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2020 – today
- 2024
[c33]Xavier Suau, Pieter Delobelle, Katherine Metcalf, Armand Joulin, Nicholas Apostoloff, Luca Zappella, Pau Rodríguez:
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. ICML 2024- [i49]Sébastien Lachapelle, Pau Rodríguez López, Yash Sharma, Katie Everett, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien:
Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies. CoRR abs/2401.04890 (2024) - [i48]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 abs/2407.12824 (2024) - 2023
- [j13]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): 4071-4089 (2023) - [j12]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: 108997 (2023) - [j11]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) - [j10]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) - [c32]Oleksiy Ostapenko, Pau Rodríguez, Alexandre Lacoste, Laurent Charlin:
From IID to the Independent Mechanisms assumption in continual learning. AAAI Bridge Program 2023: 25-29 - [c31]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: 43-65 - [c30]Oscar Mañas, Pau Rodríguez López, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal:
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. EACL 2023: 2515-2540 - [c29]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 - [c28]Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
FigGen: Text to Scientific Figure Generation. Tiny Papers @ ICLR 2023 - [c27]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: 29143-29160 - [c26]Federico Danieli, Miguel Sarabia, Xavier Suau Cuadros, Pau Rodríguez, Luca Zappella:
DeepPCR: Parallelizing Sequential Operations in Neural Networks. NeurIPS 2023 - [c25]Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro:
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning. NeurIPS 2023 - [c24]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 - [c23]Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville:
Group Robust Classification Without Any Group Information. NeurIPS 2023 - [c22]Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
OCR-VQGAN: Taming Text-within-Image Generation. WACV 2023: 3678-3687 - [i47]Nicolas Gontier, Pau Rodríguez, Issam H. Laradji, David Vázquez, Christopher Pal:
Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments. CoRR abs/2302.05507 (2023) - [i46]Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
FigGen: Text to Scientific Figure Generation. CoRR abs/2306.00800 (2023) - [i45]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 abs/2306.03831 (2023) - [i44]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 abs/2307.10907 (2023) - [i43]Federico Danieli, Miguel Sarabia, Xavier Suau, Pau Rodríguez, Luca Zappella:
DeepPCR: Parallelizing Sequential Operations in Neural Networks. CoRR abs/2309.16318 (2023) - [i42]Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas:
Robust multimodal models have outlier features and encode more concepts. CoRR abs/2310.13040 (2023) - [i41]Christos Tsirigotis, João Monteiro, Pau Rodríguez, David Vázquez, Aaron C. Courville:
Group Robust Classification Without Any Group Information. CoRR abs/2310.18555 (2023) - [i40]Rim Assouel, Pau Rodríguez, Perouz Taslakian, David Vázquez, Yoshua Bengio:
OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning. CoRR abs/2310.18807 (2023) - [i39]Sergi Masip, Pau Rodríguez, Tinne Tuytelaars, Gido M. van de Ven:
Continual Learning of Diffusion Models with Generative Distillation. CoRR abs/2311.14028 (2023) - [i38]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 abs/2312.11556 (2023) - 2022
- [j9]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: 57383-57397 (2022) - [j8]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: 103635 (2022) - [j7]Diego A. Velázquez, Pau Rodríguez, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzàlez:
A Closer Look at Embedding Propagation for Manifold Smoothing. J. Mach. Learn. Res. 23: 252:1-252:27 (2022) - [j6]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): 3314-3324 (2022) - [c21]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: 47-57 - [c20]Sai Rajeswar, Issam Hadj Laradji, Pau Rodríguez, David Vázquez, Aaron C. Courville:
