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Dominika Basaj
Dominika Basaj
Tooploox
Verified email at mini.pw.edu.pl
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Cited by
Year
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
342019
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
192021
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
152021
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
92018
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
72020
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
72018
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
52021
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
52018
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
32020
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
22023
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
22020
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
2020
LAS: Language Agnostic System for Question Answering
D Basaj, B Rychalska, A Wróblewska
2018 Fifth International Conference on Social Networks Analysis, Management …, 2018
2018
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