| 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 |
| 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 |
| An efficient manifold density estimator for all recommendation systems J D±browski, B Rychalska, M Daniluk, D Basaj, K Gołuchowski, P B±bel, ... Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 17 | 2021 |
| Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System B Rychalska, D Basaj, P Biecek, A Wroblewska Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 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 NeurIPS 2018 Interpretability and robustness in audio, speech and language …, 2018 | 7 | 2018 |
| 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 |
| 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 |
| I know why you like this movie: Interpretable Efficient Multimodal Recommender B Rychalska, D Basaj, J D±browski, M Daniluk arXiv preprint arXiv:2006.09979, 2020 | 3 | 2020 |
| Visual probing: Cognitive framework for explaining self-supervised image representations W Oleszkiewicz, D Basaj, I Sieradzki, M Górszczak, B Rychalska, ... IEEE Access 11, 13028-13043, 2023 | 2 | 2023 |
| Synerise at SIGIR Rakuten Data Challenge 2020: Efficient Manifold Density Estimator for Multimodal Classification D Basaj, B Rychalska, J D±browski, K Gołuchowski Sigir E-commerce Workshop. Retrieved from https://sigir-ecom. github. io …, 2020 | 2 | 2020 |
| LAS: Language Agnostic System for Question Answering D Basaj, B Rychalska, A Wróblewska 2018 Fifth International Conference on Social Networks Analysis, Management …, 2018 | 2 | 2018 |
| Which visual features impact the performance of target task in self-supervised learning? W Oleszkiewicz, D Basaj, T Trzciński, B Zieliński International Conference on Computational Science, 331-344, 2022 | | 2022 |
| DiP Benchmark Tests: Evaluation Benchmarks for Discourse Phenomena in MT P Jwalapuram, B Rychalska, S Joty, D Basaj | | |
Przemyslaw BiecekWarsaw University of TechnologyVerified email at mimuw.edu.pl
