| A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R Hebbalaguppe, J Prakash, N Madan, C Arora CVPR 2022, 2022 | 57 | 2022 |
| Renee: End-to-end training of Extreme Classification models V Jain, J Prakash, D Saini, J Jiao, R Ramjee, M Varma MLSys 2023, 2023 | 17 | 2023 |
| Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction A Buvanesh, R Chand, J Prakash, B Paliwal, M Dhawan, N Madan, ... ICLR 2024, 2024 | 7 | 2024 |
| A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions R Hebbalaguppe, SS Ghosal, J Prakash, H Khadilkar, C Arora ECML PKDD 2023, 2023 | 6 | 2023 |
| On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification J Prakash, A Buvanesh, B Santra, D Saini, S Yadav, J Jiao, Y Prabhu, ... KDD 2025, 2024 | | 2024 |
