Pau Rodríguez

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 87

Top Topics

Robust Classification

Weakly Supervised

Attention Mechanism

Image Generation

Top Venues

Publications

Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. CoRR (2024)
João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez
Constraining Representations Yields Models That Know What They Don't Know. ICLR (2023)
Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. ICML (2023)
Federico Danieli, Miguel Sarabia, Xavier Suau, Pau Rodríguez, Luca Zappella
DeepPCR: Parallelizing Sequential Operations in Neural Networks. CoRR (2023)
Parichehr Behjati, Pau Rodríguez, Carles Fernández, Isabelle Hupont, Armin Mehri, Jordi Gonzàlez
Single image super-resolution based on directional variance attention network. Pattern Recognit. 133 (2023)
Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas
Robust multimodal models have outlier features and encode more concepts. CoRR (2023)
Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. NeurIPS (2023)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
OCR-VQGAN: Taming Text-within-Image Generation. WACV (2023)
Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. CoRR (2023)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
FigGen: Text to Scientific Figure Generation. CoRR (2023)
Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu
GEO-Bench: Toward Foundation Models for Earth Monitoring. CoRR (2023)
Nicolas Gontier, Pau Rodríguez, Issam H. Laradji, David Vázquez, Christopher Pal
Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. CoRR (2023)
Rim Assouel, Pau Rodríguez, Perouz Taslakian, David Vázquez, Yoshua Bengio
OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning. CoRR (2023)
Diego A. Velázquez, Pau Rodríguez, Alexandre Lacoste, Issam H. Laradji, F. Xavier Roca, Jordi Gonzàlez
Explaining Visual Counterfactual Explainers. Trans. Mach. Learn. Res. 2023 (2023)
Oleksiy Ostapenko, Pau Rodríguez, Alexandre Lacoste, Laurent Charlin
From IID to the Independent Mechanisms assumption in continual learning. AAAI Bridge Program (2023)
Sergi Masip, Pau Rodríguez, Tinne Tuytelaars, Gido M. van de Ven
Continual Learning of Diffusion Models with Generative Distillation. CoRR (2023)
Timothée Lesort, Oleksiy Ostapenko, Pau Rodríguez, Diganta Misra, Md Rifat Arefin, Laurent Charlin, Irina Rish
Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation. CoLLAs (2023)
Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
A Survey of Self-Supervised and Few-Shot Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Amine El Hattami, Issam H. Laradji, Stefania Raimondo, David Vázquez, Pau Rodríguez, Christopher Pal
Workflow Discovery from Dialogues in the Low Data Regime. Trans. Mach. Learn. Res. 2023 (2023)
Federico Danieli, Miguel Sarabia, Xavier Suau Cuadros, Pau Rodríguez, Luca Zappella
DeepPCR: Parallelizing Sequential Operations in Neural Networks. NeurIPS (2023)
Juan A. Rodriguez, Shubham Agarwal, Issam H. Laradji, Pau Rodríguez, David Vázquez, Christopher Pal, Marco Pedersoli
StarVector: Generating Scalable Vector Graphics Code from Images. CoRR (2023)
Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville
Group Robust Classification Without Any Group Information. NeurIPS (2023)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
FigGen: Text to Scientific Figure Generation. Tiny Papers @ ICLR (2023)
Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville
Group Robust Classification Without Any Group Information. CoRR (2023)
Alexandre Lacoste, Nils Lehmann, Pau Rodríguez, Evan D. Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vázquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiaoxiang Zhu
GEO-Bench: Toward Foundation Models for Earth Monitoring. NeurIPS (2023)
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. Artif. Intell. 303 (2022)
Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher Pal
Overcoming challenges in leveraging GANs for few-shot data augmentation. CoLLAs (2022)
Oscar Mañas, Pau Rodríguez, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. CoRR (2022)
Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez
OCR-VQGAN: Taming Text-within-Image Generation. CoRR (2022)
Parichehr Behjati, Pau Rodríguez, Carles Fernández Tena, Armin Mehri, F. Xavier Roca, Seiichi Ozawa, Jordi Gonzàlez
Frequency-Based Enhancement Network for Efficient Super-Resolution. IEEE Access 10 (2022)
Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin
Continual Learning with Foundation Models: An Empirical Study of Latent Replay. CoLLAs (2022)
Sébastien Lachapelle, Pau Rodríguez, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA. CLeaR (2022)
Joao Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez
Constraining Representations Yields Models That Know What They Don't Know. CoRR (2022)
Pau Rodríguez, Guillem Cucurull, Jordi Gonzàlez, Josep M. Gonfaus, Kamal Nasrollahi, Thomas B. Moeslund, F. Xavier Roca
Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification. IEEE Trans. Cybern. 52 (5) (2022)
Diego A. Velázquez, Pau Rodríguez, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzalez
A Closer Look at Embedding Propagation for Manifold Smoothing. J. Mach. Learn. Res. 23 (2022)
Timothée Lesort, Oleksiy Ostapenko, Diganta Misra, Md Rifat Arefin, Pau Rodríguez, Laurent Charlin, Irina Rish
Scaling the Number of Tasks in Continual Learning. CoRR (2022)
Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher J. Pal
Challenges in leveraging GANs for few-shot data augmentation. CoRR (2022)
Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. ConvAI@ACL (2022)
Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, Joao Monteiro
CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. CoRR (2022)
Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville
Multi-label Iterated Learning for Image Classification with Label Ambiguity. CVPR (2022)
Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR (2022)
Sai Rajeswar, Issam Hadj Laradji, Pau Rodríguez, David Vázquez, Aaron C. Courville
Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. BMVC (2022)
Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin
Foundational Models for Continual Learning: An Empirical Study of Latent Replay. CoRR (2022)
Gaurav Sahu, Pau Rodríguez, Issam H. Laradji, Parmida Atighehchian, David Vázquez, Dzmitry Bahdanau
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. CoRR (2022)
Amine El Hattami, Stefania Raimondo, Issam H. Laradji, David Vázquez, Pau Rodríguez, Chris Pal
Workflow Discovery from Dialogues in the Low Data Regime. CoRR (2022)
Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. ICCVW (2021)
Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville
Multi-label Iterated Learning for Image Classification with Label Ambiguity. CoRR (2021)
Parichehr Behjati, Pau Rodríguez, Armin Mehri, Isabelle Hupont, Carles Fernández Tena, Jordi Gonzàlez
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network. WACV (2021)
Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. CoRR (2021)
Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vázquez, Pau Rodríguez
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. ICCV (2021)
Frédéric Branchaud-Charron, Parmida Atighehchian, Pau Rodríguez, Grace Abuhamad, Alexandre Lacoste
Can Active Learning Preemptively Mitigate Fairness Issues? CoRR (2021)
Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. ICCV (2021)
Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin
Continual Learning via Local Module Composition. CoRR (2021)
Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodríguez, Matthew D. Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, Timothée Lesort, Laurent Charlin, Irina Rish, Massimo Caccia
Sequoia: A Software Framework to Unify Continual Learning Research. CoRR (2021)
Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vázquez, Pau Rodríguez
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. CoRR (2021)
Diego A. Velázquez, Josep M. Gonfaus, Pau Rodríguez, F. Xavier Roca, Seiichi Ozawa, Jordi Gonzàlez
Logo Detection With No Priors. IEEE Access 9 (2021)
Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez
A Survey of Self-Supervised and Few-Shot Object Detection. CoRR (2021)
Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. CoRR (2021)
Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. WACV (2021)
Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodríguez, David Vázquez
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. CoRR (2021)
Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin
Continual Learning via Local Module Composition. NeurIPS (2021)
Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. CoRR (2020)
Pau Rodríguez, Diego Velazquez Dorta, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzàlez
