Word-Graph and Character-Lattice Combination for KWS in Handwritten Documents. - Joan Puigcerver; Alejandro Héctor Toselli Rossi; Enrique Vidal 001 (ICFHR, 2014)

Word-Graph-Based Handwriting Keyword Spotting of Out-of-Vocabulary Queries. - Joan Puigcerver; Alejandro Héctor Toselli Rossi; Enrique Vidal 001 (ICPR, 2014)

A New Smoothing Method for Lexicon-Based Handwritten Text Keyword Spotting. - Joan Puigcerver; Alejandro H. Toselli; Enrique Vidal 001 (IbPRIA, 2015)

Probabilistic interpretation and improvements to the HMM-filler for handwritten keyword spotting. - Joan Puigcerver; Alejandro H. Toselli; Enrique Vidal 001 (ICDAR, 2015)

ICDAR2015 Competition on Keyword Spotting for Handwritten Documents. - Joan Puigcerver; Alejandro H. Toselli; Enrique Vidal 001 (ICDAR, 2015)

Context-aware lattice based filler approach for key word spotting in handwritten documents. - Alejandro Héctor Toselli Rossi; Joan Puigcerver; Enrique Vidal 001 (ICDAR, 2015)

High performance Query-by-Example keyword spotting using Query-by-String techniques. - Enrique Vidal 001; Alejandro H. Toselli; Joan Puigcerver (ICDAR, 2015)

General Overview of ImageCLEF at the CLEF 2016 Labs. - Mauricio Villegas; Henning Müller; Alba Garcia Seco de Herrera; Roger Schaer; Stefano Bromuri; Andrew Gilbert; Luca Piras 001; Josiah Wang; Fei Yan 001; Arnau Ramisa; Emmanuel Dellandréa; Robert J. Gaizauskas; et al. (CLEF, 2016)

Overview of the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task. - Mauricio Villegas; Joan Puigcerver; Alejandro H. Toselli; Joan-Andreu Sánchez; Enrique Vidal 001 (CLEF (Working Notes), 2016)

ICFHR2016 Handwritten Keyword Spotting Competition (H-KWS 2016). - Ioannis Pratikakis; Konstantinos Zagoris; Basilis Gatos; Joan Puigcerver; Alejandro H. Toselli; Enrique Vidal 001 (ICFHR, 2016)

Two Methods to Improve Confidence Scores for Lexicon-Free Word Spotting in Handwritten Text. - Alejandro Héctor Toselli Rossi; Joan Puigcerver; Enrique Vidal 001 (ICFHR, 2016)

Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project. - Théodore Bluche; Sébastien Hamel; Christopher Kermorvant; Joan Puigcerver; Dominique Stutzmann; Alejandro H. Toselli; Enrique Vidal 001 (ICDAR, 2017)

Are Multidimensional Recurrent Layers Really Necessary for Handwritten Text Recognition? - Joan Puigcerver (ICDAR, 2017)

Querying out-of-vocabulary words in lexicon-based keyword spotting. - Joan Puigcerver; Alejandro H. Toselli; Enrique Vidal 001 (Neural Comput. Appl., 2017)

Handwritten Text Recognition, Keyword Indexing, and Plain Text Search in Medieval Manuscripts. - Dominique Stutzmann; Christopher Kermorvant; Enrique Vidal 001; Sukalpa Chanda; Sébastien Hamel; Joan Puigcerver; Lambert Schomaker; Alejandro H. Toselli (DH, 2018)

Probabilistic Indexing and Search for Information Extraction on Handwritten German Parish Records. - Eva Lang; Joan Puigcerver; Alejandro H. Toselli; Enrique Vidal 001 (ICFHR, 2018)

The Visual Task Adaptation Benchmark. - Xiaohua Zhai; Joan Puigcerver; Alexander Kolesnikov 003; Pierre Ruyssen; Carlos Riquelme; Mario Lucic; Josip Djolonga; André Susano Pinto; Maxim Neumann; Alexey Dosovitskiy; Lucas Beyer; Olivier Bachem; et al. (CoRR, 2019)

Large Scale Learning of General Visual Representations for Transfer. - Alexander Kolesnikov 003; Lucas Beyer; Xiaohua Zhai; Joan Puigcerver; Jessica Yung; Sylvain Gelly; Neil Houlsby (CoRR, 2019)

Probabilistic multi-word spotting in handwritten text images. - Alejandro H. Toselli; Enrique Vidal 001; Joan Puigcerver; Ernesto Noya-García (Pattern Anal. Appl., 2019)

Big Transfer (BiT): General Visual Representation Learning. - Alexander Kolesnikov 003; Lucas Beyer; Xiaohua Zhai; Joan Puigcerver; Jessica Yung; Sylvain Gelly; Neil Houlsby (ECCV (5), 2020)

Deep Ensembles for Low-Data Transfer Learning. - Basil Mustafa; Carlos Riquelme; Joan Puigcerver; André Susano Pinto; Daniel Keysers; Neil Houlsby (CoRR, 2020)

