Suivre
Amir Globerson
Titre
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
24642023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
9722024
Metric learning by collapsing classes
A Globerson, S Roweis
Advances in neural information processing systems 18, 2005
9142005
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
4642006
Fixing max-product: Convergent message passing algorithms for MAP LP-relaxations
A Globerson, T Jaakkola
Advances in neural information processing systems 20, 2007
4332007
Tightening LP relaxations for MAP using message passing
D Sontag, T Meltzer, A Globerson, TS Jaakkola, Y Weiss
arXiv preprint arXiv:1206.3288, 2012
3692012
Information bottleneck for Gaussian variables
G Chechik, A Globerson, N Tishby, Y Weiss
Advances in Neural Information Processing Systems 16, 2003
3612003
Euclidean embedding of co-occurrence data
A Globerson, G Chechik, F Pereira, N Tishby
Advances in neural information processing systems 17, 2004
3582004
Globally optimal gradient descent for a convnet with gaussian inputs
A Brutzkus, A Globerson
International conference on machine learning, 605-614, 2017
3352017
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
3012017
Learning Bayesian network structure using LP relaxations
T Jaakkola, D Sontag, A Globerson, M Meila
Proceedings of the thirteenth international conference on artificial …, 2010
2992010
Introduction to dual decomposition for inference
D Sontag, A Globerson, T Jaakkola
2522011
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
2242019
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
2162022
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
2112008
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
1852007
Dissecting recall of factual associations in auto-regressive language models
M Geva, J Bastings, K Filippova, A Globerson
arXiv preprint arXiv:2304.14767, 2023
1812023
Selective sharing for multilingual dependency parsing
T Naseem, R Barzilay, A Globerson
The Association for Computational Linguistics, 2012
1792012
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
1692021
Sufficient dimensionality reduction
A Globerson, N Tishby
Journal of Machine Learning Research 3 (Mar), 1307-1331, 2003
1522003
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