You can also find my articles on my Google Scholar profile.
Conference Papers
| Semi-Supervised Deep Expectation-Maximization for Low-Dose PET-CT Vatsala Sharma, Ansh Khurana, Sriram Yenamandra, Suyash P. Awate IEEE International Symposium on Biomedical Imaging (ISBI) 2022 Best Paper Award [Paper] |
| Selecting Influential Features by a Learnable Content-Aware Linear Threshold Model Ansh Khurana, Alvis Logins, Panagiotis Karras ACM International Conference on Information and Knowledge Management (CIKM) 2020 [Paper] |
| Two-in-One Refinement for Interactive Segmentation Soumajit Majumder, Abhinav Rai, Ansh Khurana, Angela Yao British Machine Vision Conference (BMVC) 2020 [Paper] |
| Learning Image Inpainting from Incomplete Images using Self-Supervision Sriram Yenamandra, Ansh Khurana, Rohit Jena, Suyash P. Awate International Conference on Pattern Recognition (ICPR) 2020 [Paper] |
| Multi-Stage Fusion for One-Click Segmentation Soumajit Majumder, Ansh Khurana, Abhinav Rai, Angela Yao German Conference on Pattern Recognition (GCPR) 2020 [Paper] |
Workshops
| What can we do with just the model? A simple knowledge extraction framework Sujoy Paul, Ansh Khurana, Gaurav Aggarwal International Conference on Machine Learning (ICML) 2022, Workshop on Principles of Distribution Shift [Paper] |
| Symbolic Binding in Neural Networks through Factorized Memory Systems Ameya Daiagavane*, Ansh Khurana*, Shweta Bhardwaj, Gaurav Aggarwal International Conference on Learning Representations (ICLR) 2022, Blog Post Track [Paper] |
Preprints
| SITA: Single Image Test-time Adaptation Ansh Khurana, Sujoy Paul, Piyush Rai, Soma Biswas, Gaurav Aggarwal [Paper] |
| Unsupervised Adaptation of Semantic Segmentation Models without Source Data Sujoy Paul, Ansh Khurana, Gaurav Aggarwal [Paper] |