Soumyajit Gupta

According to our database, Soumyajit Gupta authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection.

Soumyajit Gupta, Venelin Kovatchev, Maria De-Arteaga, Matthew Lease

CoRR, 2024

2023

Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection.

Soumyajit Gupta, Sooyong Lee, Maria De-Arteaga, Matthew Lease

Proceedings of the ACM Web Conference 2023, 2023

2022

HOFS: Higher order mutual information approximation for feature selection in R.

Krzysztof Gajowniczek, Jialin Wu, Soumyajit Gupta, Chandrajit Bajaj

SoftwareX, 2022

Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection.

Venelin Kovatchev, Soumyajit Gupta, Matthew Lease

CoRR, 2022

Learning a neural Pareto manifold extractor with constraints.

Soumyajit Gupta, Gurpreet Singh, Raghu Bollapragada, Matthew Lease

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Scalable Uni-directional Pareto Optimality for Multi-Task Learning with Constraints.

Soumyajit Gupta, Gurpreet Singh, Matthew Lease

CoRR, 2021

Tail-Net: Extracting Lowest Singular Triplets for Big Data Applications.

Gurpreet Singh, Soumyajit Gupta

CoRR, 2021

SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing.

Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson

CoRR, 2021

A Hybrid 2-stage Neural Optimization for Pareto Front Extraction.

Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson

CoRR, 2021

Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval.

Soumyajit Gupta, Gurpreet Singh, Anubrata Das, Matthew Lease

Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

2020

Streaming Singular Value Decomposition for Big Data Applications.

Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson

CoRR, 2020

Extracting Optimal Solution Manifolds using Constrained Neural Optimization.

Gurpreet Singh, Soumyajit Gupta, Matthew Lease

CoRR, 2020

Prevention is Better than Cure: Handling Basis Collapse and Transparency in Dense Networks.

Gurpreet Singh, Soumyajit Gupta, Clint N. Dawson

CoRR, 2020

TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes.

Gurpreet Singh, Soumyajit Gupta, Matt Lease, Clint N. Dawson

CoRR, 2020

2019

Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval.

Soumyajit Gupta, Mücahid Kutlu, Vivek Khetan, Matthew Lease

Proceedings of the Advances in Information Retrieval, 2019

A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction.

Soumyajit Gupta, Chandrajit Bajaj

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Efficient Clustering-Based Noise Covariance Estimation for Maximum Noise Fraction.

Soumyajit Gupta, Chandrajit Bajaj

Proceedings of the Computer Vision, Pattern Recognition, Image Processing, and Graphics, 2017

2016

Higher Order Mutual Information Approximation for Feature Selection.

Jilin Wu, Soumyajit Gupta, Chandrajit Bajaj

CoRR, 2016

2014

A GPU based Real-Time CUDA implementation for obtaining Visual Saliency.

Rahul Agrawal, Soumyajit Gupta, Jayanta Mukherjee, Ritwik Kumar Layek

Proceedings of the 2014 Indian Conference on Computer Vision, 2014

2013

Psychovisual saliency in color images.

Soumyajit Gupta, Rahul Agrawal, Ritwik Kumar Layek, Jayanta Mukhopadhyay

Proceedings of the Fourth National Conference on Computer Vision, 2013