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Josip Djolonga
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Title
Cited by
Cited by
Year
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
6242023
On mutual information maximization for representation learning
M Tschannen, J Djolonga, PK Rubenstein, S Gelly, M Lucic
arXiv preprint arXiv:1907.13625, 2019
5082019
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
2852023
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
2732019
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
2632021
High-dimensional gaussian process bandits
J Djolonga, A Krause, V Cevher
Advances in neural information processing systems 26, 2013
2002013
Fast differentiable sorting and ranking
M Blondel, O Teboul, Q Berthet, J Djolonga
International Conference on Machine Learning, 950-959, 2020
1922020
On robustness and transferability of convolutional neural networks
J Djolonga, J Yung, M Tschannen, R Romijnders, L Beyer, A Kolesnikov, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1302021
Uncertainty baselines: Benchmarks for uncertainty & robustness in deep learning
Z Nado, N Band, M Collier, J Djolonga, MW Dusenberry, S Farquhar, ...
arXiv preprint arXiv:2106.04015, 2021
982021
Differentiable learning of submodular models
J Djolonga, A Krause
Advances in Neural Information Processing Systems 30, 2017
952017
Pali-x: On scaling up a multilingual vision and language model
X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ...
arXiv preprint arXiv:2305.18565, 2023
892023
You only train once: Loss-conditional training of deep networks
A Dosovitskiy, J Djolonga
International conference on learning representations, 2019
872019
From map to marginals: Variational inference in bayesian submodular models
J Djolonga, A Krause
Advances in Neural Information Processing Systems 27, 2014
842014
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
692020
The visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
662019
Practical and consistent estimation of f-divergences
P Rubenstein, O Bousquet, J Djolonga, C Riquelme, IO Tolstikhin
Advances in Neural Information Processing Systems 32, 2019
462019
Learning probabilistic submodular diversity models via noise contrastive estimation
S Tschiatschek, J Djolonga, A Krause
Artificial Intelligence and Statistics, 770-779, 2016
332016
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
302024
Scalable variational inference in log-supermodular models
J Djolonga, A Krause
International Conference on Machine Learning, 1804-1813, 2015
282015
Precision-recall curves using information divergence frontiers
J Djolonga, M Lucic, M Cuturi, O Bachem, O Bousquet, S Gelly
International Conference on Artificial Intelligence and Statistics, 2550-2559, 2020
232020
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