| Glister: Generalization based data subset selection for efficient and robust learning K Killamsetty, D Sivasubramanian, G Ramakrishnan, R Iyer Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8110-8118, 2021 | 183 | 2021 |
| Grad-match: Gradient matching based data subset selection for efficient deep model training K Killamsetty, S Durga, G Ramakrishnan, A De, R Iyer International Conference on Machine Learning, 5464-5474, 2021 | 180 | 2021 |
| Effective Evaluation of Deep Active Learning on Image Classification Tasks N Beck, D Sivasubramanian, A Dani, G Ramakrishnan, R Iyer arXiv preprint arXiv:2106.15324, 2021 | 35 | 2021 |
| Training Data Subset Selection for Regression with Controlled Generalization Error S Durga, R Iyer, G Ramakrishnan, A De International Conference on Machine Learning, 9202-9212, 2021 | 27 | 2021 |
| Adaptive mixing of auxiliary losses in supervised learning D Sivasubramanian, A Maheshwari, AP Prathosh, P Shenoy, ... | 5 | 2023 |
| Using Early Readouts to Mediate Featural Bias in Distillation R Tiwari, D Sivasubramanian, A Mekala, G Ramakrishnan, P Shenoy Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 4 | 2024 |
| Partitioned Gradient Matching-based Data Subset Selection for Compute-Efficient Robust ASR Training A Mittal, D Sivasubramanian, R Iyer, P Jyothi, G Ramakrishnan arXiv preprint arXiv:2210.16892, 2022 | 3 | 2022 |
| Gradient Coreset for Federated Learning D Sivasubramanian, L Nagalapatti, R Iyer, G Ramakrishnan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models PV Sangani, AS Kashettiwar, P Chakraborty, BR Gangula, S Durga, ... | | 2023 |
| Learning Mixture Models with Simultaneous Data Partitioning and Parameter Estimation PV Sangani, AS Kashettiwar, S Durga, G Ramakrishnan, RK Iyer, A De | | 2022 |
