Guillem Cucurull

According to our database, Guillem Cucurull authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Nougat: Neural Optical Understanding for Academic Documents.

Lukas Blecher, Guillem Cucurull, Thomas Scialom, Robert Stojnic

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Llama 2: Open Foundation and Fine-Tuned Chat Models.

Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, Dan Bikel, Lukas Blecher, Cristian Canton-Ferrer, Moya Chen, Guillem Cucurull, David Esiobu, Jude Fernandes, Jeremy Fu, Wenyin Fu, Brian Fuller, Cynthia Gao, Vedanuj Goswami, Naman Goyal, Anthony Hartshorn, Saghar Hosseini, Rui Hou, Hakan Inan, Marcin Kardas, Viktor Kerkez, Madian Khabsa, Isabel Kloumann, Artem Korenev, Punit Singh Koura, Marie-Anne Lachaux, Thibaut Lavril, Jenya Lee, Diana Liskovich, Yinghai Lu, Yuning Mao, Xavier Martinet, Todor Mihaylov, Pushkar Mishra, Igor Molybog, Yixin Nie, Andrew Poulton, Jeremy Reizenstein, Rashi Rungta, Kalyan Saladi, Alan Schelten, Ruan Silva, Eric Michael Smith, Ranjan Subramanian, Xiaoqing Ellen Tan, Binh Tang, Ross Taylor, Adina Williams, Jian Xiang Kuan, Puxin Xu, Zheng Yan, Iliyan Zarov, Yuchen Zhang, Angela Fan, Melanie Kambadur, Sharan Narang, Aurélien Rodriguez, Robert Stojnic, Sergey Edunov, Thomas Scialom

CoRR, 2023

2022

Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification.

Pau Rodríguez, Guillem Cucurull, Jordi Gonzàlez, Josep M. Gonfaus, Kamal Nasrollahi, Thomas B. Moeslund, F. Xavier Roca

IEEE Trans. Cybern., 2022

Galactica: A Large Language Model for Science.

Ross Taylor, Marcin Kardas, Guillem Cucurull, Thomas Scialom, Anthony Hartshorn, Elvis Saravia, Andrew Poulton, Viktor Kerkez, Robert Stojnic

CoRR, 2022

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

IEEE Trans. Multim., 2020

2019

Context-Aware Visual Compatibility Prediction.

Guillem Cucurull, Perouz Taslakian, David Vázquez

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

CoRR, 2018

Graph Attention Networks.

Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio

Proceedings of the 6th International Conference on Learning Representations, 2018

Attend and Rectify: A Gated Attention Mechanism for Fine-Grained Recovery.

Pau Rodríguez, Josep M. Gonfaus, Guillem Cucurull, F. Xavier Roca, Jordi Gonzàlez

Proceedings of the Computer Vision - ECCV 2018, 2018

On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation.

Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Age and gender recognition in the wild with deep attention.

Pau Rodríguez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca, Jordi Gonzàlez

Pattern Recognit., 2017

Regularizing CNNs with Locally Constrained Decorrelations.

Pau Rodríguez, Jordi Gonzàlez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca

Proceedings of the 5th International Conference on Learning Representations, 2017