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Neil Houlsby
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An image is worth 16x16 words: Transformers for image recognition at scale
A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ...
arXiv preprint arXiv:2010.11929, 2020
49852020
Parameter-efficient transfer learning for NLP
N Houlsby, A Giurgiu, S Jastrzebski, B Morrone, Q De Laroussilhe, ...
International Conference on Machine Learning, 2790-2799, 2019
5482019
Big transfer (bit): General visual representation learning
A Kolesnikov, L Beyer, X Zhai, J Puigcerver, J Yung, S Gelly, N Houlsby
European conference on computer vision, 491-507, 2020
4842020
Bayesian active learning for classification and preference learning
N Houlsby, F Huszár, Z Ghahramani, M Lengyel
arXiv preprint arXiv:1112.5745, 2011
4192011
Mlp-mixer: An all-mlp architecture for vision
IO Tolstikhin, N Houlsby, A Kolesnikov, L Beyer, X Zhai, T Unterthiner, ...
Advances in Neural Information Processing Systems 34, 24261-24272, 2021
3892021
Underspecification presents challenges for credibility in modern machine learning
A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
arXiv preprint arXiv:2011.03395, 2020
2742020
An image is worth 16x16 words: Transformers for image recognition at scale. arXiv 2020
A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ...
arXiv preprint arXiv:2010.11929, 2010
2532010
Scaling vision transformers
X Zhai, A Kolesnikov, N Houlsby, L Beyer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
230*2022
Self-supervised gans via auxiliary rotation loss
T Chen, X Zhai, M Ritter, M Lucic, N Houlsby
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2092019
Adaptive Bayesian quantum tomography
F Huszár, NMT Houlsby
Physical Review A 85 (5), 052120, 2012
1482012
Ask the right questions: Active question reformulation with reinforcement learning
C Buck, J Bulian, M Ciaramita, W Gajewski, A Gesmundo, N Houlsby, ...
arXiv preprint arXiv:1705.07830, 2017
1372017
Probabilistic matrix factorization with non-random missing data
JM Hernández-Lobato, N Houlsby, Z Ghahramani
International Conference on Machine Learning, 1512-1520, 2014
1312014
Collaborative gaussian processes for preference learning
N Houlsby, F Huszar, Z Ghahramani, J Hernández-lobato
Advances in neural information processing systems 25, 2012
1282012
Transfer learning with neural automl
C Wong, N Houlsby, Y Lu, A Gesmundo
Advances in neural information processing systems 31, 2018
972018
Experimental adaptive Bayesian tomography
KS Kravtsov, SS Straupe, IV Radchenko, NMT Houlsby, F Huszár, ...
Physical Review A 87 (6), 062122, 2013
872013
A large-scale study of representation learning with the visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
arXiv preprint arXiv:1910.04867, 2019
782019
On self modulation for generative adversarial networks
T Chen, M Lucic, N Houlsby, S Gelly
arXiv preprint arXiv:1810.01365, 2018
782018
Large scale learning of general visual representations for transfer
A Kolesnikov, L Beyer, X Zhai, J Puigcerver, J Yung, S Gelly, N Houlsby
arXiv preprint arXiv:1912.11370 2 (8), 2019
762019
Cold-start active learning with robust ordinal matrix factorization
N Houlsby, JM Hernández-Lobato, Z Ghahramani
International conference on machine learning, 766-774, 2014
612014
Cognitive tomography reveals complex, task-independent mental representations
NMT Houlsby, F Huszár, MM Ghassemi, G Orbán, DM Wolpert, M Lengyel
Current Biology 23 (21), 2169-2175, 2013
562013
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