Neil Houlsby
Tytuł
Cytowane przez
Cytowane przez
Rok
Bayesian active learning for classification and preference learning
N Houlsby, F Huszár, Z Ghahramani, M Lengyel
arXiv preprint arXiv:1112.5745, 2011
2332011
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
1162019
Adaptive Bayesian quantum tomography
F Huszár, NMT Houlsby
Physical Review A 85 (5), 052120, 2012
1152012
Collaborative Gaussian processes for preference learning
N Houlsby, F Huszar, Z Ghahramani, J Hernández-lobato
Advances in neural information processing systems 25, 2096-2104, 2012
1122012
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
982017
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
942019
Probabilistic matrix factorization with non-random missing data
JM Hernández-Lobato, N Houlsby, Z Ghahramani
International Conference on Machine Learning, 1512-1520, 2014
872014
Experimental adaptive Bayesian tomography
KS Kravtsov, SS Straupe, IV Radchenko, NMT Houlsby, F Huszár, ...
Physical Review A 87 (6), 062122, 2013
742013
Transfer learning with neural automl
C Wong, N Houlsby, Y Lu, A Gesmundo
arXiv preprint arXiv:1803.02780, 2018
522018
Cold-start active learning with robust ordinal matrix factorization
N Houlsby, JM Hernández-Lobato, Z Ghahramani
International Conference on Machine Learning, 766-774, 2014
522014
Big transfer (bit): General visual representation learning
A Kolesnikov, L Beyer, X Zhai, J Puigcerver, J Yung, S Gelly, N Houlsby
arXiv preprint arXiv:1912.11370 6 (2), 8, 2019
492019
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
422013
On self modulation for generative adversarial networks
T Chen, M Lucic, N Houlsby, S Gelly
arXiv preprint arXiv:1810.01365, 2018
392018
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, 2019
382019
Statistical fitting of undrained strength data
NMT Houlsby, GT Houlsby
Géotechnique 63 (14), 1253-1263, 2013
262013
Stochastic inference for scalable probabilistic modeling of binary matrices
JM Hernández-Lobato, N Houlsby, Z Ghahramani
International Conference on Machine Learning, 379-387, 2014
252014
A scalable gibbs sampler for probabilistic entity linking
N Houlsby, M Ciaramita
European Conference on Information Retrieval, 335-346, 2014
212014
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
202020
The visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
202019
Self-supervised learning of video-induced visual invariances
M Tschannen, J Djolonga, M Ritter, A Mahendran, N Houlsby, S Gelly, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
182020
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