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Amir Globerson
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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
16112023
Metric learning by collapsing classes
A Globerson, S Roweis
Advances in neural information processing systems 18, 2005
9122005
Nightmare at test time: robust learning by feature deletion
A Globerson, S Roweis
Proceedings of the 23rd international conference on Machine learning, 353-360, 2006
4612006
Fixing max-product: Convergent message passing algorithms for MAP LP-relaxations
A Globerson, T Jaakkola
Advances in neural information processing systems 20, 2007
4322007
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
4122024
Tightening LP relaxations for MAP using message passing
D Sontag, T Meltzer, A Globerson, TS Jaakkola, Y Weiss
arXiv preprint arXiv:1206.3288, 2012
3672012
Euclidean embedding of co-occurrence data
A Globerson, G Chechik, F Pereira, N Tishby
Advances in neural information processing systems 17, 2004
3532004
Information bottleneck for Gaussian variables
G Chechik, A Globerson, N Tishby, Y Weiss
Advances in Neural Information Processing Systems 16, 2003
3522003
Globally optimal gradient descent for a convnet with gaussian inputs
A Brutzkus, A Globerson
International conference on machine learning, 605-614, 2017
3302017
Learning Bayesian network structure using LP relaxations
T Jaakkola, D Sontag, A Globerson, M Meila
Proceedings of the thirteenth international conference on artificial …, 2010
2962010
SGD learns over-parameterized networks that provably generalize on linearly separable data
A Brutzkus, A Globerson, E Malach, S Shalev-Shwartz
arXiv preprint arXiv:1710.10174, 2017
2902017
Introduction to dual decomposition for inference
D Sontag, A Globerson, T Jaakkola
2502011
Cross-lingual alignment of contextual word embeddings, with applications to zero-shot dependency parsing
T Schuster, O Ram, R Barzilay, A Globerson
arXiv preprint arXiv:1902.09492, 2019
2202019
Exponentiated gradient algorithms for conditional random fields and max-margin markov networks
M Collins, A Globerson, T Koo, X Carreras Pérez, P Bartlett
Journal of Machine Learning Research 9, 1775-1822, 2008
2102008
Structured prediction models via the matrix-tree theorem
T Koo, A Globerson, X Carreras Pérez, M Collins
Joint Conference on Empirical Methods in Natural Language Processing and …, 2007
1802007
Selective sharing for multilingual dependency parsing
T Naseem, R Barzilay, A Globerson
The Association for Computational Linguistics, 2012
1772012
Visual prompting via image inpainting
A Bar, Y Gandelsman, T Darrell, A Globerson, A Efros
Advances in Neural Information Processing Systems 35, 25005-25017, 2022
1652022
Explaining in style: Training a gan to explain a classifier in stylespace
O Lang, Y Gandelsman, M Yarom, Y Wald, G Elidan, A Hassidim, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision, 693-702, 2021
1562021
Sufficient dimensionality reduction
A Globerson, N Tishby
Journal of Machine Learning Research 3 (Mar), 1307-1331, 2003
1522003
Mapping images to scene graphs with permutation-invariant structured prediction
R Herzig, M Raboh, G Chechik, J Berant, A Globerson
Advances in Neural Information Processing Systems 31, 2018
1452018
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