activity
20132022
most citedDCAP: Deep Cross Attentional Product Network for User Response Prediction

14 citations · 34 across the 12 of their papers we have counts for

collaborators

14 papers

cs.CR2022

DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization

Honglu Jiang, Haotian Yu, Xiuzhen Cheng +3

A large amount of high-dimensional and heterogeneous data appear in practical applications, which are often published to third parties for data analysis, recommendations, targeted…

cs.CV2022★ 1 cited

Dissecting the impact of different loss functions with gradient surgery

Hong Xuan, Robert Pless

Pair-wise loss is an approach to metric learning that learns a semantic embedding by optimizing a loss function that encourages images from the same semantic class to be mapped clo…

q-bio.QM2021

Classification and Visualization of Genotype x Phenotype Interactions in Biomass Sorghum

Abby Stylianou, Robert Pless, Nadia Shakoor +1

We introduce a simple approach to understanding the relationship between single nucleotide polymorphisms (SNPs), or groups of related SNPs, and the phenotypes they control. The pip…

cs.LG2021★ 14 cited

DCAP: Deep Cross Attentional Product Network for User Response Prediction

Zekai Chen, Fangtian Zhong, Zhumin Chen +3

User response prediction, which aims to predict the probability that a user will provide a predefined positive response in a given context such as clicking on an ad or purchasing a…

cs.CV2020★ 4 cited

Hard negative examples are hard, but useful

Hong Xuan, Abby Stylianou, Xiaotong Liu +1

Triplet loss is an extremely common approach to distance metric learning. Representations of images from the same class are optimized to be mapped closer together in an embedding s…

cs.CV2019★ 1 cited

TraffickCam: Explainable Image Matching For Sex Trafficking Investigations

Abby Stylianou, Richard Souvenir, Robert Pless

Investigations of sex trafficking sometimes have access to photographs of victims in hotel rooms. These images directly link victims to places, which can help verify where victims…