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Josip Djolonga
Josip Djolonga
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Title
Cited by
Cited by
Year
On mutual information maximization for representation learning
M Tschannen, J Djolonga, PK Rubenstein, S Gelly, M Lucic
arXiv preprint arXiv:1907.13625, 2019
2422019
High-dimensional gaussian process bandits
J Djolonga, A Krause, V Cevher
Advances in neural information processing systems 26, 2013
1702013
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
732019
From map to marginals: Variational inference in bayesian submodular models
J Djolonga, A Krause
Advances in Neural Information Processing Systems 27, 2014
722014
Fast differentiable sorting and ranking
M Blondel, O Teboul, Q Berthet, J Djolonga
International Conference on Machine Learning, 950-959, 2020
642020
Differentiable learning of submodular models
J Djolonga, A Krause
Advances in Neural Information Processing Systems 30, 2017
642017
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
442021
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
382020
You only train once: Loss-conditional training of deep networks
A Dosovitskiy, J Djolonga
International conference on learning representations, 2019
322019
The visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
322019
Learning probabilistic submodular diversity models via noise contrastive estimation
S Tschiatschek, J Djolonga, A Krause
Artificial Intelligence and Statistics, 770-779, 2016
282016
Scalable variational inference in log-supermodular models
J Djolonga, A Krause
International Conference on Machine Learning, 1804-1813, 2015
282015
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
252019
Variational inference in mixed probabilistic submodular models
J Djolonga, S Tschiatschek, A Krause
Advances in Neural Information Processing Systems 29, 2016
232016
Higher-order inference for multi-class log-supermodular models
J Zhang, J Djolonga, A Krause
Proceedings of the IEEE International Conference on Computer Vision, 1859-1867, 2015
192015
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, 2021
182021
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
122021
Representation learning from videos in-the-wild: An object-centric approach
R Romijnders, A Mahendran, M Tschannen, J Djolonga, M Ritter, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
42021
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
42020
Provable variational inference for constrained log-submodular models
J Djolonga, S Jegelka, A Krause
Advances in Neural Information Processing Systems 31, 2018
32018
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Articles 1–20