Node-level differentially private graph neural networks A Daigavane, G Madan, A Sinha, AG Thakurta, G Aggarwal, P Jain arXiv preprint arXiv:2111.15521, 2021 | 38 | 2021 |
Block-value symmetries in probabilistic graphical models G Madan, A Anand, P Singla arXiv preprint arXiv:1807.00643, 2018 | 5 | 2018 |
Topic modeling using distributed word embeddings RS Randhawa, P Jain, G Madan arXiv preprint arXiv:1603.04747, 2016 | 5 | 2016 |
A study of autoregressive decoders for multi-tasking in computer vision L Beyer, B Wan, G Madan, F Pavetic, A Steiner, A Kolesnikov, AS Pinto, ... arXiv preprint arXiv:2303.17376, 2023 | 3 | 2023 |
Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering N Hegde, S Paul, G Madan, G Aggarwal arXiv preprint arXiv:2309.14389, 2023 | 1 | 2023 |
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components S Pal, P Varshney, G Madan, P Jain, A Thakurta, G Aggarwal, P Shenoy, ... International Conference on Artificial Intelligence and Statistics, 1702-1710, 2024 | | 2024 |
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models D Tula, S Paul, G Madan, P Garst, R Ingle, G Aggarwal arXiv preprint arXiv:2308.15037, 2023 | | 2023 |
Weakly supervised information extraction from inscrutable handwritten document images S Paul, G Madan, A Mishra, N Hegde, P Kumar, G Aggarwal International Conference on Document Analysis and Recognition, 445-463, 2023 | | 2023 |
Private and Efficient Meta-Learning with Low Rank and Sparse decomposition S Pal, P Varshney, G Madan, AG Thakurta, G Aggarwal, P Shenoy, ... | | 2022 |
A Survey of Distant Supervision Methods using PGMs G Madan arXiv preprint arXiv:1705.03751, 2017 | | 2017 |