Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images. - Marco Bellantonio; Mohammad A. Haque; Pau Rodríguez; Kamal Nasrollahi; Taisi Telve; Sergio Escalera; Jordi Gonzàlez 001; Thomas B. Moeslund; Pejman Rasti; Gholamreza Anbarjafari (VAAM/FFER@ICPR, 2016)

Regularizing CNNs with Locally Constrained Decorrelations. - Pau Rodríguez; Jordi Gonzàlez 001; Guillem Cucurull; Josep M. Gonfaus; F. Xavier Roca (ICLR (Poster), 2017)

Age and gender recognition in the wild with deep attention. - Pau Rodríguez; Guillem Cucurull; Josep M. Gonfaus; F. Xavier Roca; Jordi Gonzàlez 001 (Pattern Recognit., 2017)

Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery. - Pau Rodríguez; Josep M. Gonfaus; Guillem Cucurull; F. Xavier Roca; Jordi Gonzàlez 001 (ECCV (8), 2018)

TADAM: Task dependent adaptive metric for improved few-shot learning. - Boris N. Oreshkin; Pau Rodríguez López; Alexandre Lacoste (NeurIPS, 2018)

Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks. - Guillem Cucurull; Pau Rodríguez; V. Oguz Yazici; Josep M. Gonfaus; F. Xavier Roca; Jordi Gonzàlez 001 (CoRR, 2018)

PRAXIS: Towards automatic cognitive assessment using gesture recognition. - Farhood Negin; Pau Rodríguez; Michal Koperski; Adlen Kerboua; Jordi Gonzàlez 001; Jeremy Bourgeois; Emmanuelle Chapoulie; Philippe Robert; François Brémond (Expert Syst. Appl., 2018)

Beyond one-hot encoding: Lower dimensional target embedding. - Pau Rodríguez; Miguel Ángel Bautista 001; Jordi Gonzàlez 001; Sergio Escalera (Image Vis. Comput., 2018)

Catastrophic Interference in Disguised Face Recognition. - Parichehr B. Ardakani; Diego Velazquez Dorta; Josep M. Gonfaus; Pau Rodríguez; F. Xavier Roca; Jordi Gonzàlez 001 (IbPRIA (2), 2019)

Towards robust neural models for fine-grained image recognition. - Pau Rodríguez (2019)

Embedding Propagation: Smoother Manifold for Few-Shot Classification. - Pau Rodríguez; Issam H. Laradji; Alexandre Drouin; Alexandre Lacoste (ECCV (26), 2020)

Looc: Localize Overlapping Objects with Count Supervision. - Issam H. Laradji; Rafael Pardinas; Pau Rodríguez; David Vázquez 001 (ICIP, 2020)

Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. - Massimo Caccia; Pau Rodríguez; Oleksiy Ostapenko; Fabrice Normandin; Min Lin; Lucas Page-Caccia; Issam Hadj Laradji; Irina Rish; Alexandre Lacoste; David Vázquez 001; Laurent Charlin (NeurIPS, 2020)

Synbols: Probing Learning Algorithms with Synthetic Datasets. - Alexandre Lacoste; Pau Rodríguez López; Frederic Branchaud-Charron; Parmida Atighehchian; Massimo Caccia; Issam Hadj Laradji; Alexandre Drouin; Matt Craddock; Laurent Charlin; David Vázquez 001 (NeurIPS, 2020)

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. - Massimo Caccia; Pau Rodríguez; Oleksiy Ostapenko; Fabrice Normandin; Min Lin; Lucas Caccia; Issam H. Laradji; Irina Rish; Alexandre Lacoste; David Vázquez 001; Laurent Charlin (CoRR, 2020)

A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images. - Issam H. Laradji; Pau Rodríguez; Frederic Branchaud-Charron; Keegan Lensink; Parmida Atighehchian; William Parker; David Vázquez 001; Derek Nowrouzezahrai (CoRR, 2020)

Affinity LCFCN: Learning to Segment Fish with Weak Supervision. - Issam H. Laradji; Alzayat Saleh; Pau Rodríguez; Derek Nowrouzezahrai; Mostafa Rahimi Azghadi; David Vázquez 001 (CoRR, 2020)

Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery. - Issam H. Laradji; Pau Rodríguez; Freddie Kalaitzis; David Vázquez 001; Ross Young; Ed Davey; Alexandre Lacoste (CoRR, 2020)

Hierarchical Residual Attention Network for Single Image Super-Resolution. - Parichehr Behjati; Pau Rodríguez; Armin Mehri; Isabelle Hupont; Carles Fernández Tena; Jordi Gonzàlez 001 (CoRR, 2020)

Pay Attention to the Activations: A Modular Attention Mechanism for Fine-Grained Image Recognition. - Pau Rodríguez; Diego Velazquez Dorta; Guillem Cucurull; Josep M. Gonfaus; F. Xavier Roca; Jordi Gonzàlez 001 (IEEE Trans. Multim., 2020)

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. - Oscar Mañas; Alexandre Lacoste; Xavier Giró-i-Nieto; David Vázquez 001; Pau Rodríguez (ICCV, 2021)

Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. - Pau Rodríguez; Massimo Caccia; Alexandre Lacoste; Lee Zamparo; Issam H. Laradji; Laurent Charlin; David Vázquez 001 (ICCV, 2021)

SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. - Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Derek Nowrouzezahrai (ICCVW, 2021)

Continual Learning via Local Module Composition. - Oleksiy Ostapenko; Pau Rodríguez; Massimo Caccia; Laurent Charlin (NeurIPS, 2021)

OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network. - Parichehr Behjati; Pau Rodríguez; Armin Mehri; Isabelle Hupont; Carles Fernández Tena; Jordi Gonzàlez 001 (WACV, 2021)

A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images. - Issam H. Laradji; Pau Rodríguez; Oscar Mañas; Keegan Lensink; Marco Law; Lironne Kurzman; William Parker; David Vázquez 001; Derek Nowrouzezahrai (WACV, 2021)

Logo Detection With No Priors. - Diego A. Velázquez; Josep M. Gonfaus; Pau Rodríguez; F. Xavier Roca; Seiichi Ozawa; Jordi Gonzàlez 001 (IEEE Access, 2021)

Can Active Learning Preemptively Mitigate Fairness Issues? - Frédéric Branchaud-Charron; Parmida Atighehchian; Pau Rodríguez; Grace Abuhamad; Alexandre Lacoste (CoRR, 2021)

Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA. - Sébastien Lachapelle; Pau Rodríguez López; Rémi Le Priol; Alexandre Lacoste; Simon Lacoste-Julien (CoRR, 2021)

Sequoia: A Software Framework to Unify Continual Learning Research. - 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; et al. (CoRR, 2021)

Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark. - 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 001 (CoRR, 2021)

Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. - Gaurav Sahu; Pau Rodríguez; Issam H. Laradji; Parmida Atighehchian; David Vázquez 001; Dzmitry Bahdanau (ConvAI@ACL, 2022)

Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. - Sai Rajeswar; Issam Hadj Laradji; Pau Rodríguez; David Vázquez 001; Aaron C. Courville (BMVC, 2022)

Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA. - Sébastien Lachapelle; Pau Rodríguez; Yash Sharma 001; Katie Everett; Rémi Le Priol; Alexandre Lacoste; Simon Lacoste-Julien (CLeaR, 2022)

Overcoming challenges in leveraging GANs for few-shot data augmentation. - Christopher Beckham; Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Derek Nowrouzezahrai; Christopher Pal (CoLLAs, 2022)

Continual Learning with Foundation Models: An Empirical Study of Latent Replay. - Oleksiy Ostapenko; Timothée Lesort; Pau Rodríguez; Md Rifat Arefin; Arthur Douillard; Irina Rish; Laurent Charlin (CoLLAs, 2022)

Multi-label Iterated Learning for Image Classification with Label Ambiguity. - Sai Rajeswar; Pau Rodríguez; Soumye Singhal; David Vázquez 001; Aaron C. Courville (CVPR, 2022)

Frequency-Based Enhancement Network for Efficient Super-Resolution. - Parichehr Behjati; Pau Rodríguez; Carles Fernández Tena; Armin Mehri; F. Xavier Roca; Seiichi Ozawa; Jordi Gonzàlez 001 (IEEE Access, 2022)

CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. - Vincenzo Lomonaco; Lorenzo Pellegrini; Pau Rodríguez; Massimo Caccia; Qi She; Yu Chen; Quentin Jodelet; Ruiping Wang 001; Zheda Mai; David Vázquez 001; German Ignacio Parisi; Nikhil Churamani; et al. (Artif. Intell., 2022)

Challenges in leveraging GANs for few-shot data augmentation. - Christopher Beckham; Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Derek Nowrouzezahrai; Christopher J. Pal (CoRR, 2022)

Foundational Models for Continual Learning: An Empirical Study of Latent Replay. - Oleksiy Ostapenko; Timothée Lesort; Pau Rodríguez; Md Rifat Arefin; Arthur Douillard; Irina Rish; Laurent Charlin (CoRR, 2022)

Scaling the Number of Tasks in Continual Learning. - Timothée Lesort; Oleksiy Ostapenko; Diganta Misra; Md Rifat Arefin; Pau Rodríguez; Laurent Charlin; Irina Rish (CoRR, 2022)

CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. - Charles Guille-Escuret; Pau Rodríguez; David Vázquez 001; Ioannis Mitliagkas; João Monteiro 002 (CoRR, 2022)

3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. - Lorenzo Pellegrini; Chenchen Zhu; Fanyi Xiao; Zhicheng Yan 001; Antonio Carta; Matthias De Lange; Vincenzo Lomonaco; Roshan Sumbaly; Pau Rodríguez; David Vázquez 001 (CoRR, 2022)

A Closer Look at Embedding Propagation for Manifold Smoothing. - Diego A. Velázquez; Pau Rodríguez; Josep M. Gonfaus; F. Xavier Roca; Jordi Gonzàlez 001 (J. Mach. Learn. Res., 2022)

Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification. - Pau Rodríguez; Guillem Cucurull; Jordi Gonzàlez 001; Josep M. Gonfaus; Kamal Nasrollahi; Thomas B. Moeslund; F. Xavier Roca (IEEE Trans. Cybern., 2022)

From IID to the Independent Mechanisms assumption in continual learning. - Oleksiy Ostapenko; Pau Rodríguez; Alexandre Lacoste; Laurent Charlin (AAAI Bridge Program, 2023)

Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation. - Timothée Lesort; Oleksiy Ostapenko; Pau Rodríguez; Diganta Misra; Md Rifat Arefin; Laurent Charlin; Irina Rish (CoLLAs, 2023)

MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. - Oscar Mañas; Pau Rodríguez López; Saba Ahmadi; Aida Nematzadeh; Yash Goyal; Aishwarya Agrawal (EACL, 2023)

Constraining Representations Yields Models That Know What They Don't Know. - João Monteiro 002; Pau Rodríguez; Pierre-André Noël; Issam H. Laradji; David Vázquez 001 (ICLR, 2023)

FigGen: Text to Scientific Figure Generation. - Juan A. Rodríguez; David Vázquez 001; Issam H. Laradji; Marco Pedersoli; Pau Rodríguez (Tiny Papers @ ICLR, 2023)

The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. - Borja Rodríguez Gálvez; Arno Blaas; Pau Rodríguez; Adam Golinski; Xavier Suau; Jason Ramapuram; Dan Busbridge; Luca Zappella (ICML, 2023)

DeepPCR: Parallelizing Sequential Operations in Neural Networks. - Federico Danieli; Miguel Sarabia; Xavier Suau Cuadros; Pau Rodríguez; Luca Zappella (NeurIPS, 2023)

CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. - Charles Guille-Escuret; Pau Rodríguez; David Vázquez 001; Ioannis Mitliagkas; João Monteiro 002 (NeurIPS, 2023)

GEO-Bench: Toward Foundation Models for Earth Monitoring. - 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; et al. (NeurIPS, 2023)

Group Robust Classification Without Any Group Information. - Christos Tsirigotis; João Monteiro 002; Pau Rodríguez; David Vázquez 001; Aaron C. Courville (NeurIPS, 2023)