On Robustness and Transferability of Convolutional Neural Networks. - Josip Djolonga; Jessica Yung; Michael Tschannen; Rob Romijnders; Lucas Beyer; Alexander Kolesnikov 003; Joan Puigcerver; Matthias Minderer; Alexander D'Amour; Dan Moldovan; Sylvain Gelly; Neil Houlsby; et al. (CVPR, 2021)

Scalable Transfer Learning with Expert Models. - Joan Puigcerver; Carlos Riquelme Ruiz; Basil Mustafa; Cédric Renggli; André Susano Pinto; Sylvain Gelly; Daniel Keysers; Neil Houlsby (ICLR, 2021)

Scaling Vision with Sparse Mixture of Experts. - Carlos Riquelme; Joan Puigcerver; Basil Mustafa; Maxim Neumann; Rodolphe Jenatton; André Susano Pinto; Daniel Keysers; Neil Houlsby (NeurIPS, 2021)

A Probabilistic Framework for Lexicon-based Keyword Spotting in Handwritten Text Images. - Enrique Vidal 001; Alejandro H. Toselli; Joan Puigcerver (CoRR, 2021)

Which Model to Transfer? Finding the Needle in the Growing Haystack. - Cédric Renggli; André Susano Pinto; Luka Rimanic; Joan Puigcerver; Carlos Riquelme; Ce Zhang 001; Mario Lucic (CVPR, 2022)

Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts. - Basil Mustafa; Carlos Riquelme; Joan Puigcerver; Rodolphe Jenatton; Neil Houlsby (NeurIPS, 2022)

On the Adversarial Robustness of Mixture of Experts. - Joan Puigcerver; Rodolphe Jenatton; Carlos Riquelme; Pranjal Awasthi; Srinadh Bhojanapalli (NeurIPS, 2022)

Learning to Merge Tokens in Vision Transformers. - Cédric Renggli; André Susano Pinto; Neil Houlsby; Basil Mustafa; Joan Puigcerver; Carlos Riquelme (CoRR, 2022)

PaLI: A Jointly-Scaled Multilingual Language-Image Model. - Xi Chen 071; Xiao Wang 038; Soravit Changpinyo; A. J. Piergiovanni; Piotr Padlewski; Daniel Salz; Sebastian Goodman; Adam Grycner; Basil Mustafa; Lucas Beyer; Alexander Kolesnikov 003; Joan Puigcerver; et al. (CoRR, 2022)

Sparse MoEs meet Efficient Ensembles. - 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; et al. (Trans. Mach. Learn. Res., 2022)

PaLI: A Jointly-Scaled Multilingual Language-Image Model. - Xi Chen 071; Xiao Wang 038; Soravit Changpinyo; A. J. Piergiovanni; Piotr Padlewski; Daniel Salz; Sebastian Goodman; Adam Grycner; Basil Mustafa; Lucas Beyer; Alexander Kolesnikov 003; Joan Puigcerver; et al. (ICLR, 2023)

Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints. - Aran Komatsuzaki; Joan Puigcerver; James Lee-Thorp; Carlos Riquelme Ruiz; Basil Mustafa; Joshua Ainslie; Yi Tay; Mostafa Dehghani 001; Neil Houlsby (ICLR, 2023)

Sparsity-Constrained Optimal Transport. - Tianlin Liu; Joan Puigcerver; Mathieu Blondel (ICLR, 2023)

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (ICML, 2023)

Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective. - Michael Eli Sander; Joan Puigcerver; Josip Djolonga; Gabriel Peyré; Mathieu Blondel (ICML, 2023)

Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. - Mostafa Dehghani 001; Basil Mustafa; Josip Djolonga; Jonathan Heek; Matthias Minderer; Mathilde Caron; Andreas Steiner 001; Joan Puigcerver; Robert Geirhos; Ibrahim M. Alabdulmohsin; Avital Oliver; Piotr Padlewski; et al. (NeurIPS, 2023)

Lexicon-based probabilistic indexing of handwritten text images. - Enrique Vidal 001; Alejandro H. Toselli; Joan Puigcerver (Neural Comput. Appl., 2023)

From Sparse to Soft Mixtures of Experts. - Joan Puigcerver; Carlos Riquelme Ruiz; Basil Mustafa; Neil Houlsby (ICLR, 2024)

PaliGemma: A versatile 3B VLM for transfer. - Lucas Beyer; Andreas Steiner 001; André Susano Pinto; Alexander Kolesnikov 003; Xiao Wang 038; Daniel Salz; Maxim Neumann; Ibrahim Alabdulmohsin; Michael Tschannen; Emanuele Bugliarello; Thomas Unterthiner; Daniel Keysers; et al. (CoRR, 2024)

Routers in Vision Mixture of Experts: An Empirical Study. - Tianlin Liu; Mathieu Blondel; Carlos Riquelme Ruiz; Joan Puigcerver (Trans. Mach. Learn. Res., 2024)