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Carlos Riquelme
Carlos Riquelme
Microsoft AI
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Pali: A jointly-scaled multilingual language-image model
X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ...
arXiv preprint arXiv:2209.06794, 2022
5872022
Dynamic Pricing in Ridesharing Platforms
S Banerjee, R Johari, C Riquelme
ACM SIGecom Exchanges 15 (1), 65-70, 2016
557*2016
Scaling vision with sparse mixture of experts
C Riquelme, J Puigcerver, B Mustafa, M Neumann, R Jenatton, ...
Advances in Neural Information Processing Systems 34, 8583-8595, 2021
4992021
Scaling vision transformers to 22 billion parameters
M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ...
International Conference on Machine Learning, 7480-7512, 2023
4452023
Google research football: A novel reinforcement learning environment
K Kurach, A Raichuk, P Stańczyk, M Zając, O Bachem, L Espeholt, ...
Proceedings of the AAAI conference on artificial intelligence 34 (04), 4501-4510, 2020
4022020
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
C Riquelme, G Tucker, J Snoek
Sixth International Conference on Learning Representations, ICLR 2018., 2018
3962018
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
3472019
Multimodal contrastive learning with limoe: the language-image mixture of experts
B Mustafa, C Riquelme, J Puigcerver, R Jenatton, N Houlsby
Advances in Neural Information Processing Systems 35, 9564-9576, 2022
1492022
From sparse to soft mixtures of experts
J Puigcerver, C Riquelme, B Mustafa, N Houlsby
arXiv preprint arXiv:2308.00951, 2023
872023
The visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
772019
Human Interaction with Recommendation Systems
S Schmit, C Riquelme
The 21st International Conference on Artificial Intelligence and Statistics …, 2018
662018
Scalable transfer learning with expert models
J Puigcerver, C Riquelme, B Mustafa, C Renggli, AS Pinto, S Gelly, ...
arXiv preprint arXiv:2009.13239, 2020
642020
Learning to merge tokens in vision transformers
C Renggli, AS Pinto, N Houlsby, B Mustafa, J Puigcerver, C Riquelme
arXiv preprint arXiv:2202.12015, 2022
572022
Deep bayesian bandits showdown
C Riquelme, G Tucker, J Snoek
International conference on learning representations 9, 2018
562018
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
492019
Stable lm 2 1.6 b technical report
M Bellagente, J Tow, D Mahan, D Phung, M Zhuravinskyi, R Adithyan, ...
arXiv preprint arXiv:2402.17834, 2024
352024
On last-layer algorithms for classification: Decoupling representation from uncertainty estimation
N Brosse, C Riquelme, A Martin, S Gelly, É Moulines
arXiv preprint arXiv:2001.08049, 2020
352020
Online Active Linear Regression via Thresholding
C Riquelme, R Johari, B Zhang
AAAI-17, Thirty-First AAAI Conference on Artificial Intelligence., 2017
352017
The Beta-VAE's Implicit Prior
MD Hoffman, C Riquelme, M Johnson
Bayesian Deep Learning Workshop. Neural Information Processing Systems, NIPS …, 2017
222017
Which model to transfer? finding the needle in the growing haystack
C Renggli, AS Pinto, L Rimanic, J Puigcerver, C Riquelme, C Zhang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
202022
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