Arghya Datta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
3
Active years
2019–2023
Best venue rank
A*
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ACL | Measuring and Mitigating Local Instability in Deep Neural Networks. | Arghya Datta, Subhrangshu Nandi, Jingcheng Xu, Greg Ver Steeg, He Xie, Anoop Kumar, Aram Galstyan |
| 2022 | ICAART | Fair-Net: A Network Architecture for Reducing Performance Disparity between Identifiable Sub-populations. | Arghya Datta, S. Joshua Swamidass |
| 2021 | IJCNN | Cal-Net: Jointly Learning Classification and Calibration On Imbalanced Binary Classification Tasks. | Arghya Datta, Noah R. Flynn, S. Joshua Swamidass |
| 2019 | IJCNN | Deep learning long-range information in undirected graphs with wave networks. | Matthew K. Matlock, Arghya Datta, Na Le Dang, Kevin Jiang, S. Joshua Swamidass |