| On the unreasonable effectiveness of centroids in image retrieval M Wieczorek, B Rychalska, J Dąbrowski International Conference on Neural Information Processing, 212-223, 2021 | 156 | 2021 |
| Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity. B Rychalska, K Pakulska, K Chodorowska, W Walczak, P Andruszkiewicz Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 76 | 2016 |
| Models in the wild: On corruption robustness of neural nlp systems B Rychalska, D Basaj, A Gosiewska, P Biecek International Conference on Neural Information Processing, 235-247, 2019 | 50 | 2019 |
| Multi-intent hierarchical natural language understanding for chatbots B Rychalska, H Glabska, A Wroblewska 2018 Fifth international conference on social networks analysis, management …, 2018 | 28 | 2018 |
| Cleora: A simple, strong and scalable graph embedding scheme B Rychalska, P Bąbel, K Gołuchowski, A Michałowski, J Dąbrowski, ... International Conference on Neural Information Processing, 338-352, 2021 | 24 | 2021 |
| An efficient manifold density estimator for all recommendation systems J Dąbrowski, B Rychalska, M Daniluk, D Basaj, K Gołuchowski, P Bąbel, ... International Conference on Neural Information Processing, 323-337, 2021 | 23 | 2021 |
| Explaining self-supervised image representations with visual probing D Basaj, W Oleszkiewicz, I Sieradzki, M Górszczak, B Rychalska, ... | 23 | 2021 |
| Designing multi-modal embedding fusion-based recommender A Wróblewska, J Dąbrowski, M Pastuszak, A Michałowski, M Daniluk, ... Electronics 11 (9), 1391, 2022 | 15 | 2022 |
| Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model M Daniluk, J Dabrowski, B Rychalska, K Goluchowski Proceedings of the Recommender Systems Challenge 2021, 15-21, 2021 | 10 | 2021 |
| Does it care what you asked? understanding importance of verbs in deep learning qa system B Rychalska, D Basaj, A Wróblewska, P Biecek Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018 | 9 | 2018 |
| Are you tough enough? framework for robustness validation of machine comprehension systems B Rychalska, D Basaj, P Biecek arXiv preprint arXiv:1812.02205, 2018 | 8 | 2018 |
| Synerise at sigir rakuten data challenge 2020: Efficient manifold density estimator for cross-modal retrieval B Rychalska, J Dabrowski SIGIR eCom Challenge 2020, 2020 | 6 | 2020 |
| How much should you ask? On the question structure in QA systems. B Rychalska, D Basaj, A Wróblewska, P Biecek Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018 | 6 | 2018 |
| Samsung Poland NLP team at SemEval-2016 task 1: Necessity for methods to measure semantic similarity B Rychalska, K Pakulska, K Chodorowska, W Walczak, P Andruszkiewicz Proceedings of the 10th International Workshop on Semantic Evaluation, 614-620, 2016 | 6 | 2016 |
| Can your contextaware mt system pass the dip benchmark tests P Jwalapuram, B Rychalska, S Joty, D Basaj Evaluation benchmarks for discourse phenomena in machine translation. arXiv, abs, 2004 | 6 | 2004 |
| Modeling Multi-Destination Trips with Sketch-Based Model M Daniluk, B Rychalska, K Gołuchowski, J Dąbrowski arXiv preprint arXiv:2102.11252, 2021 | 5 | 2021 |
| Can your context-aware mt system pass the dip benchmark tests?: Evaluation benchmarks for discourse phenomena in machine translation P Jwalapuram, B Rychalska, S Joty, D Basaj arXiv preprint arXiv:2004.14607, 2020 | 5 | 2020 |
| On the Unreasonable Effectiveness of Centroids in Image Retrieval. arXiv 2021 M Wieczorek, B Rychalska, J Dabrowski arXiv preprint arXiv:2104.13643, 0 | 5 | |
| Synerise monad-real-time multimodal behavioral modeling J Dąbrowski, B Rychalska Proceedings of the 31st ACM International Conference on Information …, 2022 | 4 | 2022 |
| I know why you like this movie: Interpretable Efficient Multimodal Recommender B Rychalska, D Basaj, J Dąbrowski, M Daniluk arXiv preprint arXiv:2006.09979, 2020 | 4 | 2020 |
