| Generalizing across domains via cross-gradient training S Shankar, V Piratla, S Chakrabarti, S Chaudhuri, P Jyothi, S Sarawagi arXiv preprint arXiv:1804.10745, 2018 | 386 | 2018 |
| Efficient domain generalization via common-specific low-rank decomposition V Piratla, P Netrapalli, S Sarawagi International Conference on Machine Learning, 7728-7738, 2020 | 129 | 2020 |
| Parallel iterative edit models for local sequence transduction A Awasthi, S Sarawagi, R Goyal, S Ghosh, V Piratla arXiv preprint arXiv:1910.02893, 2019 | 104 | 2019 |
| Parameter estimation of tuberculosis transmission model using Ensemble Kalman filter across Indian states and union territories P Narula, V Piratla, A Bansal, S Azad, P Lio Infection, Disease & Health 21 (4), 184-191, 2016 | 14 | 2016 |
| An analysis of frame-skipping in reinforcement learning S Kalyanakrishnan, S Aravindan, V Bagdawat, V Bhatt, H Goka, A Gupta, ... arXiv preprint arXiv:2102.03718, 2021 | 12 | 2021 |
| Focus on the common good: Group distributional robustness follows V Piratla, P Netrapalli, S Sarawagi arXiv preprint arXiv:2110.02619, 2021 | 11 | 2021 |
| Historical research using email archives S Hangal, V Piratla, C Manovit, P Chan, G Edwards, MS Lam Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human …, 2015 | 10 | 2015 |
| Training for the future: A simple gradient interpolation loss to generalize along time A Nasery, S Thakur, V Piratla, A De, S Sarawagi Advances in Neural Information Processing Systems 34, 19198-19209, 2021 | 6 | 2021 |
| Topic sensitive attention on generic corpora corrects sense bias in pretrained embeddings V Piratla, S Sarawagi, S Chakrabarti arXiv preprint arXiv:1906.02688, 2019 | 3 | 2019 |
| Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations V Piratla, S Chakrabarti, S Sarawagi Advances in Neural Information Processing Systems 34, 23140-23151, 2021 | 2 | 2021 |
| NLP Service APIs and Models for Efficient Registration of New Clients S Shah, V Piratla, S Chakrabarti, S Sarawagi arXiv preprint arXiv:2010.01526, 2020 | 2 | 2020 |
| Autonomous navigation in GPS denied indoor environment using RGBD sensor, kinect V Piratla, SB Malode, SK Saini, A Jakhotia, AK Sao, BS Rajpurohit, ... Fourth Symposium on Indoor Flight Issues, 12, 2012 | 2 | 2012 |
| Robust Learning from Explanations J Heo, V Piratla, M Wicker, A Weller arXiv preprint arXiv:2303.06419, 2023 | | 2023 |
| Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild V Piratla arXiv preprint arXiv:2303.02781, 2023 | | 2023 |
| Implicit Training of Energy Model for Structure Prediction S Shankar, V Piratla arXiv preprint arXiv:2211.11649, 2022 | | 2022 |
| Web-based Elicitation of Human Perception on mixup Data KM Collins, U Bhatt, W Liu, V Piratla, B Love, A Weller arXiv preprint arXiv:2211.01202, 2022 | | 2022 |
| Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint V Piratla, S Shankar arXiv preprint arXiv:2007.04662, 2020 | | 2020 |
| Domain Adaptation of Cloud NLP Services through Word Substitutions V Sreeramdass, V Piratla, S Sarawagi, S Chakrabarti | | |
| Supplementary Material Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time A Nasery, S Thakur, V Piratla, ADS Sarawagi | | |
| 1 Training for Domain Generalization V Piratla | | |
Sunita SarawagiIndian Institute of Technology Bombay, Mumbai, India.Verified email at iitb.ac.in
