5 citations · 13 across the 13 of their papers we have counts for
13 papers
DeepEyeNet: Adaptive Genetic Bayesian Algorithm Based Hybrid ConvNeXtTiny Framework For Multi-Feature Glaucoma Eye Diagnosis
Angshuman Roy, Anuvab Sen, Soumyajit Gupta +4
Glaucoma is a leading cause of irreversible blindness worldwide, emphasizing the critical need for early detection and intervention. In this paper, we present DeepEyeNet, a novel a…
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…
Finding Pareto Trade-offs in Fair and Accurate Detection of Toxic Speech
Soumyajit Gupta, Venelin Kovatchev, Anubrata Das +2
Optimizing NLP models for fairness poses many challenges. Lack of differentiable fairness measures prevents gradient-based loss training or requires surrogate losses that diverge f…
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints
Soumyajit Gupta, Gurpreet Singh, Raghu Bollapragada +1
Multi-objective optimization (MOO) problems require balancing competing objectives, often under constraints. The Pareto optimal solution set defines all possible optimal trade-offs…
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…
Range-Net: A High Precision Streaming SVD for Big Data Applications
Gurpreet Singh, Soumyajit Gupta, Matthew Lease +1
In a Big Data setting computing the dominant SVD factors is restrictive due to the main memory requirements. Recently introduced streaming Randomized SVD schemes work under the res…
Extracting Optimal Solution Manifolds using Constrained Neural Optimization
Gurpreet Singh, Soumyajit Gupta, Matthew Lease
Constrained Optimization solution algorithms are restricted to point based solutions. In practice, single or multiple objectives must be satisfied, wherein both the objective funct…
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…
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes
Gurpreet Singh, Soumyajit Gupta, Matt Lease +1
Partial Differential Equations are infinite dimensional encoded representations of physical processes. However, imbibing multiple observation data towards a coupled representation…
Higher Order Mutual Information Approximation for Feature Selection
Jilin Wu, Soumyajit Gupta, Chandrajit Bajaj
Feature selection is a process of choosing a subset of relevant features so that the quality of prediction models can be improved. An extensive body of work exists on information-t…