Pay Attention to the Activations: A Modular Attention Mechanism for Fine-Grained Image Recognition. IEEE Trans. Multim. 22 (2) (2020)
Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. NeurIPS (2020)
Issam H. Laradji, Pau Rodríguez, Freddie Kalaitzis, David Vázquez, Ross Young, Ed Davey, Alexandre Lacoste
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery. CoRR (2020)
Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste
Embedding Propagation: Smoother Manifold for Few-Shot Classification. CoRR (2020)
Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez
LOOC: Localize Overlapping Objects with Count Supervision. CoRR (2020)
Alexandre Lacoste, Pau Rodríguez, Frédéric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam H. Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez
Synbols: Probing Learning Algorithms with Synthetic Datasets. CoRR (2020)
Issam H. Laradji, Alzayat Saleh, Pau Rodríguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, David Vázquez
Affinity LCFCN: Learning to Segment Fish with Weak Supervision. CoRR (2020)
Issam H. Laradji, Pau Rodríguez, Frederic Branchaud-Charron, Keegan Lensink, Parmida Atighehchian, William Parker, David Vázquez, Derek Nowrouzezahrai
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. CoRR (2020)
Parichehr Behjati, Pau Rodríguez, Armin Mehri, Isabelle Hupont, Carles Fernández Tena, Jordi Gonzàlez
Hierarchical Residual Attention Network for Single Image Super-Resolution. CoRR (2020)
Issam H. Laradji, Pau Rodríguez, Oscar Mañas, Keegan Lensink, Marco Law, Lironne Kurzman, William Parker, David Vázquez, Derek Nowrouzezahrai
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. CoRR (2020)
Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste
Embedding Propagation: Smoother Manifold for Few-Shot Classification. ECCV (26) (2020)
Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodríguez, Massimo Caccia, Qi She, Yu Chen, Quentin Jodelet, Ruiping Wang, Zheda Mai, David Vázquez, German Ignacio Parisi, Nikhil Churamani, Marc Pickett, Issam H. Laradji, Davide Maltoni
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions. CoRR (2020)
Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez
Looc: Localize Overlapping Objects with Count Supervision. ICIP (2020)
Parichehr Behjati, Pau Rodríguez, Armin Mehri, Isabelle Hupont, Jordi Gonzàlez, Carles Fernández Tena
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network. CoRR (2020)
Parichehr B. Ardakani, Diego Velazquez Dorta, Josep M. Gonfaus, Pau Rodríguez, F. Xavier Roca, Jordi Gonzàlez
Catastrophic Interference in Disguised Face Recognition. IbPRIA (2) (2019)
Pau Rodríguez, Josep M. Gonfaus, Guillem Cucurull, F. Xavier Roca, Jordi Gonzàlez
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery. CoRR (2018)
Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez, Sergio Escalera
Beyond One-hot Encoding: lower dimensional target embedding. CoRR (2018)
Guillem Cucurull, Pau Rodríguez, V. Oguz Yazici, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzàlez
Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks. CoRR (2018)
Pau Rodríguez, Josep M. Gonfaus, Guillem Cucurull, F. Xavier Roca, Jordi Gonzàlez
Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery. ECCV (8) (2018)
Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez, Sergio Escalera
Beyond one-hot encoding: Lower dimensional target embedding. Image Vis. Comput. 75 (2018)
Farhood Negin, Pau Rodríguez, Michal Koperski, Adlen Kerboua, Jordi Gonzàlez, Jeremy Bourgeois, Emmanuelle Chapoulie, Philippe Robert, François Brémond
PRAXIS: Towards automatic cognitive assessment using gesture recognition. Expert Syst. Appl. 106 (2018)
Pau Rodríguez, Jordi Gonzàlez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca
Regularizing CNNs with Locally Constrained Decorrelations. ICLR (Poster) (2017)
Pau Rodríguez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzàlez
Age and gender recognition in the wild with deep attention. Pattern Recognit. 72 (2017)
Marco Bellantonio, Mohammad A. Haque, Pau Rodríguez, Kamal Nasrollahi, Taisi Telve, Sergio Escarela, Jordi Gonzàlez, Thomas B. Moeslund, Pejman Rasti, Gholamreza Anbarjafari
Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images. VAAM/FFER@ICPR (2016)
Pau Rodríguez, Jordi Gonzàlez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca
Regularizing CNNs with Locally Constrained Decorrelations. CoRR (2016)