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Supervised Transfer Learning at Scale for Medical Imaging


Jan 21, 2021
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


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Underspecification Presents Challenges for Credibility in Modern Machine Learning


Nov 06, 2020
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


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


Oct 22, 2020
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby

* Fine-tuning code and pre-trained models are available at https://github.com/google-research/vision_transformer 

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Deep Ensembles for Low-Data Transfer Learning


Oct 19, 2020
Basil Mustafa, Carlos Riquelme, Joan Puigcerver, André Susano Pinto, Daniel Keysers, Neil Houlsby


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Representation learning from videos in-the-wild: An object-centric approach


Oct 06, 2020
Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic


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Training general representations for remote sensing using in-domain knowledge


Sep 30, 2020
Maxim Neumann, André Susano Pinto, Xiaohua Zhai, Neil Houlsby

* Accepted at the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2020. arXiv admin note: substantial text overlap with arXiv:1911.06721 

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Scalable Transfer Learning with Expert Models


Sep 28, 2020
Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Cedric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby


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On Robustness and Transferability of Convolutional Neural Networks


Jul 16, 2020
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, Xiaohua Zhai, Mario Lucic


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Automatic Shortcut Removal for Self-Supervised Representation Learning


Feb 21, 2020
Matthias Minderer, Olivier Bachem, Neil Houlsby, Michael Tschannen


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Large Scale Learning of General Visual Representations for Transfer


Dec 24, 2019
Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby


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Self-Supervised Learning of Video-Induced Visual Invariances


Dec 05, 2019
Michael Tschannen, Josip Djolonga, Marvin Ritter, Aravindh Mahendran, Neil Houlsby, Sylvain Gelly, Mario Lucic


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In-domain representation learning for remote sensing


Nov 15, 2019
Maxim Neumann, Andre Susano Pinto, Xiaohua Zhai, Neil Houlsby


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The Visual Task Adaptation Benchmark


Oct 01, 2019
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


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Parameter-Efficient Transfer Learning for NLP


Feb 02, 2019
Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin de Laroussilhe, Andrea Gesmundo, Mona Attariyan, Sylvain Gelly


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Neural Architecture Search Over a Graph Search Space


Dec 27, 2018
Quentin de Laroussilhe, Stanisław Jastrzębski, Neil Houlsby, Andrea Gesmundo


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Self-Supervised Generative Adversarial Networks


Nov 27, 2018
Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby


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Self-Supervised GAN to Counter Forgetting


Oct 27, 2018
Ting Chen, Xiaohua Zhai, Neil Houlsby


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On Self Modulation for Generative Adversarial Networks


Oct 02, 2018
Ting Chen, Mario Lucic, Neil Houlsby, Sylvain Gelly


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Transfer Learning with Neural AutoML


Sep 27, 2018
Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo


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Ask the Right Questions: Active Question Reformulation with Reinforcement Learning


Mar 02, 2018
Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang

* Sixth International Conference on Learning Representations (ICLR), 2018 

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Analyzing Language Learned by an Active Question Answering Agent


Jan 23, 2018
Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang

* Emergent Communication Workshop, NIPS 2017 

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Scalable Probabilistic Entity-Topic Modeling


Sep 02, 2013
Neil Houlsby, Massimiliano Ciaramita


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Bayesian Active Learning for Classification and Preference Learning


Dec 24, 2011
Neil Houlsby, Ferenc Huszár, Zoubin Ghahramani, Máté Lengyel


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