On the unreasonable effectiveness of centroids in image retrieval M Wieczorek, B Rychalska, J Dąbrowski Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 127 | 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 Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 41 | 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 | 26 | 2018 |
Explaining self-supervised image representations with visual probing D Basaj, W Oleszkiewicz, I Sieradzki, M Górszczak, B Rychalska, ... Freiburg, Germany: International Joint Conferences on Artificial Intelligence, 2021 | 23 | 2021 |
Cleora: A simple, strong and scalable graph embedding scheme B Rychalska, P Bąbel, K Gołuchowski, A Michałowski, J Dąbrowski, ... Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 19 | 2021 |
An efficient manifold density estimator for all recommendation systems J Dąbrowski, B Rychalska, M Daniluk, D Basaj, K Gołuchowski, P Bąbel, ... Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 17 | 2021 |
Designing Multi-Modal Embedding Fusion-Based Recommender A Wróblewska, J Dąbrowski, M Pastuszak, A Michałowski, M Daniluk, ... Electronics 11 (9), 1391, 2022 | 13 | 2022 |
Does it care what you asked? understanding importance of verbs in deep learning qa system B Rychalska, D Basaj, P Biecek, A Wróblewska arXiv preprint arXiv:1809.03740, 2018 | 9 | 2018 |
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 | 7 | 2020 |
Are you tough enough? framework for robustness validation of machine comprehension systems B Rychalska, D Basaj, P Biecek arXiv preprint arXiv:1812.02205, 2018 | 7 | 2018 |
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 | 6 | 2021 |
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 |
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 |
Modeling Multi-Destination Trips with Sketch-Based Model M Daniluk, B Rychalska, K Gołuchowski, J Dąbrowski arXiv preprint arXiv:2102.11252, 2021 | 5 | 2021 |
How much should you ask? On the question structure in QA systems D Basaj, B Rychalska, P Biecek, A Wróblewska arXiv preprint arXiv:1809.03734, 2018 | 5 | 2018 |
On the Unreasonable Effectiveness of Centroids in Image Retrieval. arXiv 2021 M Wieczorek, B Rychalska, J Dabrowski arXiv preprint arXiv:2104.13643, 0 | 5 | |
An efficient manifold density estimator for all recommendation systems. J Dabrowski, B Rychalska, M Daniluk, D Basaj, K Goluchowski, P Babel, ... ICONIP (4), 323-337, 2021 | 4 | 2021 |
Synerise Monad-Real-Time Multimodal Behavioral Modeling J Dąbrowski, B Rychalska Proceedings of the 31st ACM International Conference on Information …, 2022 | 3 | 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 | 3 | 2020 |