7 citations · 7 across the 2 of their papers we have counts for
4 papers
Evolutionary Optimization of Deep Learning Activation Functions
Garrett Bingham, William Macke, Risto Miikkulainen
The choice of activation function can have a large effect on the performance of a neural network. While there have been some attempts to hand-engineer novel activation functions, t…
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations
Rui Zhang, Caitlin Westerfield, Sungrok Shim +5
In this paper, we propose to boost low-resource cross-lingual document retrieval performance with deep bilingual query-document representations. We match queries and documents in b…
Preliminary Studies on a Large Face Database
Benjamin Yip, Garrett Bingham, Katherine Kempfert +4
We perform preliminary studies on a large longitudinal face database MORPH-II, which is a benchmark dataset in the field of computer vision and pattern recognition. First, we summa…
Random Subspace Two-dimensional LDA for Face Recognition
Garrett Bingham
In this paper, a novel technique named random subspace two-dimensional LDA (RS-2DLDA) is developed for face recognition. This approach offers a number of improvements over the rand…