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Senior Staff Research Scientist at Google Deepmind.

Leads a Computer Vision group located in Zürich and Amsterdam.

About

I am a Senior Staff Research Scientist and manager in the Google Deepmind (previously, Google Brain), in Zürich. I work in machine learning and artificial intelligence, with a focus on vision-language models (VLMs), scalable pre-training, sparsity, modularity, and task adaptation.

Prior to Google, I received my PhD from the Cambridge Computational and Biological Learning lab, supervised by Prof. Zoubin Ghahramani and Prof. Máté Lengyel. My areas of study were Bayesian ML, active learning, and cognitive science.

Selected Publications

All Publications

1. Frozen Feature Augmentation for Few-Shot Image Classification

Authors: Andreas Bär, Neil Houlsby, Mostafa Dehghani, Manoj Kumar

First appeared: 2024-03-15

Venue: Computer Vision and Pattern Recognition (CVPR), 2024

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2. Gemini: A Family of Highly Capable Multimodal Models

Authors: Gemini Team Google

First appeared: 2023-12-19

Venue: arXiv, 2023

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3. Scaling Laws for Sparsely-Connected Foundation Models

Authors: Elias Frantar, Carlos Riquelme, Neil Houlsby, Dan Alistarh, Utku Evci

First appeared: 2023-09-15

Venue: International Conference on Learning Representations (ICLR), 2024 [spotlight]

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4. From Sparse to Soft Mixtures of Experts

Authors: Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Neil Houlsby

First appeared: 2023-08-23

Venue: International Conference on Learning Representations (ICLR), 2024 [spotlight]

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6. Scaling Open-Vocabulary Object Detection

Authors: Scaling Open-Vocabulary Object Detection

First appeared: 2023-06-16

Venue: Neural Information Processing Systems (NeurIPS), 2022 [spotlight]

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7. Image Captioners Are Scalable Vision Learners Too

Authors: Michael Tschannen, Manoj Kumar, Andreas Steiner, Xiaohua Zhai, Neil Houlsby, Lucas Beyer

First appeared: 2023-06-13

Venue: Neural Information Processing Systems (NeurIPS), 2023 [oral]

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8. PaLI-X: On Scaling up a Multilingual Vision and Language Model

Authors: Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, AJ Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

First appeared: 2023-05-29

Venue: Computer Vision and Pattern Recognition (CVPR), 2024

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9. Scaling Vision Transformers to 22 Billion Parameters

Authors: Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey Gritsenko, Vighnesh Birodkar, Cristina Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetić, Dustin Tran, Thomas Kipf, Mario Lučić, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby

First appeared: 2023-02-10

Venue: International Conference on Machine Learning (ICML), 2023 [oral]

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10. Dual PatchNorm

Authors: Manoj Kumar, Mostafa Dehghani, Neil Houlsby

First appeared: 2023-02-02

Venue: Transactions on Machine Learning Research (TMLR)

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11. Adaptive Computation with Elastic Input Sequence

Authors: Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You

First appeared: 2023-01-30

Venue: International Conference on Machine Learning (ICML), 2023

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12. Massively Scaling Heteroscedastic Classifiers

Authors: Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou

First appeared: 2023-01-30

Venue: International Conference on Learning Representations (ICLR), 2023

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13. CLIPPO: Image-and-Language Understanding from Pixels Only

Authors: Michael Tschannen, Basil Mustafa, Neil Houlsby

First appeared: 2022-12-15

Venue: Computer Vision and Pattern Recognition (CVPR), 2023

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14. Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints

Authors: Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, Carlos Riquelme Ruiz, Basil Mustafa, Joshua Ainslie, Yi Tay, Mostafa Dehghani, Neil Houlsby

First appeared: 2022-12-09

Venue: International Conference on Learning Representations (ICLR), 2023

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15. Location-Aware Self-Supervised Transformers for Semantic Segmentation

Authors: Mathilde Caron, Neil Houlsby, Cordelia Schmid

First appeared: 2022-12-05

Venue: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 [oral]

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16. Transcending Scaling Laws with 0.1% Extra Compute

Authors: Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani

First appeared: 2022-10-20

Venue: Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023

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17. PaLI: A Jointly-Scaled Multilingual Language-Image Model

Authors: Xi Chen, Xiao Wang, Soravit Changpinyo, AJ Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

First appeared: 2022-09-14

Venue: International Conference on Learning Representations (ICLR), 2023 [notable-top-5%]

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

Authors: Basil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, Neil Houlsby

First appeared: 2022-06-06

Venue: Neural Information Processing Systems (NeurIPS), 2022

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

Authors: Alexander Kolesnikov, André Susano Pinto, Lucas Beyer, Xiaohua Zhai, Jeremiah Harmsen, Neil Houlsby

First appeared: 2022-05-20

Venue: Neural Information Processing Systems (NeurIPS), 2022

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20. Robust and Efficient Medical Imaging with Self-Supervision

Authors: Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zach Beaver, Fiona Ryan, Justin Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Greg S. Corrado, Dale R. Webster, David Fleet, Geoffrey Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan

First appeared: 2022-05-19

Venue: Nature Biomedical Engineering

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21. Simple Open-Vocabulary Object Detection with Vision Transformers

Authors: Matthias Minderer, Alexey Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby

First appeared: 2022-05-12

Venue: European Conference on Computer Vision (ECCV), 2020

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22. Unifying Language Learning Paradigms

Authors: Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Neil Houlsby, Donald Metzler

First appeared: 2022-05-10

Venue: International Conference on Learning Representations (ICLR), 2023

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23. Do better ImageNet classifiers assess perceptual similarity better?

