Soumyajit Gupta

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Mutual Information

Physical Processes

Pareto Optimality

Top Venues

Publications

Soumyajit Gupta, Venelin Kovatchev, Maria De-Arteaga, Matthew Lease
Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection. CoRR (2024)
Soumyajit Gupta, Sooyong Lee, Maria De-Arteaga, Matthew Lease
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection. WWW (2023)
Soumyajit Gupta, Sooyong Lee, Maria De-Arteaga, Matthew Lease
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection. CoRR (2023)
Soumyajit Gupta, Gurpreet Singh, Raghu Bollapragada, Matthew Lease
Learning a neural Pareto manifold extractor with constraints. UAI (2022)
Venelin Kovatchev, Soumyajit Gupta, Matthew Lease
Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection. CoRR (2022)
Krzysztof Gajowniczek, Jialin Wu, Soumyajit Gupta, Chandrajit Bajaj
HOFS: Higher order mutual information approximation for feature selection in R. SoftwareX 19 (2022)
Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson
A Hybrid 2-stage Neural Optimization for Pareto Front Extraction. CoRR (2021)
Gurpreet Singh, Soumyajit Gupta
Tail-Net: Extracting Lowest Singular Triplets for Big Data Applications. CoRR (2021)
Soumyajit Gupta, Gurpreet Singh, Anubrata Das, Matthew Lease
Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval. ICTIR (2021)
Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson
SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing. CoRR (2021)
Soumyajit Gupta, Gurpreet Singh, Matthew Lease
Scalable Uni-directional Pareto Optimality for Multi-Task Learning with Constraints. CoRR (2021)
Gurpreet Singh, Soumyajit Gupta, Matt Lease, Clint N. Dawson
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes. CoRR (2020)
Gurpreet Singh, Soumyajit Gupta, Matthew Lease
Extracting Optimal Solution Manifolds using Constrained Neural Optimization. CoRR (2020)
Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson
Streaming Singular Value Decomposition for Big Data Applications. CoRR (2020)
Gurpreet Singh, Soumyajit Gupta, Clint N. Dawson
Prevention is Better than Cure: Handling Basis Collapse and Transparency in Dense Networks. CoRR (2020)
Soumyajit Gupta, Chandrajit Bajaj
A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction. IEEE BigData (2019)
Soumyajit Gupta, Mücahid Kutlu, Vivek Khetan, Matthew Lease
Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval. ECIR (1) (2019)
Soumyajit Gupta, Chandrajit Bajaj
Efficient Clustering-Based Noise Covariance Estimation for Maximum Noise Fraction. NCVPRIPG (2017)
Jilin Wu, Soumyajit Gupta, Chandrajit Bajaj
Higher Order Mutual Information Approximation for Feature Selection. CoRR (2016)
Rahul Agrawal, Soumyajit Gupta, Jayanta Mukherjee, Ritwik Kumar Layek
A GPU based Real-Time CUDA implementation for obtaining Visual Saliency. ICVGIP (2014)
Soumyajit Gupta, Rahul Agrawal, Ritwik Kumar Layek, Jayanta Mukhopadhyay
Psychovisual saliency in color images. NCVPRIPG (2013)