OCR-VQGAN: Taming Text-within-Image Generation. - Juan A. Rodríguez; David Vázquez 001; Issam H. Laradji; Marco Pedersoli; Pau Rodríguez (WACV, 2023)

Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. - Nicolas Gontier; Pau Rodríguez; Issam H. Laradji; David Vázquez 001; Christopher Pal (CoRR, 2023)

Robust multimodal models have outlier features and encode more concepts. - Jonathan Crabbé; Pau Rodríguez; Vaishaal Shankar; Luca Zappella; Arno Blaas (CoRR, 2023)

OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning. - Rim Assouel; Pau Rodríguez; Perouz Taslakian; David Vázquez 001; Yoshua Bengio (CoRR, 2023)

StarVector: Generating Scalable Vector Graphics Code from Images. - Juan A. Rodríguez; Shubham Agarwal; Issam H. Laradji; Pau Rodríguez; David Vázquez 001; Christopher Pal; Marco Pedersoli (CoRR, 2023)

Single image super-resolution based on directional variance attention network. - Parichehr Behjati; Pau Rodríguez; Carles Fernández; Isabelle Hupont; Armin Mehri; Jordi Gonzàlez 001 (Pattern Recognit., 2023)

Workflow Discovery from Dialogues in the Low Data Regime. - Amine El Hattami; Issam H. Laradji; Stefania Raimondo; David Vázquez 001; Pau Rodríguez; Christopher Pal (Trans. Mach. Learn. Res., 2023)

Explaining Visual Counterfactual Explainers. - Diego A. Velázquez; Pau Rodríguez; Alexandre Lacoste; Issam H. Laradji; F. Xavier Roca; Jordi Gonzàlez 001 (Trans. Mach. Learn. Res., 2023)

A Survey of Self-Supervised and Few-Shot Object Detection. - Gabriel Huang; Issam H. Laradji; David Vázquez 001; Simon Lacoste-Julien; Pau Rodríguez (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Continual Learning of Diffusion Models with Generative Distillation. - Sergi Masip; Pau Rodríguez; Tinne Tuytelaars; Gido M. van de Ven (CoLLAs, 2024)

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. - Xavier Suau; Pieter Delobelle; Katherine Metcalf; Armand Joulin; Nicholas Apostoloff; Luca Zappella; Pau Rodríguez (ICML, 2024)

Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies. - Sébastien Lachapelle; Pau Rodríguez López; Yash Sharma 001; Katie Everett; Rémi Le Priol; Alexandre Lacoste; Simon Lacoste-Julien (CoRR, 2024)

Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts. - Jonathan Crabbé; Pau Rodríguez; Vaishaal Shankar; Luca Zappella; Arno Blaas (Trans. Mach. Learn. Res., 2024)

StarVector: Generating Scalable Vector Graphics Code from Images and Text. - Juan A. Rodríguez; Abhay Puri; Shubham Agarwal; Issam H. Laradji; Pau Rodríguez; Sai Rajeswar; David Vázquez 001; Christopher Pal; Marco Pedersoli (CVPR, 2025)

Controlling Language and Diffusion Models by Transporting Activations. - Pau Rodríguez; Arno Blaas; Michal Klein; Luca Zappella; Nicholas Apostoloff; Marco Cuturi; Xavier Suau (ICLR, 2025)

EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision. - Diego A. Velázquez; Pau Rodríguez López; Sergio Alonso; Josep M. Gonfaus; Jordi Gonzàlez 001; Gerardo Richarte; Javier Marin; Yoshua Bengio; Alexandre Lacoste (WACV (Workshops), 2025)

End-to-end Learning of Sparse Interventions on Activations to Steer Generation. - Pau Rodríguez; Michal Klein; Eleonora Gualdoni; Arno Blaas; Luca Zappella; Marco Cuturi; Xavier Suau (CoRR, 2025)

Understanding Input Selectivity in Mamba: Impact on Approximation Power, Memorization, and Associative Recall Capacity. - Ningyuan Huang; Miguel Sarabia; Abhinav Moudgil; Pau Rodríguez; Luca Zappella; Federico Danieli (CoRR, 2025)