Consistency-CAM: Towards Improved Weakly Supervised Semantic Segmentation. BMVC 2022: 644 - [c19]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: 428-484 - [c18]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: 60-91 - [c17]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: 255-280 - [c16]Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville:
Multi-label Iterated Learning for Image Classification with Label Ambiguity. CVPR 2022: 4773-4783 - [i37]Christopher Beckham, Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai, Christopher J. Pal:
Challenges in leveraging GANs for few-shot data augmentation. CoRR abs/2203.16662 (2022) - [i36]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 abs/2204.01959 (2022) - [i35]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 abs/2205.00329 (2022) - [i34]Amine El Hattami, Stefania Raimondo, Issam H. Laradji, David Vázquez, Pau Rodríguez, Chris Pal:
Workflow Discovery from Dialogues in the Low Data Regime. CoRR abs/2205.11690 (2022) - [i33]Timothée Lesort, Oleksiy Ostapenko, Diganta Misra, Md Rifat Arefin, Pau Rodríguez, Laurent Charlin, Irina Rish:
Scaling the Number of Tasks in Continual Learning. CoRR abs/2207.04543 (2022) - [i32]João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez:
Constraining Representations Yields Models That Know What They Don't Know. CoRR abs/2208.14488 (2022) - [i31]Charles Guille-Escuret, Pau Rodríguez, David Vázquez, Ioannis Mitliagkas, João Monteiro:
CADet: Fully Self-Supervised Anomaly Detection With Contrastive Learning. CoRR abs/2210.01742 (2022) - [i30]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 abs/2210.07179 (2022) - [i29]Juan A. Rodriguez, David Vázquez, Issam H. Laradji, Marco Pedersoli, Pau Rodríguez:
OCR-VQGAN: Taming Text-within-Image Generation. CoRR abs/2210.11248 (2022) - [i28]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 abs/2212.06833 (2022) - 2021
- [j5]Diego A. Velázquez, Josep M. Gonfaus, Pau Rodríguez, F. Xavier Roca, Seiichi Ozawa, Jordi Gonzàlez:
Logo Detection With No Priors. IEEE Access 9: 106998-107011 (2021) - [c15]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: 1036-1045 - [c14]Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vázquez, Pau Rodríguez:
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. ICCV 2021: 9394-9403 - [c13]Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai:
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. ICCVW 2021: 1427-1436 - [c12]Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin:
Continual Learning via Local Module Composition. NeurIPS 2021: 30298-30312 - [c11]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: 2452-2461 - [c10]Parichehr Behjati, Pau Rodríguez, Armin Mehri, Isabelle Hupont, Carles Fernández Tena, Jordi Gonzàlez:
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network. WACV 2021: 2693-2702 - [i27]Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez:
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. CoRR abs/2103.10226 (2021) - [i26]Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vázquez, Pau Rodríguez:
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. CoRR abs/2103.16607 (2021) - [i25]Frédéric Branchaud-Charron, Parmida Atighehchian, Pau Rodríguez, Grace Abuhamad, Alexandre Lacoste:
Can Active Learning Preemptively Mitigate Fairness Issues? CoRR abs/2104.06879 (2021) - [i24]Sébastien Lachapelle, Pau Rodríguez López, Rémi Le Priol, Alexandre Lacoste, Simon Lacoste-Julien:
Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA. CoRR abs/2107.10098 (2021) - [i23]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 abs/2108.01005 (2021) - [i22]Issam H. Laradji, Pau Rodríguez, David Vázquez, Derek Nowrouzezahrai:
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction. CoRR abs/2108.09593 (2021) - [i21]Gabriel Huang, Issam H. Laradji, David Vázquez, Simon Lacoste-Julien, Pau Rodríguez:
A Survey of Self-Supervised and Few-Shot Object Detection. CoRR abs/2110.14711 (2021) - [i20]Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin:
Continual Learning via Local Module Composition. CoRR abs/2111.07736 (2021) - [i19]Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville:
Multi-label Iterated Learning for Image Classification with Label Ambiguity. CoRR abs/2111.12172 (2021) - [i18]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 abs/2112.00570 (2021) - 2020
