| Same same, but different: Conditional multi-task learning for demographic-specific toxicity detection S Gupta, S Lee, M De-Arteaga, M Lease Proceedings of the ACM Web Conference 2023, 3689-3700, 2023 | 11 | 2023 |
| A GPU based Real-Time CUDA implementation for obtaining Visual Saliency R Agrawal, S Gupta, J Mukherjee, RK Layek Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014 | 11 | 2014 |
| Correlation, prediction and ranking of evaluation metrics in information retrieval S Gupta, M Kutlu, V Khetan, M Lease Advances in Information Retrieval: 41st European Conference on IR Research …, 2019 | 9 | 2019 |
| A fully automated, faster noise rejection approach to increasing the analytical capability of chemical imaging for digital histopathology S Gupta, S Mittal, A Kajdacsy-Balla, R Bhargava, C Bajaj PloS one 14 (4), e0205219, 2019 | 8 | 2019 |
| Scalable unidirectional Pareto optimality for multi-task learning with constraints S Gupta, G Singh, R Bollapragada, M Lease arXiv preprint arXiv:2110.15442, 2021 | 6 | 2021 |
| Range-Net: A high precision streaming SVD for big data applications G Singh, S Gupta, M Lease, C Dawson arXiv preprint arXiv:2010.14226, 2020 | 6 | 2020 |
| HOFS: Higher order mutual information approximation for feature selection in R K Gajowniczek, J Wu, S Gupta, C Bajaj SoftwareX 19, 101148, 2022 | 5 | 2022 |
| Higher Order Mutual Information Approximation for Feature Selection J Wu, S Gupta, C Bajaj arXiv preprint arXiv:1612.00554, 2016 | 4 | 2016 |
| A Hybrid 2-stage Neural Optimization for Pareto Front Extraction G Singh, S Gupta, M Lease, C Dawson arXiv preprint arXiv:2101.11684, 2021 | 3 | 2021 |
| Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection V Kovatchev, S Gupta, A Das, M Lease arXiv preprint arXiv:2204.07661, 2022 | 2 | 2022 |
| SCA-Net: A self-correcting two-layer autoencoder for hyper-spectral unmixing G Singh, S Gupta, C Dawson arXiv preprint arXiv:2102.05713, 2021 | 2 | 2021 |
| Streaming singular value decomposition for big data applications G Singh, S Gupta, M Lease, C Dawson arXiv preprint arXiv:2010.14226, 2020 | 2 | 2020 |
| TIME: A transparent, interpretable, model-adaptive and explainable neural network for dynamic physical processes G Singh, S Gupta, M Lease, CN Dawson arXiv preprint arXiv:2003.02426, 2020 | 2 | 2020 |
| A Streaming model for Generalized Rayleigh with extension to Minimum Noise Fraction S Gupta, C Bajaj 2019 IEEE International Conference on Big Data (Big Data), 74-83, 2019 | 1 | 2019 |
| Efficient clustering-based noise covariance estimation for maximum noise fraction S Gupta, C Bajaj Computer Vision, Pattern Recognition, Image Processing, and Graphics: 6th …, 2018 | 1 | 2018 |
| Psychovisual saliency in color images S Gupta, R Agrawal, R Layek, J Mukhopadhyay 2013 Fourth National Conference on Computer Vision, Pattern Recognition …, 2013 | 1 | 2013 |
| Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection S Gupta, V Kovatchev, M De-Arteaga, M Lease arXiv preprint arXiv:2407.11933, 2024 | | 2024 |
| Learning a neural Pareto manifold extractor with constraints S Gupta, G Singh, R Bollapragada, M Lease Uncertainty in Artificial Intelligence, 749-758, 2022 | | 2022 |
| Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval S Gupta, G Singh, A Das, M Lease Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021 | | 2021 |
| Tail-Net: Extracting Lowest Singular Triplets for Big Data Applications G Singh, S Gupta arXiv preprint arXiv:2104.13968, 2021 | | 2021 |
