Neil Houlsby
Neil Houlsby
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TitleCited byYear
Bayesian active learning for classification and preference learning
N Houlsby, F Huszár, Z Ghahramani, M Lengyel
arXiv preprint arXiv:1112.5745, 2011
1022011
Adaptive Bayesian quantum tomography
F Huszár, NMT Houlsby
Physical Review A 85 (5), 052120, 2012
872012
Collaborative Gaussian processes for preference learning
N Houlsby, F Huszar, Z Ghahramani, JM Hernández-Lobato
Advances in Neural Information Processing Systems, 2096-2104, 2012
772012
Experimental adaptive Bayesian tomography
KS Kravtsov, SS Straupe, IV Radchenko, NMT Houlsby, F Huszár, ...
Physical Review A 87 (6), 062122, 2013
632013
Probabilistic matrix factorization with non-random missing data
JM Hernández-Lobato, N Houlsby, Z Ghahramani
International Conference on Machine Learning, 1512-1520, 2014
512014
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
352017
Cold-start active learning with robust ordinal matrix factorization
N Houlsby, JM Hernández-Lobato, Z Ghahramani
International Conference on Machine Learning, 766-774, 2014
332014
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
262013
Statistical fitting of undrained strength data
NMT Houlsby, GT Houlsby
Géotechnique 63 (14), 1253, 2013
202013
Stochastic inference for scalable probabilistic modeling of binary matrices
JM Hernández-Lobato, N Houlsby, Z Ghahramani
International Conference on Machine Learning, 379-387, 2014
192014
A scalable gibbs sampler for probabilistic entity linking
N Houlsby, M Ciaramita
European Conference on Information Retrieval, 335-346, 2014
182014
Active learning for interactive visualization
T Iwata, N Houlsby, Z Ghahramani
Artificial Intelligence and Statistics, 342-350, 2013
132013
On self modulation for generative adversarial networks
T Chen, M Lucic, N Houlsby, S Gelly
arXiv preprint arXiv:1810.01365, 2018
112018
Adaptive Bayesian quantum tomograpy
F Huszįr, NMT Houlsby
Phys. Rev. A 85, 052120, 2012
92012
Transfer learning with neural AutoML
C Wong, N Houlsby, Y Lu, A Gesmundo
Advances in Neural Information Processing Systems, 8356-8365, 2018
62018
Scalable probabilistic entity-topic modeling
N Houlsby, M Ciaramita
arXiv preprint arXiv:1309.0337, 2013
52013
Transfer automatic machine learning
C Wong, N Houlsby, Y Lu, A Gesmundo
arXiv preprint arXiv:1803.02780, 2018
42018
A filtering approach to stochastic variational inference
N Houlsby, D Blei
Advances in Neural Information Processing Systems, 2114-2122, 2014
42014
Self-Supervised Generative Adversarial Networks
T Chen, X Zhai, M Ritter, M Lucic, N Houlsby
arXiv preprint arXiv:1811.11212, 2018
32018
Self-Supervised GAN to Counter Forgetting
T Chen, X Zhai, N Houlsby
arXiv preprint arXiv:1810.11598, 2018
22018
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