Carlos Riquelme

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 36

Top Topics

Top Venues

Publications

Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, Jonathan Tow, James Baicoianu, Ashish Datta, Maksym Zhuravinskyi, Dakota Mahan, Marco Bellagente, Carlos Riquelme, Nathan Cooper
Stable Code Technical Report. CoRR (2024)
Tianlin Liu, Mathieu Blondel, Carlos Riquelme, Joan Puigcerver
Routers in Vision Mixture of Experts: An Empirical Study. CoRR (2024)
Marco Bellagente, Jonathan Tow, Dakota Mahan, Duy Phung, Maksym Zhuravinskyi, Reshinth Adithyan, James Baicoianu, Ben Brooks, Nathan Cooper, Ashish Datta, Meng Lee, Emad Mostaque, Michael Pieler, Nikhil Pinnaparaju, Paulo Rocha, Harry Saini, Hannah Teufel, Niccoló Zanichelli, Carlos Riquelme
Stable LM 2 1.6B Technical Report. CoRR (2024)
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
Scaling Vision Transformers to 22 Billion Parameters. CoRR (2023)
Elias Frantar, Carlos Riquelme, Neil Houlsby, Dan Alistarh, Utku Evci
Scaling Laws for Sparsely-Connected Foundation Models. CoRR (2023)
Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Neil Houlsby
From Sparse to Soft Mixtures of Experts. CoRR (2023)
Joan Puigcerver, Rodolphe Jenatton, Carlos Riquelme, Pranjal Awasthi, Srinadh Bhojanapalli
On the Adversarial Robustness of Mixture of Experts. CoRR (2022)
Basil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, Neil Houlsby
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts. CoRR (2022)
Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
PaLI: A Jointly-Scaled Multilingual Language-Image Model. CoRR (2022)
Joan Puigcerver, Rodolphe Jenatton, Carlos Riquelme, Pranjal Awasthi, Srinadh Bhojanapalli
On the Adversarial Robustness of Mixture of Experts. NeurIPS (2022)
Basil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, Neil Houlsby
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts. NeurIPS (2022)
Cédric Renggli, André Susano Pinto, Neil Houlsby, Basil Mustafa, Joan Puigcerver, Carlos Riquelme
Learning to Merge Tokens in Vision Transformers. CoRR (2022)
Cédric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic
Which Model to Transfer? Finding the Needle in the Growing Haystack. CVPR (2022)
Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby
Scaling Vision with Sparse Mixture of Experts. NeurIPS (2021)
Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby
Scaling Vision with Sparse Mixture of Experts. CoRR (2021)
Cédric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic
Which Model to Transfer? Finding the Needle in the Growing Haystack. CoRR (2020)
Nicolas Brosse, Carlos Riquelme, Alice Martin, Sylvain Gelly, Eric Moulines
On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation. CoRR (2020)
Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Cédric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby
Scalable Transfer Learning with Expert Models. CoRR (2020)
Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
Google Research Football: A Novel Reinforcement Learning Environment. AAAI (2020)
Basil Mustafa, Carlos Riquelme, Joan Puigcerver, André Susano Pinto, Daniel Keysers, Neil Houlsby
Deep Ensembles for Low-Data Transfer Learning. CoRR (2020)
Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya O. Tolstikhin
Practical and Consistent Estimation of f-Divergences. NeurIPS (2019)
Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
Google Research Football: A Novel Reinforcement Learning Environment. CoRR (2019)
Carlos Riquelme, Hugo Penedones, Damien Vincent, Hartmut Maennel, Sylvain Gelly, Timothy A. Mann, André Barreto, Gergely Neu
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates. NeurIPS (2019)
Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, André Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby
The Visual Task Adaptation Benchmark. CoRR (2019)
Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya O. Tolstikhin
Practical and Consistent Estimation of f-Divergences. CoRR (2019)
Hugo Penedones, Carlos Riquelme, Damien Vincent, Hartmut Maennel, Timothy A. Mann, André Barreto, Sylvain Gelly, Gergely Neu
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates. CoRR (2019)
Carlos Riquelme, George Tucker, Jasper Snoek
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling. CoRR (2018)
Sven Schmit, Carlos Riquelme
Human Interaction with Recommendation Systems. AISTATS (2018)
Carlos Riquelme, George Tucker, Jasper Snoek
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling. ICLR (Poster) (2018)
Carlos Riquelme, Mohammad Ghavamzadeh, Alessandro Lazaric
Active Learning for Accurate Estimation of Linear Models. ICML (2017)
Sven Schmit, Carlos Riquelme
Human Interaction with Recommendation Systems: On Bias and Exploration. CoRR (2017)
Carlos Riquelme, Mohammad Ghavamzadeh, Alessandro Lazaric
Active Learning for Accurate Estimation of Linear Models. CoRR (2017)
Carlos Riquelme, Ramesh Johari, Baosen Zhang
Online Active Linear Regression via Thresholding. AAAI (2017)
Siddhartha Banerjee, Ramesh Johari, Carlos Riquelme
Dynamic pricing in ridesharing platforms. SIGecom Exch. 15 (1) (2016)
Carlos Riquelme, Ramesh Johari, Baosen Zhang
Online Active Linear Regression via Thresholding. CoRR (2016)
Siddhartha Banerjee, Ramesh Johari, Carlos Riquelme
Pricing in Ride-Sharing Platforms: A Queueing-Theoretic Approach. EC (2015)
Austin R. Benson, Carlos Riquelme, Sven Schmit
Learning multifractal structure in large networks. KDD (2014)
Austin R. Benson, Carlos Riquelme, Sven Schmit
Learning multifractal structure in large networks. CoRR (2014)