- [j4]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): 502-514 (2020) - [c9]Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste:
Embedding Propagation: Smoother Manifold for Few-Shot Classification. ECCV (26) 2020: 121-138 - [c8]Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez:
Looc: Localize Overlapping Objects with Count Supervision. ICIP 2020: 2316-2320 - [c7]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 - [c6]Alexandre Lacoste, Pau Rodríguez López, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matt Craddock, Laurent Charlin, David Vázquez:
Synbols: Probing Learning Algorithms with Synthetic Datasets. NeurIPS 2020 - [i17]Pau Rodríguez, Issam H. Laradji, Alexandre Drouin, Alexandre Lacoste:
Embedding Propagation: Smoother Manifold for Few-Shot Classification. CoRR abs/2003.04151 (2020) - [i16]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 abs/2003.05856 (2020) - [i15]Issam H. Laradji, Rafael Pardinas, Pau Rodríguez, David Vázquez:
LOOC: Localize Overlapping Objects with Count Supervision. CoRR abs/2007.01837 (2020) - [i14]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 abs/2007.02180 (2020) - [i13]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 abs/2007.07012 (2020) - [i12]Parichehr Behjati, Pau Rodríguez, Armin Mehri, Isabelle Hupont, Jordi Gonzàlez, Carles Fernández Tena:
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network. CoRR abs/2008.02382 (2020) - [i11]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 abs/2009.06415 (2020) - [i10]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 abs/2009.09929 (2020) - [i9]Issam H. Laradji, Alzayat Saleh, Pau Rodríguez, Derek Nowrouzezahrai, Mostafa Rahimi Azghadi, David Vázquez:
Affinity LCFCN: Learning to Segment Fish with Weak Supervision. CoRR abs/2011.03149 (2020) - [i8]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 abs/2011.07369 (2020) - [i7]Parichehr Behjati, Pau Rodríguez, Armin Mehri, Isabelle Hupont, Carles Fernández Tena, Jordi Gonzàlez:
Hierarchical Residual Attention Network for Single Image Super-Resolution. CoRR abs/2012.04578 (2020)
2010 – 2019
- 2019
- [b1]Pau Rodríguez:
Towards robust neural models for fine-grained image recognition. Autonomous University of Barcelona, Spain, 2019 - [c5]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: 64-75 - [i6]Pau Rodríguez López, 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. CoRR abs/1907.13075 (2019) - 2018
- [j3]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: 21-35 (2018) - [j2]Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez, Sergio Escalera:
Beyond one-hot encoding: Lower dimensional target embedding. Image Vis. Comput. 75: 21-31 (2018) - [c4]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: 357-372 - [c3]Boris N. Oreshkin, Pau Rodríguez López, Alexandre Lacoste:
TADAM: Task dependent adaptive metric for improved few-shot learning. NeurIPS 2018: 719-729 - [i5]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 abs/1802.06757 (2018) - [i4]Boris N. Oreshkin, Pau Rodríguez López, Alexandre Lacoste:
TADAM: Task dependent adaptive metric for improved few-shot learning. CoRR abs/1805.10123 (2018) - [i3]Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez, Sergio Escalera:
Beyond One-hot Encoding: lower dimensional target embedding. CoRR abs/1806.10805 (2018) - [i2]Pau Rodríguez, Josep M. Gonfaus, Guillem Cucurull, F. Xavier Roca, Jordi Gonzàlez:
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery. CoRR abs/1807.07320 (2018) - 2017
- [j1]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: 563-571 (2017) - [c2]Pau Rodríguez, Jordi Gonzàlez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca:
Regularizing CNNs with Locally Constrained Decorrelations. ICLR (Poster) 2017 - 2016
- [c1]Marco Bellantonio, Mohammad A. Haque, Pau Rodríguez, Kamal Nasrollahi, Taisi Telve, Sergio Escalera, Jordi Gonzàlez, Thomas B. Moeslund, Pejman Rasti, Gholamreza Anbarjafari:
Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images. VAAM/FFER@ICPR 2016: 151-162 - [i1]Pau Rodríguez, Jordi Gonzàlez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca:
Regularizing CNNs with Locally Constrained Decorrelations. CoRR abs/1611.01967 (2016)
Coauthor Index
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the dblp computer science bibliography is funded and supported by:
