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2020 – today
- 2024
[j5]Tianlin Liu, Mathieu Blondel, Carlos Riquelme Ruiz, Joan Puigcerver:
Routers in Vision Mixture of Experts: An Empirical Study. Trans. Mach. Learn. Res. 2024 (2024)- [c29]Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Neil Houlsby:
From Sparse to Soft Mixtures of Experts. ICLR 2024 - [i21]Tianlin Liu, Mathieu Blondel, Carlos Riquelme, Joan Puigcerver:
Routers in Vision Mixture of Experts: An Empirical Study. CoRR abs/2401.15969 (2024) - [i20]Lucas Beyer, Andreas Steiner, André Susano Pinto, Alexander Kolesnikov, Xiao Wang, Daniel Salz, Maxim Neumann, Ibrahim Alabdulmohsin, Michael Tschannen, Emanuele Bugliarello, Thomas Unterthiner
, Daniel Keysers, Skanda Koppula, Fangyu Liu, Adam Grycner, Alexey A. Gritsenko, Neil Houlsby, Manoj Kumar, Keran Rong, Julian Eisenschlos, Rishabh Kabra, Matthias Bauer, Matko Bosnjak, Xi Chen, Matthias Minderer, Paul Voigtlaender, Ioana Bica, Ivana Balazevic, Joan Puigcerver, Pinelopi Papalampidi, Olivier J. Hénaff, Xi Xiong, Radu Soricut, Jeremiah Harmsen, Xiaohua Zhai:
PaliGemma: A versatile 3B VLM for transfer. CoRR abs/2407.07726 (2024) - 2023
- [j4]Enrique Vidal, Alejandro H. Toselli, Joan Puigcerver:
Lexicon-based probabilistic indexing of handwritten text images. Neural Comput. Appl. 35(24): 17501-17520 (2023) - [c28]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:
PaLI: A Jointly-Scaled Multilingual Language-Image Model. ICLR 2023 - [c27]Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, Carlos Riquelme Ruiz, Basil Mustafa, Joshua Ainslie, Yi Tay, Mostafa Dehghani, Neil Houlsby:
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. ICLR 2023 - [c26]Tianlin Liu, Joan Puigcerver, Mathieu Blondel:
Sparsity-Constrained Optimal Transport. ICLR 2023 - [c25]Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark 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 J. Harmsen, Neil Houlsby:
Scaling Vision Transformers to 22 Billion Parameters. ICML 2023: 7480-7512 - [c24]Michael Eli Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel:
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective. ICML 2023: 29919-29936 - [c23]Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim M. Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey A. Gritsenko, Mario Lucic, Neil Houlsby:
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. NeurIPS 2023 - [i19]Michael E. Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel:
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective. CoRR abs/2302.01425 (2023) - [i18]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:
Scaling Vision Transformers to 22 Billion Parameters. CoRR abs/2302.05442 (2023) - [i17]Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey A. Gritsenko, Mario Lucic, Neil Houlsby:
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. CoRR abs/2307.06304 (2023) - [i16]Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Neil Houlsby:
From Sparse to Soft Mixtures of Experts. CoRR abs/2308.00951 (2023) - 2022
- [j3]James Urquhart Allingham, Florian Wenzel, Zelda E. Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel, Vincent Fortuin, Balaji Lakshminarayanan, Jasper Snoek, Dustin Tran, Carlos Riquelme Ruiz, Rodolphe Jenatton:
Sparse MoEs meet Efficient Ensembles. Trans. Mach. Learn. Res. 2022 (2022) - [c22]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: 9195-9204 - [c21]Basil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, Neil Houlsby:
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts. NeurIPS 2022 - [c20]Joan Puigcerver, Rodolphe Jenatton, Carlos Riquelme, Pranjal Awasthi, Srinadh Bhojanapalli:
On the Adversarial Robustness of Mixture of Experts. NeurIPS 2022 - [i15]Cédric Renggli, André Susano Pinto, Neil Houlsby, Basil Mustafa, Joan Puigcerver, Carlos Riquelme:
Learning to Merge Tokens in Vision Transformers. CoRR abs/2202.12015 (2022) - [i14]Basil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, Neil Houlsby:
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts. CoRR abs/2206.02770 (2022) - [i13]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:
PaLI: A Jointly-Scaled Multilingual Language-Image Model. CoRR abs/2209.06794 (2022) - [i12]Tianlin Liu, Joan Puigcerver, Mathieu Blondel:
Sparsity-Constrained Optimal Transport. CoRR abs/2209.15466 (2022) - [i11]Joan Puigcerver, Rodolphe Jenatton, Carlos Riquelme, Pranjal Awasthi, Srinadh Bhojanapalli:
On the Adversarial Robustness of Mixture of Experts. CoRR abs/2210.10253 (2022) - [i10]Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, Carlos Riquelme Ruiz, Basil Mustafa, Joshua Ainslie, Yi Tay, Mostafa Dehghani, Neil Houlsby:
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. CoRR abs/2212.05055 (2022) - 2021
- [c19]Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic:
On Robustness and Transferability of Convolutional Neural Networks. CVPR 2021: 16458-16468 - [c18]Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Cédric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby:
