutional Neural NetworkEngineeringMachine LearningVision TransformersTransformer Language Models	2022	741
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, International Conference on Learning Representations Convolutional Neural NetworkEngineeringMachine LearningImage RetrievalMultimodal Llm	2021	556
Bayesian Active Learning for Classification and Preference Learning Neil Houlsby, Ferenc Huszár, Zoubin Ghahramani, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAlgorithmic LearningBayesian Active Learning	2011	489
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander D’Amour, Katherine Heller, Dan Moldovan, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningModern Ml PipelinesMachine Learning Tool	2020	430
Self-Supervised GANs via Auxiliary Rotation Loss Ting Chen, Xiaohua Zhai, Marvin Ritter, Artificial IntelligenceMachine VisionMachine LearningData ScienceConditional Gans	2019	332
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging Shekoofeh Azizi, Laura Culp, Jan Freyberg, Nature Biomedical Engineering EngineeringMachine LearningMedical ImagingData SciencePattern Recognition	2023	208
PaLI: A Jointly-Scaled Multilingual Language-Image Model Xi Chen, Xiao Wang, Soravit Changpinyo, arXiv (Cornell University) EngineeringMachine LearningMultilingualismJoint ScalingMultilingual Pretraining	2022	194

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