Pedro M. Esperança

According to our database, Pedro M. Esperança authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Manas: multi-agent neural architecture search.

Vasco Lopes, Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Antoine Yang, Victor Gabillon, Hang Xu, Zewei Chen, Jun Wang

Mach. Learn., January, 2024

2022

Approximate Neural Architecture Search via Operation Distribution Learning.

Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

On Redundancy and Diversity in Cell-based Neural Architecture Search.

Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Long-tail Recognition via Compositional Knowledge Transfer.

Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family.

Roy Henha Eyono, Fabio Maria Carlucci, Pedro M. Esperança, Binxin Ru, Philip H. S. Torr

CoRR, 2021

2020

Batch Group Normalization.

Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro M. Esperança, Guang-Zhong Yang, Zhenguo Li

CoRR, 2020

Neural Architecture Generator Optimization.

Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci

CoRR, 2020

Neural Architecture Generator Optimization.

Robin Ru, Pedro M. Esperança, Fabio Maria Carlucci

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

NAS evaluation is frustratingly hard.

Antoine Yang, Pedro M. Esperança, Fabio Maria Carlucci

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

MANAS: Multi-Agent Neural Architecture Search.

Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Victor Gabillon, Antoine Yang, Hang Xu, Zewei Chen, Jun Wang

CoRR, 2019

2017

Encrypted Accelerated Least Squares Regression.

Pedro M. Esperança, Louis J. M. Aslett, Chris C. Holmes

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2015

Encrypted statistical machine learning: new privacy preserving methods.

Louis J. M. Aslett, Pedro M. Esperança, Chris C. Holmes

CoRR, 2015

A review of homomorphic encryption and software tools for encrypted statistical machine learning.

Louis J. M. Aslett, Pedro M. Esperança, Chris C. Holmes

CoRR, 2015