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Jean-Baptiste Alayrac
Jean-Baptiste Alayrac
DeepMind, London
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Flamingo: a visual language model for few-shot learning
JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
Advances in neural information processing systems 35, 23716-23736, 2022
23652022
Howto100m: Learning a text-video embedding by watching hundred million narrated video clips
A Miech, D Zhukov, JB Alayrac, M Tapaswi, I Laptev, J Sivic
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
11082019
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
9532023
End-to-end learning of visual representations from uncurated instructional videos
A Miech, JB Alayrac, L Smaira, I Laptev, J Sivic, A Zisserman
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
7322020
Perceiver io: A general architecture for structured inputs & outputs
A Jaegle, S Borgeaud, JB Alayrac, C Doersch, C Ionescu, D Ding, ...
arXiv preprint arXiv:2107.14795, 2021
5032021
Self-supervised multimodal versatile networks
JB Alayrac, A Recasens, R Schneider, R Arandjelović, J Ramapuram, ...
Advances in neural information processing systems 33, 25-37, 2020
3892020
Unsupervised learning from narrated instruction videos
JB Alayrac, P Bojanowski, N Agrawal, J Sivic, I Laptev, S Lacoste-Julien
CVPR 2016 - Proceedings of the IEEE Conference on Computer Vision and …, 2016
3552016
Are Labels Required for Improving Adversarial Robustness?
J Uesato, JB Alayrac, PS Huang, R Stanforth, A Fawzi, P Kohli
NeurIPS 2019, 2019
350*2019
Cross-task weakly supervised learning from instructional videos
D Zhukov, JB Alayrac, RG Cinbis, D Fouhey, I Laptev, J Sivic
CVPR 2019 - Proceedings of the IEEE Conference on Computer Vision and …, 2019
2372019
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
1672024
Efficient visual pretraining with contrastive detection
OJ Hénaff, S Koppula, JB Alayrac, A Van den Oord, O Vinyals, J Carreira
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
1552021
Thinking fast and slow: Efficient text-to-visual retrieval with transformers
A Miech, JB Alayrac, I Laptev, J Sivic, A Zisserman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1402021
Broaden your views for self-supervised video learning
A Recasens, P Luc, JB Alayrac, L Wang, F Strub, C Tallec, M Malinowski, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1292021
Decoupling the role of data, attention, and losses in multimodal transformers
LA Hendricks, J Mellor, R Schneider, JB Alayrac, A Nematzadeh
Transactions of the Association for Computational Linguistics 9, 570-585, 2021
1082021
Gemini: A family of highly capable multimodal models
R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805 1, 2023
1012023
Joint discovery of object states and manipulation actions
JB Alayrac, J Sivic, I Laptev, S Lacoste-Julien
ICCV 2017 - Proceedings of the IEEE International Conference on Computer Vision, 2017
962017
Minding the gaps for block Frank-Wolfe optimization of structured SVMs
A Osokin, JB Alayrac, I Lukasewitz, P Dokania, S Lacoste-Julien
ICML 2016 - Proceedings of the 33rd International Conference on Machine Learning, 2016
832016
Towards learning universal audio representations
L Wang, P Luc, Y Wu, A Recasens, L Smaira, A Brock, A Jaegle, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
662022
Machine Translation Decoding beyond Beam Search
R Leblond, JB Alayrac, L Sifre, M Pislar, JB Lespiau, I Antonoglou, ...
EMNLP, 2021, 2021
642021
General-purpose, long-context autoregressive modeling with Perceiver AR
C Hawthorne, A Jaegle, C Cangea, S Borgeaud, C Nash, M Malinowski, ...
International Conference on Machine Learning, 8535-8558, 2022
592022
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