Authors: Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin Cubuk

First appeared: 2022-03-09

Venue: Transactions on Machine Learning Research (TMLR)

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24. Learning to Merge Tokens in Vision Transformers

Authors: Cedric Renggli, André Susano Pinto, Neil Houlsby, Basil Mustafa, Joan Puigcerver, Carlos Riquelme

First appeared: 2022-02-24

Venue: arXiv

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25. Sparse MoEs meet Efficient Ensembles

Authors: James Urquhart Allingham, Florian Wenzel, Zelda E Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel, Vincent Fortuin, Balaji Lakshminarayanan, Jasper Snoek, Dustin Tran, Carlos Riquelme Ruiz, Rodolphe Jenatton

First appeared: 2021-10-07

Venue: Transactions on Machine Learning Research (TMLR)

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26. The Benchmark Lottery

Authors: Mostafa Dehghani, Yi Tay, Alexey A. Gritsenko, Zhe Zhao, Neil Houlsby, Fernando Diaz, Donald Metzler, Oriol Vinyals

First appeared: 2021-07-14

Venue: arXiv, 2021

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27. Revisiting the Calibration of Modern Neural Networks

Authors: Matthias Minderer, Josip Djolonga, Rob Romijnders, Frances Hubis, Xiaohua Zhai, Neil Houlsby, Dustin Tran, Mario Lucic

First appeared: 2021-06-15

Venue: Neural Information Processing Systems (NeurIPS), 2021

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28. Scaling Vision with Sparse Mixture of Experts

Authors: Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby

First appeared: 2021-06-10

Venue: Neural Information Processing Systems (NeurIPS), 2021

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29. Scaling Vision Transformers

Authors: Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, Lucas Beyer

First appeared: 2021-06-08

Venue: Computer Vision and Pattern Recognition (CVPR), 2022

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30. SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size

Authors: Jessica Yung, Rob Romijnders, Alexander Kolesnikov, Lucas Beyer, Josip Djolonga, Neil Houlsby, Sylvain Gelly, Mario Lucic, Xiaohua Zhai

First appeared: 2021-05-09

Venue: International Conference on Learning Represenations RobustML Workshop, 2021

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31. MLP-Mixer: An all-MLP Architecture for Vision

Authors: Ilya Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy

First appeared: 2021-05-04

Venue: Neural Information Processing Systems (NeurIPS)

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32. Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark

Authors: Vincent Dumoulin, Neil Houlsby, Utku Evci, Xiaohua Zhai, Ross Goroshin, Sylvain Gelly, Hugo Larochelle

First appeared: 2021-04-06

Venue: Neural Information Processing Systems Datasets and Benchmarks Track, 2021

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33. Supervised Transfer Learning at Scale for Medical Imaging

Authors: Basil Mustafa, Aaron Loh, Jan Freyberg, Patricia MacWilliams, Megan Wilson, Scott Mayer McKinney, Marcin Sieniek, Jim Winkens, Yuan Liu, Peggy Bui, Shruthi Prabhakara, Umesh Telang, Alan Karthikesalingam, Neil Houlsby, Vivek Natarajan

First appeared: 2021-01-14

Venue: arXiv, 2021

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34. Underspecification Presents Challenges for Credibility in Modern Machine Learning

Authors: Alexander D'Amour, Katherine Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yian Ma, Cory McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley

First appeared: 2020-11-06

Venue: Journal of Machine Learning Research (JMLR)

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35. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Authors: Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby

First appeared: 2020-10-22

Venue: International Conference on Learning Representations (ICLR), 2021

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36. Deep Ensembles for Low-Data Transfer Learning

Authors: Basil Mustafa, Carlos Riquelme, Joan Puigcerver, André Susano Pinto, Daniel Keysers, Neil Houlsby

First appeared: 2020-10-14

Venue: arXiv, 2020

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37. Representation Learning From Videos In-the-Wild: An Object-Centric Approach

Authors: Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic

First appeared: 2020-10-06

Venue: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021

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38. Training General Representations for Remote Sensing Using In-Domain Knowledge

Authors: Maxim Neumann, Andre Susano Pinto, Xiaohua Zhai, Neil Houlsby

First appeared: 2020-09-30

Venue: IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020

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39. Scalable Transfer Learning with Expert Models

Authors: Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Cedric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby

First appeared: 2020-09-28

Venue: International Conference on Learning Representations (ICLR), 2021

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40. On Robustness and Transferability of Convolutional Neural Networks

Authors: Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic

First appeared: 2020-07-16

Venue: Computer Vision and Pattern Recognition (CVPR), 2021

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41. Automatic Shortcut Removal for Self-Supervised Representation Learning

