Neil Houlsby
Cited by
Cited by
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
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
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
Scaling vision transformers
X Zhai, A Kolesnikov, N Houlsby, L Beyer
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
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
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Bayesian active learning for classification and preference learning
N Houlsby, F Huszár, Z Ghahramani, M Lengyel
arXiv preprint arXiv:1112.5745, 2011
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 23 (226), 1-61, 2022
Pali: A jointly-scaled multilingual language-image model
X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ...
arXiv preprint arXiv:2209.06794, 2022
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
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
Scaling vision transformers to 22 billion parameters
M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ...
International Conference on Machine Learning, 7480-7512, 2023
Simple open-vocabulary object detection
M Minderer, A Gritsenko, A Stone, M Neumann, D Weissenborn, ...
European Conference on Computer Vision, 728-755, 2022
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
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
Ul2: Unifying language learning paradigms
Y Tay, M Dehghani, VQ Tran, X Garcia, J Wei, X Wang, HW Chung, ...
arXiv preprint arXiv:2205.05131, 2022
Probabilistic matrix factorization with non-random missing data
JM Hernández-Lobato, N Houlsby, Z Ghahramani
International conference on machine learning, 1512-1520, 2014
Adaptive Bayesian quantum tomography
F Huszár, NMT Houlsby
Physical Review A—Atomic, Molecular, and Optical Physics 85 (5), 052120, 2012
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
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
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Articles 1–20