| Preference elicitation as an optimization problem A Sepliarskaia, J Kiseleva, F Radlinski, M de Rijke Proceedings of the 12th ACM Conference on Recommender Systems, 172-180, 2018 | 47 | 2018 |
| Liegg: Studying learned lie group generators A Moskalev, A Sepliarskaia, I Sosnovik, A Smeulders Advances in Neural Information Processing Systems 35, 25212-25223, 2022 | 20 | 2022 |
| Evaluating disentangled representations A Sepliarskaia, J Kiseleva, M de Rijke arXiv preprint arXiv:1910.05587, 2019 | 18 | 2019 |
| How to not measure disentanglement A Sepliarskaia, J Kiseleva, M de Rijke arXiv preprint arXiv:1910.05587, 2019 | 14 | 2019 |
| Simple personalized search based on long-term behavioral signals A Sepliarskaia, F Radlinski, M de Rijke Advances in Information Retrieval: 39th European Conference on IR Research …, 2017 | 7 | 2017 |
| VC dimensions of group convolutional neural networks PC Petersen, A Sepliarskaia Neural Networks 169, 462-474, 2024 | 2 | 2024 |
| On genuine invariance learning without weight-tying A Moskalev, A Sepliarskaia, EJ Bekkers, AWM Smeulders Topological, Algebraic and Geometric Learning Workshops 2023, 218-227, 2023 | 1 | 2023 |
| A Deep Reinforcement Learning-Based Approach to Query-Free Interactive Target Item Retrieval A Sepliarskaia, S Genc, M de Rijke New York, NYACM, 2021 | 1 | 2021 |
| Disentangled Representations using Trained Models A Sepliarskaia, T Gärtner, P Forré | | 2021 |
| Understanding user goals by analyzing logged interactions and asking the right questions A Sepliarskaia Universiteit van Amsterdam, 2019 | | 2019 |
Maarten de RijkeUniversity of Amsterdam & ICAI在 uva.nl 的电子邮件经过验证
