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ORCIDSoumyajit Gupta
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2020 – today
- 2024
[i12]Soumyajit Gupta, Venelin Kovatchev, Maria De-Arteaga, Matthew Lease:
Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection. CoRR abs/2407.11933 (2024)- 2023
- [c8]Soumyajit Gupta
, Sooyong Lee, Maria De-Arteaga, Matthew Lease:
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection. WWW 2023: 3689-3700 - [i11]Soumyajit Gupta, Sooyong Lee, Maria De-Arteaga, Matthew Lease:
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection. CoRR abs/2302.07372 (2023) - 2022
- [j1]Krzysztof Gajowniczek, Jialin Wu, Soumyajit Gupta, Chandrajit Bajaj:
HOFS: Higher order mutual information approximation for feature selection in R. SoftwareX 19: 101148 (2022) - [c7]Soumyajit Gupta, Gurpreet Singh, Raghu Bollapragada, Matthew Lease:
Learning a neural Pareto manifold extractor with constraints. UAI 2022: 749-758 - [i10]Venelin Kovatchev, Soumyajit Gupta, Matthew Lease:
Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection. CoRR abs/2204.07661 (2022) - 2021
- [c6]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: 43-52 - [i9]Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson:
A Hybrid 2-stage Neural Optimization for Pareto Front Extraction. CoRR abs/2101.11684 (2021) - [i8]Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson:
SCA-Net: A Self-Correcting Two-Layer Autoencoder for Hyper-spectral Unmixing. CoRR abs/2102.05713 (2021) - [i7]Gurpreet Singh, Soumyajit Gupta:
Tail-Net: Extracting Lowest Singular Triplets for Big Data Applications. CoRR abs/2104.13968 (2021) - [i6]Soumyajit Gupta, Gurpreet Singh, Matthew Lease:
Scalable Uni-directional Pareto Optimality for Multi-Task Learning with Constraints. CoRR abs/2110.15442 (2021) - 2020
- [i5]Gurpreet Singh, Soumyajit Gupta, Matt Lease, Clint N. Dawson:
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes. CoRR abs/2003.02426 (2020) - [i4]Gurpreet Singh, Soumyajit Gupta, Clint N. Dawson:
Prevention is Better than Cure: Handling Basis Collapse and Transparency in Dense Networks. CoRR abs/2008.09878 (2020) - [i3]Gurpreet Singh, Soumyajit Gupta, Matthew Lease:
Extracting Optimal Solution Manifolds using Constrained Neural Optimization. CoRR abs/2009.06024 (2020) - [i2]Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson:
Streaming Singular Value Decomposition for Big Data Applications. CoRR abs/2010.14226 (2020)
2010 – 2019
- 2019
- [c5]Soumyajit Gupta, Chandrajit Bajaj:
A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction. IEEE BigData 2019: 74-83 - [c4]Soumyajit Gupta, Mücahid Kutlu, Vivek Khetan, Matthew Lease:
Correlation, Prediction and Ranking of Evaluation Metrics in Information Retrieval. ECIR (1) 2019: 636-651 - 2017
- [c3]Soumyajit Gupta, Chandrajit Bajaj:
Efficient Clustering-Based Noise Covariance Estimation for Maximum Noise Fraction. NCVPRIPG 2017: 232-244 - 2016
- [i1]Jilin Wu, Soumyajit Gupta, Chandrajit Bajaj:
Higher Order Mutual Information Approximation for Feature Selection. CoRR abs/1612.00554 (2016) - 2014
- [c2]Rahul Agrawal, Soumyajit Gupta, Jayanta Mukherjee, Ritwik Kumar Layek:
A GPU based Real-Time CUDA implementation for obtaining Visual Saliency. ICVGIP 2014: 1:1-1:8 - 2013
- [c1]Soumyajit Gupta, Rahul Agrawal, Ritwik Kumar Layek, Jayanta Mukhopadhyay:
Psychovisual saliency in color images. NCVPRIPG 2013: 1-4
Coauthor Index
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