Authors: Matthias Minderer, Olivier Bachem, Neil Houlsby, Michael Tschannen

First appeared: 2020-02-20

Venue: International Conference on Machine Learning (ICML), 2020

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42. Big Transfer (BiT): General Visual Representation Learning

Authors: Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby

First appeared: 2019-12-24

Venue: European Conference on Computer Vision (ECCV), 2020

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43. Self-Supervised Learning of Video-Induced Visual Invariances

Authors: Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Xiaohua Zhai, Neil Houlsby, Sylvain Gelly, Mario Lucic

First appeared: 2019-12-05

Venue: Computer Vision and Pattern Recognition (CVPR), 2020

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44. A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Authors: Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, Andre Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby

First appeared: 2019-10-01

Venue: arXiv, 2019

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45. Parameter-Efficient Transfer Learning for NLP

Authors: Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly

First appeared: 2019-02-02

Venue: International Conference on Machine Learning (ICML), 2019

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46. Neural Architecture Search Over a Graph Search Space

Authors: Stanisław Jastrzębski, Quentin de Laroussilhe, Mingxing Tan, Xiao Ma, Neil Houlsby, Andrea Gesmundo

First appeared: 2018-12-27

Venue: arXiv, 2018

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47. Self-Supervised GANs via Auxiliary Rotation Loss

Authors: Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby

First appeared: 2018-11-27

Venue: Computer Vision and Pattern Recognition (CVPR), 2019

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48. On Self Modulation for Generative Adversarial Networks

Authors: Ting Chen, Mario Lucic, Neil Houlsby, Sylvain Gelly

First appeared: 2018-10-02

Venue: International Conference on Learning Representations (ICLR), 2019

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49. Transfer Learning with Neural AutoML

Authors: Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo

First appeared: 2018-03-07

Venue: Neural Information Processing Systems (NeurIPS), 2018

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50. Ask the Right Questions: Active Question Reformulation with Reinforcement Learning

Authors: Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang

First appeared: 2017-05-22

Venue: International Conference on Learning Representations (ICLR), 2018 [Oral]

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51. A Filtering Approach to Stochastic Variational Inference

Authors: Neil Houlsby, David Blei

First appeared: 2014-12-08

Venue: Neural Information Processing Systems (NeurIPS), 2014

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52. Efficient Bayesian Active Learning and Matrix Modelling

Authors: Neil Houlsby

First appeared: 2014-11-11

Venue: Doctor of Philosophy (PhD), University of Cambridge

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53. Cold-start Active Learning with Robust Ordinal Matrix Factorization

Authors: Cold-start Active Learning with Robust Ordinal Matrix Factorization

First appeared: 2014-06-21

Venue: International Conference on Machine Learning (ICML), 2014

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54. Probabilistic Matrix Factorization with Non-random Missing Data

Authors: José Miguel Hernández-Lobato, Neil Houlsby, Zoubin Ghahramani

First appeared: 2014-06-21

Venue: International Conference on Machine Learning (ICML)

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55. Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices

Authors: José Miguel Hernández-Lobato, Neil Houlsby, Zoubin Ghahramani

First appeared: 2014-06-21

Venue: International Conference on Machine Learning (ICML), 2021

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56. Statistical Fitting of Undrained Strength Data

Authors: Neil Houlsby, Guy Houlsby

First appeared: 2013-11-01

Venue: Géotechnique

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57. Cognitive Tomography Reveals Complex Task-Independent Mental Representations

Authors: Neil Houlsby, Ferenc Huszár, Mohammad Ghassemi, Gergő Orbán, Daniel Wolpert, Máté Lengyel

First appeared: 2013-10-24

Venue: Current Biology

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58. A Scalable Gibbs Sampler for Probabilistic Entity Linking

Authors: Neil Houlsby, Massimiliano Ciaramita

First appeared: 2013-09-02

Venue: European Conference on Information Retrieval (ECIR), 2014

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59. Active learning for Interactive Visualization

Authors: Tomoharu Iwata, Neil Houlsby, Zoubin Ghahramani

First appeared: 2013-05-29

Venue: International Conference on AI and Statistics (AISTATS), 2013

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60. Experimental Adaptive Bayesian Tomography

Authors: Konstantin Kravtsov, Stanislav Straupe, Igor Radchenko, Gleb Struchalin, Neil Houlsby, Sergey Kulik

First appeared: 2013-03-07

Venue: Phyiscal Review A

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61. Collaborative Gaussian Processes for Preference Learning

Authors: Neil Houlsby, Ferenc Huszár, Jose M. Hernández-lobato, Zoubin Ghahramani

First appeared: 2012-12-03

Venue: Neural Information Processing Systems (NeurIPS), 2012

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62. Adaptive Bayesian Quantum Tomography

Authors: Ferenc Huszár, Neil Houlsby

First appeared: 2012-07-05

Venue: Physical Review A

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63. Bayesian Active Learning for Classification and Preference Learning

Authors: Neil Houlsby, Ferenc Huszár, Zoubin Ghahramani, Máté Lengyel

First appeared: 2011-12-24

Venue: arXiv, 2011

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