Quantifying social biases using templates is unreliable P Seshadri, P Pezeshkpour, S Singh arXiv preprint arXiv:2210.04337, 2022 | 19 | 2022 |
The bias amplification paradox in text-to-image generation P Seshadri, S Singh, Y Elazar arXiv preprint arXiv:2308.00755, 2023 | 12 | 2023 |
Fonts-2-handwriting: A seed-augment-train framework for universal digit classification VU Prabhu, S Han, DA Yap, M Douhaniaris, P Seshadri, J Whaley arXiv preprint arXiv:1905.08633, 2019 | 9 | 2019 |
MyCS at 5: Assessing a middle-years CS curriculum B Castro, T Diaz, M Gee, R Justice, D Kwan, P Seshadri, Z Dodds Proceedings of the 47th ACM technical symposium on computing science …, 2016 | 6 | 2016 |
Are Models Biased on Text without Gender-related Language? C Belém, P Seshadri, Y Razeghi, S Singh Socially Responsible Language Modeling Research, 2023 | 1 | 2023 |
A seed-augment-train framework for universal digit classification VU Prabhu, S Han, DA Yap, M Douhaniaris, P Seshadri | 1 | 2019 |
Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classification V Uday Prabhu, S Han, D Ang Yap, M Douhaniaris, P Seshadri, J Whaley arXiv e-prints, arXiv: 1905.08633, 2019 | | 2019 |