Search Results for author: Pedro Esperanca

Found 2 papers, 1 papers with code

Batch Group Normalization

no code implementations4 Dec 2020 Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro Esperanca, Guang-Zhong Yang, Zhenguo Li

Among previous normalization methods, Batch Normalization (BN) performs well at medium and large batch sizes and is with good generalizability to multiple vision tasks, while its performance degrades significantly at small batch sizes.

Few-Shot Learning Image Classification +2

Neural Architecture Generator Optimization

2 code implementations NeurIPS 2020 Binxin Ru, Pedro Esperanca, Fabio Carlucci

Neural Architecture Search (NAS) was first proposed to achieve state-of-the-art performance through the discovery of new architecture patterns, without human intervention.

Bayesian Optimisation Neural Architecture Search +1

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