NAS evaluation is frustratingly hard A Yang, PM Esperança, FM Carlucci International Conference on Learning Representations (ICLR 2020), 2019 | 198 | 2019 |
A review of homomorphic encryption and software tools for encrypted statistical machine learning LJM Aslett, PM Esperança, CC Holmes arXiv:1508.06574, 2015 | 105 | 2015 |
Encrypted statistical machine learning: new privacy preserving methods LJM Aslett, PM Esperança, CC Holmes arXiv:1508.06845, 2015 | 93 | 2015 |
Neural Architecture Generator Optimization B Ru, P Esperanca, F Carlucci Neural Information Processing Systems (NeurIPS 2020), 2020 | 47 | 2020 |
Detection of Plasmodium berghei infected Anopheles stephensi using near-infrared spectroscopy PM Esperança, AM Blagborough, DF Da, FE Dowell, TS Churcher Parasites & vectors 11, 377, 2018 | 38 | 2018 |
MANAS: Multi-agent neural architecture search V Lopes, FM Carlucci, PM Esperança, M Singh, V Gabillon, A Yang, H Xu, ... Machine Learning, 2023, 2023 | 29* | 2023 |
Long-tail Recognition via Compositional Knowledge Transfer S Parisot, PM Esperanca, S McDonagh, TJ Madarasz, Y Yang, Z Li Computer Vision and Pattern Recognition (CVPR 2022), 2022 | 26 | 2022 |
Encrypted accelerated least squares regression P Esperanca, L Aslett, C Holmes Artificial Intelligence and Statistics (AISTATS 2017), 2017 | 26 | 2017 |
On Redundancy and Diversity in Cell-based Neural Architecture Search X Wan, B Ru, PM Esperança, Z Li International Conference on Learning Representations (ICLR 2022), 2022 | 20 | 2022 |
Ability of near-infrared spectroscopy and chemometrics to predict the age of mosquitoes reared under different conditions OTW Ong, EA Kho, PM Esperança, C Freebairn, FE Dowell, GJ Devine, ... Parasites & vectors 13, 160, 2020 | 20 | 2020 |
Evaluating the forecast quality of GDP components: An application to G7 P Júlio, P Esperanca GEE papers 47, 2012 | 16 | 2012 |
Detection of Plasmodium falciparum in laboratory-reared and naturally infected wild mosquitoes using near-infrared spectroscopy DF Da, R McCabe, BM Somé, PM Esperança, KA Sala, J Blight, ... Scientific Reports 11 (1), 10289, 2021 | 14 | 2021 |
Batch Group Normalization XY Zhou, J Sun, N Ye, X Lan, Q Luo, BL Lai, P Esperanca, GZ Yang, Z Li arXiv:2012.02782, 2020 | 13 | 2020 |
Approximate Neural Architecture Search via Operation Distribution Learning X Wan, B Ru, PM Esparança, FM Carlucci Winter Conference on Applications of Computer Vision (WACV 2022), 2022 | 9 | 2022 |
Functional data analysis techniques to improve the generalizability of near-infrared spectral data for monitoring mosquito populations PM Esperança, DF Da, B Lambert, RK Dabiré, TS Churcher BioRxiv, 2020 | 6 | 2020 |
Advances in neural information processing systems R Ru, P Esperanca, FM Carlucci Adv. Neural Inf. Process. Syst 33, 12057-12069, 2020 | 5 | 2020 |
Labor adjustment dynamics: An application of system GMM P Esperança GEE Papers 43, 2011 | 5 | 2011 |
Evaluating the forecast quality of GDP components P Júlio, PM Esperança, JC Fonseca GEE Papers 41, 2011 | 3 | 2011 |
AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family RH Eyono, FM Carlucci, PM Esperança, B Ru, P Torr arXiv:2111.03555, 2021 | 2 | 2021 |
Large model emulation by knowledge distillation based nas FM Carlucci, T Philip, R Eyono, PM Esperanca, RU Binxin US Patent App. 18/193,815, 2023 | | 2023 |