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Barbara Rychalska
Barbara Rychalska
Zweryfikowany adres z mini.pw.edu.pl
Tytuł
Cytowane przez
Cytowane przez
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On the unreasonable effectiveness of centroids in image retrieval
M Wieczorek, B Rychalska, J Dąbrowski
Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021
1002021
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
762016
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
322019
Multi-intent hierarchical natural language understanding for chatbots
B Rychalska, H Glabska, A Wroblewska
2018 Fifth international conference on social networks analysis, management …, 2018
242018
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
172021
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
162021
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
142021
Designing Multi-Modal Embedding Fusion-Based Recommender
A Wróblewska, J Dąbrowski, M Pastuszak, A Michałowski, M Daniluk, ...
Electronics 11 (9), 1391, 2022
92022
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
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
arXiv preprint arXiv:1812.02205, 2018
72018
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
62021
Synerise at sigir rakuten data challenge 2020: Efficient manifold density estimator for cross-modal retrieval
B Rychalska, J Dabrowski
SIGIR eCom Challenge 2020, 2020
62020
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
62016
Modeling Multi-Destination Trips with Sketch-Based Model
M Daniluk, B Rychalska, K Gołuchowski, J Dąbrowski
arXiv preprint arXiv:2102.11252, 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
An efficient manifold density estimator for all recommendation systems
J Dabrowski, B Rychalska, M Daniluk, D Basaj, K Gołuchowski, P Babel, ...
stat 1050, 5, 2020
42020
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
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 kdd cup 2021: Node classification in massive heterogeneous graphs
M Daniluk, J Dabrowski, B Rychalska, K Gołuchowski
KDD Cup OGB Challenge 2021, 2021
22021
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