Neil Houlsby
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Atomic and Molecular Physics, and Optics
- Information Systems top 5%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Xiaohua ZhaiLucas BeyerAlexander KolesnikovFerenc HuszárZoubin GhahramaniJosé Miguel Hernández-LobatoMario LučićTing Chen
- Topics
- Domain Adaptation and Few-Shot Learning (9 papers)Advanced Neural Network Applications (6 papers)Machine Learning and Algorithms (5 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Neil Houlsby
25 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 729
- Computer Vision and Pattern Recognition 645
- Atomic and Molecular Physics, and Optics 126
- Information Systems 119
- Radiology, Nuclear Medicine and Imaging 73
Countries citing papers authored by Neil Houlsby
This map shows the geographic impact of Neil Houlsby's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Neil Houlsby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Houlsby more than expected).
Fields of papers citing papers by Neil Houlsby
This network shows the impact of papers produced by Neil Houlsby. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Neil Houlsby. The network helps show where Neil Houlsby may publish in the future.
Co-authorship network of co-authors of Neil Houlsby
This figure shows the co-authorship network connecting the top 25 collaborators of Neil Houlsby. A scholar is included among the top collaborators of Neil Houlsby based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neil Houlsby. Neil Houlsby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 17 | |
| 3 | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | 143 |
| 4 | A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches | 2 |
| 5 | Automatic Shortcut Removal for Self-Supervised Representation Learning | 2 |
| 6 | Large Scale Learning of General Visual Representations for Transfer. | 26 |
| 7 | The Visual Task Adaptation Benchmark | 22 |
| 8 | 182 | |
| 9 | On Self Modulation for Generative Adversarial Networks | 14 |
| 10 | Ask the Right Questions: Active Question Reformulation with Reinforcement Learning | 40 |
| 11 | Transfer Automatic Machine Learning. | 2 |
| 12 | Cold-start Active Learning with Robust Ordinal Matrix Factorization | 30 |
| 13 | Probabilistic Matrix Factorization with Non-random Missing Data | 75 |
| 14 | Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices | 15 |
| 15 | A Filtering Approach to Stochastic Variational Inference | 1 |
| 16 | 39 | |
| 17 | 55 | |
| 18 | 33 | |
| 19 | Collaborative Gaussian Processes for Preference Learning | 45 |
| 20 | 105 |
About Neil Houlsby
Neil Houlsby is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (9 papers), Advanced Neural Network Applications (6 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (645 citations), Artificial Intelligence (729 citations) and Signal Processing (72 citations). Neil Houlsby has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Xiaohua Zhai, Lucas Beyer, Alexander Kolesnikov, Ferenc Huszár, Zoubin Ghahramani, José Miguel Hernández-Lobato, Mario Lučić, Ting Chen, Marvin Ritter and Sylvain Gelly. Their work appears in journals such as Current Biology, Physical Review A and Géotechnique.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.