André Susano Pinto

27 papers A* 7C 1Misc 1Journal 17Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Jet: A Modern Transformer-Based Normalizing Flow.
Trans. Mach. Learn. Res.
Alexander Kolesnikov, André Susano Pinto, Michael Tschannen
2025 A* conf
JetFormer: An autoregressive generative model of raw images and text.
ICLR
Michael Tschannen, André Susano Pinto, Alexander Kolesnikov
2024 J jnl
Jet: A Modern Transformer-Based Normalizing Flow.
CoRR
Alexander Kolesnikov, André Susano Pinto, Michael Tschannen
2024 J jnl
JetFormer: An Autoregressive Generative Model of Raw Images and Text.
CoRR
Michael Tschannen, André Susano Pinto, Alexander Kolesnikov
2024 A* conf
LocCa: Visual Pretraining with Location-aware Captioners.
NeurIPS
Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim M. Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai
2024 J jnl
LocCa: Visual Pretraining with Location-aware Captioners.
CoRR
Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai
2024 J jnl
PaliGemma 2: A Family of Versatile VLMs for Transfer.
CoRR
Andreas Steiner, André Susano Pinto, Michael Tschannen, Daniel Keysers, Xiao Wang, Yonatan Bitton, Alexey A. Gritsenko, Matthias Minderer, Anthony Sherbondy, Shangbang Long, Siyang Qin, R. Reeve Ingle, Emanuele Bugliarello, Sahar Kazemzadeh, Thomas Mesnard, Ibrahim Alabdulmohsin, Lucas Beyer, Xiaohua Zhai
2024 J jnl
PaliGemma: A versatile 3B VLM for transfer.
CoRR
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
2023 J jnl
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision.
CoRR
Lucas Beyer, Bo Wan, Gagan Madan, Filip Pavetic, Andreas Steiner, Alexander Kolesnikov, André Susano Pinto, Emanuele Bugliarello, Xiao Wang, Qihang Yu, Liang-Chieh Chen, Xiaohua Zhai
2023 A* conf
Tuning Computer Vision Models With Task Rewards.
ICML
André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai
2023 J jnl
Tuning computer vision models with task rewards.
CoRR
André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai
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
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes.
NeurIPS
Alexander Kolesnikov, André Susano Pinto, Lucas Beyer, Xiaohua Zhai, Jeremiah Harmsen, Neil Houlsby
2022 J jnl
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes.
CoRR
Alexander Kolesnikov, André Susano Pinto, Lucas Beyer, Xiaohua Zhai, Jeremiah Harmsen, Neil Houlsby
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
Scalable Transfer Learning with Expert Models.
ICLR
Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Cédric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby
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 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 C conf
Training General Representations for Remote Sensing Using in-Domain Knowledge.
IGARSS
Maxim Neumann, André Susano Pinto, Xiaohua Zhai, Neil Houlsby
2020 J jnl
Training general representations for remote sensing using in-domain knowledge.
CoRR
Maxim Neumann, André Susano Pinto, Xiaohua Zhai, 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 J jnl
In-domain representation learning for remote sensing.
CoRR
Maxim Neumann, André Susano Pinto, Xiaohua Zhai, Neil Houlsby
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
2011 Misc conf
Novelty Detection Using Graphical Models for Semantic Room Classification.
EPIA
André Susano Pinto, Andrzej Pronobis, Luís Paulo Reis
2010 — conf
Adaptive Collapsing on Bounding Volume Hierarchies for Ray-Tracing.
Eurographics (Short Papers)
André Susano Pinto