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
Advances in Neural Information Processing Systems, 1025-1033, 2013
1342013
From map to marginals: Variational inference in bayesian submodular models
J Djolonga, A Krause
Advances in Neural Information Processing Systems, 244-252, 2014
622014
On mutual information maximization for representation learning
M Tschannen, J Djolonga, PK Rubenstein, S Gelly, M Lucic
arXiv preprint arXiv:1907.13625, 2019
522019
Scalable Variational Inference in Log-supermodular Models.
J Djolonga, A Krause
ICML, 1804-1813, 2015
282015
Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation.
S Tschiatschek, J Djolonga, A Krause
AISTATS, 770-779, 2016
242016
Differentiable learning of submodular models
J Djolonga, A Krause
Advances in Neural Information Processing Systems, 1013-1023, 2017
232017
Variational inference in mixed probabilistic submodular models
J Djolonga, S Tschiatschek, A Krause
Advances in Neural Information Processing Systems, 1759-1767, 2016
19*2016
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
The visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
arXiv preprint arXiv:1910.04867, 2019
152019
Practical and consistent estimation of f-divergences
P Rubenstein, O Bousquet, J Djolonga, C Riquelme, IO Tolstikhin
Advances in Neural Information Processing Systems, 4070-4080, 2019
82019
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
52020
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
52019
You Only Train Once: Loss-Conditional Training of Deep Networks
A Dosovitskiy, J Djolonga
International Conference on Learning Representations, 2019
42019
Fast Differentiable Sorting and Ranking
M Blondel, O Teboul, Q Berthet, J Djolonga
arXiv preprint arXiv:2002.08871, 2020
32020
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, 262-270, 2016
32016
Provable variational inference for constrained log-submodular models
J Djolonga, S Jegelka, A Krause
Advances in Neural Information Processing Systems, 2697-2707, 2018
22018
Evaluating Generative Models Using Divergence Frontiers
J Djolonga, M Lucic, M Cuturi, O Bachem, O Bousquet, S Gelly
arXiv preprint arXiv:1905.10768, 2019
12019
Learning implicit generative models using differentiable graph tests
J Djolonga, A Krause
arXiv preprint arXiv:1709.01006, 2017
12017
Variable clamping for optimization-based inference
J Zhao, J Djolonga, S Tschiatschek, A Krause
NIPS Workshop on Advances in Approximate Bayesian Inference, 2016
12016
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Articles 1–20