| A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R Hebbalaguppe, J Prakash, N Madan, C Arora Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
| Renee: END-TO-END TRAINING OF EXTREME CLASSIFICATION MODELS V Jain, J Prakash, D Saini, J Jiao, R Ramjee, M Varma Proceedings of Machine Learning and Systems 5, 2023 | 3 | 2023 |
| A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions R Hebbalaguppe, SS Ghosal, J Prakash, H Khadilkar, C Arora Machine Learning and Knowledge Discovery in Databases: European Conference …, 2023 | 3 | 2023 |
| Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction A Buvanesh, R Chand, J Prakash, B Paliwal, M Dhawan, N Madan, ... The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Understanding Calibration Transfer in Knowledge Distillation R Hebbalaguppe, M Baranwal, J Prakash, N Madan, K Anand, C Arora | | |
