1 citations · 2 across the 5 of their papers we have counts for
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Fairness-Aware Multi-Group Target Detection in Online Discussion
Soumyajit Gupta, Maria De-Arteaga, Matthew Lease
Target-group detection is the task of detecting which group(s) a piece of content is ``directed at or about''. Applications include targeted marketing, content recommendation, and…
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection
Soumyajit Gupta, Sooyong Lee, Maria De-Arteaga +1
Algorithmic bias often arises as a result of differential subgroup validity, in which predictive relationships vary across groups. For example, in toxic language detection, comment…
Tail-Net: Extracting Lowest Singular Triplets for Big Data Applications
Gurpreet Singh, Soumyajit Gupta
SVD serves as an exploratory tool in identifying the dominant features in the form of top rank-r singular factors corresponding to the largest singular values. For Big Data applica…
A Hybrid 2-stage Neural Optimization for Pareto Front Extraction
Gurpreet Singh, Soumyajit Gupta, Matthew Lease +1
Classification, recommendation, and ranking problems often involve competing goals with additional constraints (e.g., to satisfy fairness or diversity criteria). Such optimization…
SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing
Gurpreet Singh, Soumyajit Gupta, Clint Dawson
Hyperspectral unmixing involves separating a pixel as a weighted combination of its constituent endmembers and corresponding fractional abundances, with the current state of the ar…
Prevention is Better than Cure: Handling Basis Collapse and Transparency in Dense Networks
Gurpreet Singh, Soumyajit Gupta, Clint N. Dawson
Dense nets are an integral part of any classification and regression problem. Recently, these networks have found a new application as solvers for known representations in various…