Scalable Transfer Learning with Expert Models. ICLR 2021 - [c17]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: 8583-8595 - [i9]Enrique Vidal, Alejandro H. Toselli, Joan Puigcerver:
A Probabilistic Framework for Lexicon-based Keyword Spotting in Handwritten Text Images. CoRR abs/2104.04556 (2021) - [i8]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 abs/2106.05974 (2021) - [i7]James Urquhart Allingham, Florian Wenzel, Zelda E. Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel, Vincent Fortuin, Balaji Lakshminarayanan, Jasper Snoek, Dustin Tran, Carlos Riquelme Ruiz, Rodolphe Jenatton:
Sparse MoEs meet Efficient Ensembles. CoRR abs/2110.03360 (2021) - 2020
- [c16]Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby:
Big Transfer (BiT): General Visual Representation Learning. ECCV (5) 2020: 491-507 - [i6]Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic:
On Robustness and Transferability of Convolutional Neural Networks. CoRR abs/2007.08558 (2020) - [i5]Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Cédric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby:
Scalable Transfer Learning with Expert Models. CoRR abs/2009.13239 (2020) - [i4]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 abs/2010.06402 (2020) - [i3]Basil Mustafa, Carlos Riquelme, Joan Puigcerver, André Susano Pinto, Daniel Keysers, Neil Houlsby:
Deep Ensembles for Low-Data Transfer Learning. CoRR abs/2010.06866 (2020)
2010 – 2019
- 2019
- [j2]Alejandro H. Toselli, Enrique Vidal, Joan Puigcerver, Ernesto Noya-García:
Probabilistic multi-word spotting in handwritten text images. Pattern Anal. Appl. 22(1): 23-32 (2019) - [i2]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 abs/1910.04867 (2019) - [i1]Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby:
Large Scale Learning of General Visual Representations for Transfer. CoRR abs/1912.11370 (2019) - 2018
- [c15]Dominique Stutzmann, Christopher Kermorvant, Enrique Vidal, Sukalpa Chanda, Sébastien Hamel, Joan Puigcerver, Lambert Schomaker, Alejandro H. Toselli:
Handwritten Text Recognition, Keyword Indexing, and Plain Text Search in Medieval Manuscripts. DH 2018: 298-301 - [c14]Eva Lang, Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal:
Probabilistic Indexing and Search for Information Extraction on Handwritten German Parish Records. ICFHR 2018: 44-49 - 2017
- [j1]Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal:
Querying out-of-vocabulary words in lexicon-based keyword spotting. Neural Comput. Appl. 28(9): 2373-2382 (2017) - [c13]Joan Puigcerver:
Are Multidimensional Recurrent Layers Really Necessary for Handwritten Text Recognition? ICDAR 2017: 67-72 - [c12]Théodore Bluche, Sébastien Hamel, Christopher Kermorvant, Joan Puigcerver, Dominique Stutzmann, Alejandro H. Toselli, Enrique Vidal:
Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project. ICDAR 2017: 311-316 - 2016
- [c11]Mauricio Villegas, Joan Puigcerver, Alejandro H. Toselli, Joan-Andreu Sánchez, Enrique Vidal:
Overview of the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task. CLEF (Working Notes) 2016: 233-253 - [c10]Mauricio Villegas, Henning Müller, Alba Garcia Seco de Herrera, Roger Schaer, Stefano Bromuri, Andrew Gilbert, Luca Piras, Josiah Wang, Fei Yan, Arnau Ramisa, Emmanuel Dellandréa, Robert J. Gaizauskas, Krystian Mikolajczyk, Joan Puigcerver, Alejandro H. Toselli, Joan-Andreu Sánchez, Enrique Vidal:
General Overview of ImageCLEF at the CLEF 2016 Labs. CLEF 2016: 267-285 - [c9]Alejandro Héctor Toselli Rossi, Joan Puigcerver, Enrique Vidal:
Two Methods to Improve Confidence Scores for Lexicon-Free Word Spotting in Handwritten Text. ICFHR 2016: 349-354 - [c8]Ioannis Pratikakis, Konstantinos Zagoris, Basilis Gatos, Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal:
ICFHR2016 Handwritten Keyword Spotting Competition (H-KWS 2016). ICFHR 2016: 613-618 - 2015
- [c7]Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal:
A New Smoothing Method for Lexicon-Based Handwritten Text Keyword Spotting. IbPRIA 2015: 23-30 - [c6]Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal:
Probabilistic interpretation and improvements to the HMM-filler for handwritten keyword spotting. ICDAR 2015: 731-735 - [c5]Alejandro Héctor Toselli Rossi, Joan Puigcerver, Enrique Vidal:
Context-aware lattice based filler approach for key word spotting in handwritten documents. ICDAR 2015: 736-740 - [c4]Enrique Vidal, Alejandro H. Toselli, Joan Puigcerver:
High performance Query-by-Example keyword spotting using Query-by-String techniques. ICDAR 2015: 741-745 - [c3]Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal:
ICDAR2015 Competition on Keyword Spotting for Handwritten Documents. ICDAR 2015: 1176-1180 - 2014
- [c2]Joan Puigcerver, Alejandro Héctor Toselli Rossi, Enrique Vidal:
Word-Graph and Character-Lattice Combination for KWS in Handwritten Documents. ICFHR 2014: 181-186 - [c1]Joan Puigcerver, Alejandro Héctor Toselli Rossi, Enrique Vidal:
Word-Graph-Based Handwriting Keyword Spotting of Out-of-Vocabulary Queries. ICPR 2014: 2035-2040
Coauthor Index
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last updated on 2024-10-07 22:08 CEST by the dblp team
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