Pedro M. Esperança

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Homomorphic Encryption

Knowledge Transfer

Neural Architecture

Top Venues

Publications

Vasco Lopes, Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Antoine Yang, Victor Gabillon, Hang Xu, Zewei Chen, Jun Wang
Manas: multi-agent neural architecture search. Mach. Learn. 113 (1) (2024)
Hayder Elesedy, Pedro M. Esperança, Silviu Vlad Oprea, Mete Ozay
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models. CoRR (2024)
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li
On Redundancy and Diversity in Cell-based Neural Architecture Search. CoRR (2022)
Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
Long-tail Recognition via Compositional Knowledge Transfer. CVPR (2022)
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li
On Redundancy and Diversity in Cell-based Neural Architecture Search. ICLR (2022)
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci
Approximate Neural Architecture Search via Operation Distribution Learning. WACV (2022)
Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li
Long-tail Recognition via Compositional Knowledge Transfer. CoRR (2021)
Roy Henha Eyono, Fabio Maria Carlucci, Pedro M. Esperança, Binxin Ru, Phillip Torr
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family. CoRR (2021)
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci
Approximate Neural Architecture Search via Operation Distribution Learning. CoRR (2021)
Antoine Yang, Pedro M. Esperança, Fabio Maria Carlucci
NAS evaluation is frustratingly hard. ICLR (2020)
Binxin Ru, Pedro M. Esperança, Fabio Maria Carlucci
Neural Architecture Generator Optimization. CoRR (2020)
Robin Ru, Pedro M. Esperança, Fabio Maria Carlucci
Neural Architecture Generator Optimization. NeurIPS (2020)
Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro M. Esperança, Guang-Zhong Yang, Zhenguo Li
Batch Group Normalization. CoRR (2020)
Antoine Yang, Pedro M. Esperança, Fabio Maria Carlucci
NAS evaluation is frustratingly hard. CoRR (2019)
Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Victor Gabillon, Antoine Yang, Hang Xu, Zewei Chen, Jun Wang
MANAS: Multi-Agent Neural Architecture Search. CoRR (2019)
Pedro M. Esperança, Louis J. M. Aslett, Chris C. Holmes
Encrypted Accelerated Least Squares Regression. AISTATS (2017)
Pedro M. Esperança, Louis J. M. Aslett, Chris C. Holmes
Encrypted accelerated least squares regression. CoRR (2017)
Louis J. M. Aslett, Pedro M. Esperança, Chris C. Holmes
Encrypted statistical machine learning: new privacy preserving methods. CoRR (2015)
Louis J. M. Aslett, Pedro M. Esperança, Chris C. Holmes
A review of homomorphic encryption and software tools for encrypted statistical machine learning. CoRR (2015)