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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
114012020
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
9132019
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
8392021
Big transfer (bit): General visual representation learning
A Kolesnikov, L Beyer, X Zhai, J Puigcerver, J Yung, S Gelly, N Houlsby
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
6852020
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
5592010
Bayesian active learning for classification and preference learning
N Houlsby, F Huszár, Z Ghahramani, M Lengyel
arXiv preprint arXiv:1112.5745, 2011
5192011
Scaling vision transformers
X Zhai, A Kolesnikov, N Houlsby, L Beyer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
481*2022
Underspecification presents challenges for credibility in modern machine learning
A D’Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
Journal of Machine Learning Research, 2020
3952020
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
2552019
Adaptive Bayesian quantum tomography
F Huszár, NMT Houlsby
Physical Review A 85 (5), 052120, 2012
1632012
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
1552017
Probabilistic matrix factorization with non-random missing data
JM Hernández-Lobato, N Houlsby, Z Ghahramani
International conference on machine learning, 1512-1520, 2014
1542014
Collaborative gaussian processes for preference learning
N Houlsby, F Huszar, Z Ghahramani, J Hernández-lobato
Advances in neural information processing systems 25, 2012
1362012
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
1242019
Scaling vision with sparse mixture of experts
C Riquelme, J Puigcerver, B Mustafa, M Neumann, R Jenatton, ...
Advances in Neural Information Processing Systems 34, 8583-8595, 2021
1142021
Transfer learning with neural automl
C Wong, N Houlsby, Y Lu, A Gesmundo
Advances in neural information processing systems 31, 2018
1072018
Experimental adaptive Bayesian tomography
KS Kravtsov, SS Straupe, IV Radchenko, NMT Houlsby, F Huszár, ...
Physical Review A 87 (6), 062122, 2013
942013
On self modulation for generative adversarial networks
T Chen, M Lucic, N Houlsby, S Gelly
arXiv preprint arXiv:1810.01365, 2018
892018
Revisiting the calibration of modern neural networks
M Minderer, J Djolonga, R Romijnders, F Hubis, X Zhai, N Houlsby, ...
Advances in Neural Information Processing Systems 34, 15682-15694, 2021
852021
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
852019
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