| User fairness in recommender systems J Leonhardt, A Anand, M Khosla Companion Proceedings of the The Web Conference 2018, 101-102, 2018 | 80 | 2018 |
| Node representation learning for directed graphs M Khosla, J Leonhardt, W Nejdl, A Anand Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 68 | 2020 |
| Boilerplate removal using a neural sequence labeling model J Leonhardt, A Anand, M Khosla Companion Proceedings of the Web Conference 2020, 226-229, 2020 | 33 | 2020 |
| Extractive explanations for interpretable text ranking J Leonhardt, K Rudra, A Anand ACM Transactions on Information Systems 41 (4), 1-31, 2023 | 14 | 2023 |
| Efficient neural ranking using forward indexes J Leonhardt, K Rudra, M Khosla, A Anand, A Anand Proceedings of the ACM Web Conference 2022, 266-276, 2022 | 10 | 2022 |
| Supervised contrastive learning approach for contextual ranking A Anand, J Leonhardt, K Rudra, A Anand Proceedings of the 2022 ACM SIGIR International Conference on Theory of …, 2022 | 5 | 2022 |
| Data augmentation for sample efficient and robust document ranking A Anand, J Leonhardt, J Singh, K Rudra, A Anand ACM Transactions on Information Systems, 2023 | 3 | 2023 |
| Efficient neural ranking using forward indexes and lightweight encoders J Leonhardt, H Müller, K Rudra, M Khosla, A Anand, A Anand ACM Transactions on Information Systems, 2023 | 2 | 2023 |
| Distribution-aligned fine-tuning for efficient neural retrieval J Leonhardt, M Jahnke, A Anand arXiv preprint arXiv:2211.04942, 2022 | 1 | 2022 |
| Exploiting Sentence-Level Representations for Passage Ranking J Leonhardt, F Beringer, A Anand arXiv preprint arXiv:2106.07316, 2021 | 1 | 2021 |
| L3S at the TREC 2021 Deep Learning Track J Leonhardt, K Rudra, A Anand | | |
