Josip Djolonga
Josip Djolonga
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Title
Cited by
Cited by
Year
High-dimensional gaussian process bandits
J Djolonga, A Krause, V Cevher
Neural Information Processing Systems, 2013
1542013
On mutual information maximization for representation learning
M Tschannen, J Djolonga, PK Rubenstein, S Gelly, M Lucic
arXiv preprint arXiv:1907.13625, 2019
1532019
From map to marginals: Variational inference in bayesian submodular models
J Djolonga, A Krause
Advances in Neural Information Processing Systems, 244-252, 2014
822014
Differentiable learning of submodular models
J Djolonga, A Krause
Advances in Neural Information Processing Systems 30, 1013-1023, 2017
482017
Scalable variational inference in log-supermodular models
J Djolonga, A Krause
International Conference on Machine Learning, 1804-1813, 2015
332015
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
322019
Fast differentiable sorting and ranking
M Blondel, O Teboul, Q Berthet, J Djolonga
International Conference on Machine Learning, 950-959, 2020
302020
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
302020
Learning probabilistic submodular diversity models via noise contrastive estimation
S Tschiatschek, J Djolonga, A Krause
Artificial Intelligence and Statistics, 770-779, 2016
292016
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
282015
The visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
252019
Variational inference in mixed probabilistic submodular models
J Djolonga, S Tschiatschek, A Krause
Advances in Neural Information Processing Systems, 1759-1767, 2016
222016
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
212021
Practical and consistent estimation of f-divergences
P Rubenstein, O Bousquet, J Djolonga, C Riquelme, IO Tolstikhin
Advances in Neural Information Processing Systems 32, 4070-4080, 2019
182019
You only train once: Loss-conditional training of deep networks
A Dosovitskiy, J Djolonga
International Conference on Learning Representations, 2019
122019
Learning implicit generative models using differentiable graph tests
J Djolonga, A Krause
arXiv preprint arXiv:1709.01006, 2017
32017
Differentiable learning of submodular functions
J Djolonga, A Krause
NIPS, 2017
32017
Cooperative graphical models
J Djolonga, S Jegelka, S Tschiatschek, A Krause
Advances in Neural Information Processing Systems 29, 262-270, 2016
32016
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
22020
Provable Variational Inference for Constrained Log-Submodular Models.
J Djolonga, S Jegelka, A Krause
NeurIPS, 2702-2712, 2018
22018
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Articles 1–20