Carlos Riquelme

41 papers A* 11A 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic. CoRR Zaid Alyafeai, Michael Pieler, Hannah Teufel, Jonathan Tow, Marco Bellagente, Duy Phung, Nikhil Pinnaparaju, Reshinth Adithyan, Paulo Rocha, Maksym Zhuravinskyi, Carlos Riquelme
2024	—	`conf`	Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training. ENLSP Michael Pieler, Marco Bellagente, Hannah Teufel, Duy Phung, Nathan Cooper, Jonathan Tow, Paulo Rocha, Reshinth Adithyan, Zaid Alyafeai, Nikhil Pinnaparaju, Maksym Zhuravinskyi, Carlos Riquelme
2024	J	`jnl`	Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training. CoRR Michael Pieler, Marco Bellagente, Hannah Teufel, Duy Phung, Nathan Cooper, Jonathan Tow, Paulo Rocha, Reshinth Adithyan, Zaid Alyafeai, Nikhil Pinnaparaju, Maksym Zhuravinskyi, Carlos Riquelme
2024	J	`jnl`	Routers in Vision Mixture of Experts: An Empirical Study. CoRR Tianlin Liu, Mathieu Blondel, Carlos Riquelme, Joan Puigcerver
2024	J	`jnl`	Stable Code Technical Report. CoRR Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung, Jonathan Tow, James Baicoianu, Ashish Datta, Maksym Zhuravinskyi, Dakota Mahan, Marco Bellagente, Carlos Riquelme, Nathan Cooper
2024	J	`jnl`	Stable LM 2 1.6B Technical Report. CoRR 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
2023	J	`jnl`	From Sparse to Soft Mixtures of Experts. CoRR Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Neil Houlsby
2023	J	`jnl`	Scaling Laws for Sparsely-Connected Foundation Models. CoRR Elias Frantar, Carlos Riquelme, Neil Houlsby, Dan Alistarh, Utku Evci
2023	J	`jnl`	Scaling Vision Transformers to 22 Billion Parameters. CoRR 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 Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
2022	J	`jnl`	Learning to Merge Tokens in Vision Transformers. CoRR Cédric Renggli, André Susano Pinto, Neil Houlsby, Basil Mustafa, Joan Puigcerver, Carlos Riquelme
2022	A*	`conf`	Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts. NeurIPS Basil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, Neil Houlsby
2022	J	`jnl`	Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts. CoRR Basil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, Neil Houlsby
2022	A*	`conf`	On the Adversarial Robustness of Mixture of Experts. NeurIPS Joan Puigcerver, Rodolphe Jenatton, Carlos Riquelme, Pranjal Awasthi, Srinadh Bhojanapalli
2022	J	`jnl`	On the Adversarial Robustness of Mixture of Experts. CoRR Joan Puigcerver, Rodolphe Jenatton, Carlos Riquelme, Pranjal Awasthi, Srinadh Bhojanapalli
2022	J	`jnl`	PaLI: A Jointly-Scaled Multilingual Language-Image Model. CoRR 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 V. Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
2022	A*	`conf`	Which Model to Transfer? Finding the Needle in the Growing Haystack. CVPR Cédric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic
2021	A*	`conf`	Scaling Vision with Sparse Mixture of Experts. NeurIPS Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby
2021	J	`jnl`	Scaling Vision with Sparse Mixture of Experts. CoRR Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby
2020	J	`jnl`	Deep Ensembles for Low-Data Transfer Learning. CoRR Basil Mustafa, Carlos Riquelme, Joan Puigcerver, André Susano Pinto, Daniel Keysers, Neil Houlsby
2020	A*	`conf`	Google Research Football: A Novel Reinforcement Learning Environment. AAAI Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
2020	J	`jnl`	On Last-Layer Algorithms for Classification: Decoupling Representation from Uncertainty Estimation. CoRR Nicolas Brosse, Carlos Riquelme, Alice Martin, Sylvain Gelly, Eric Moulines
2020	J	`jnl`	Scalable Transfer Learning with Expert Models. CoRR Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Cédric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby
2020	J	`jnl`	Which Model to Transfer? Finding the Needle in the Growing Haystack. CoRR Cédric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic
2019	A*	`conf`	Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates. NeurIPS Carlos Riquelme, Hugo Penedones, Damien Vincent, Hartmut Maennel, Sylvain Gelly, Timothy A. Mann, André Barreto, Gergely Neu
2019	J	`jnl`	Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates. CoRR Hugo Penedones, Carlos Riquelme, Damien Vincent, Hartmut Maennel, Timothy A. Mann, André Barreto, Sylvain Gelly, Gergely Neu
2019	J	`jnl`	Google Research Football: A Novel Reinforcement Learning Environment. CoRR Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
2019	A*	`conf`	Practical and Consistent Estimation of f-Divergences. NeurIPS Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya O. Tolstikhin
2019	J	`jnl`	Practical and Consistent Estimation of f-Divergences. CoRR Paul K. Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya O. Tolstikhin
2019	J	`jnl`	The Visual Task Adaptation Benchmark. CoRR 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
2018	—	`conf`	Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling. ICLR (Poster) Carlos Riquelme, George Tucker, Jasper Snoek
2018	J	`jnl`	Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling. CoRR Carlos Riquelme, George Tucker, Jasper Snoek
2018	A	`conf`	Human Interaction with Recommendation Systems. AISTATS Sven Schmit, Carlos Riquelme
2017	A*	`conf`	Active Learning for Accurate Estimation of Linear Models. ICML Carlos Riquelme, Mohammad Ghavamzadeh, Alessandro Lazaric
2017	J	`jnl`	Active Learning for Accurate Estimation of Linear Models. CoRR Carlos Riquelme, Mohammad Ghavamzadeh, Alessandro Lazaric
2017	J	`jnl`	Human Interaction with Recommendation Systems: On Bias and Exploration. CoRR Sven Schmit, Carlos Riquelme
2017	A*	`conf`	Online Active Linear Regression via Thresholding. AAAI Carlos Riquelme, Ramesh Johari, Baosen Zhang
2016	J	`jnl`	Dynamic pricing in ridesharing platforms. SIGecom Exch. Siddhartha Banerjee, Ramesh Johari, Carlos Riquelme
2016	J	`jnl`	Online Active Linear Regression via Thresholding. CoRR Carlos Riquelme, Ramesh Johari, Baosen Zhang
2015	A*	`conf`	Pricing in Ride-Sharing Platforms: A Queueing-Theoretic Approach. EC Siddhartha Banerjee, Ramesh Johari, Carlos Riquelme
2014	A*	`conf`	Learning multifractal structure in large networks. KDD Austin R. Benson, Carlos Riquelme, Sven Schmit
2014	J	`jnl`	Learning multifractal structure in large networks. CoRR Austin R. Benson, Carlos Riquelme, Sven Schmit