Neil Houlsby - AI Profile

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Google Brain

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I am a Senior Research Scientist in the Google Brain team. I have broad in interests in machine learning and artificial intelligence, with a particular focusses on scalable methods, vision, language, and generalization.

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Scaling Vision Transformers

Xiaohua Zhai,Alexander Kolesnikov,Neil Houlsby,Lucas Beyer

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Supervised Transfer Learning at Scale for Medical Imaging

Basil Mustafa, Aaron Loh, Jan Freyberg, Patricia MacWilliams, Alan Karthikesalingam,Neil Houlsby, Vivek Natarajan

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

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

ICLR, (2021)

Cited by107EIBibtex

Scalable Transfer Learning with Expert Models

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

ICLR, (2021)

EIBibtex

On Robustness and Transferability of Convolutional Neural Networks

Josip Djolonga,Jessica Yung,Michael Tschannen,Rob Romijnders,Lucas Beyer,Alexander Kolesnikov,Joan Puigcerver,Matthias Minderer,Alexander D'Amour,Dan Moldovan,Sylvan Gelly,Neil Houlsby

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (2021)

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Underspecification Presents Challenges for Credibility in Modern Machine Learning

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

Cited by27Bibtex

Deep Ensembles for Low-Data Transfer Learning

Basil Mustafa, Carlos Riquelme, Joan Puigcerver, andAndré Susano Pinto,Daniel Keysers,Neil Houlsby

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Large Scale Learning of General Visual Representations for Transfer

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

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Self-Supervised Learning of Video-Induced Visual Invariances

Tschannen Michael,Djolonga Josip,Ritter Marvin,Mahendran Aravindh,Houlsby Neil,Gelly Sylvain,Lucic Mario

CVPR, pp.13803-13812, (2019)

Cited by8EIBibtex

In-domain representation learning for remote sensing

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

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The Visual Task Adaptation Benchmark

Zhai Xiaohua, Puigcerver Joan, Kolesnikov Alexander, Ruyssen Pierre, Riquelme Carlos,Lucic Mario,Djolonga Josip, Pinto Andre Susano, Neumann Maxim, Dosovitskiy Alexey,Beyer Lucas, Bachem Olivier

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Parameter-Efficient Transfer Learning for NLP