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Barbara Rychalska
Barbara Rychalska
Verified email at mini.pw.edu.pl
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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
622016
On the unreasonable effectiveness of centroids in image retrieval
M Wieczorek, B Rychalska, J D±browski
International Conference on Neural Information Processing, 212-223, 2021
152021
Multi-intent hierarchical natural language understanding for chatbots
B Rychalska, H Glabska, A Wróblewska
2018 Fifth international conference on social networks analysis, management …, 2018
132018
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
112021
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
102019
Cleora: A simple, strong and scalable graph embedding scheme
B Rychalska, P B±bel, K Gołuchowski, A Michałowski, J D±browski, ...
International Conference on Neural Information Processing, 338-352, 2021
92021
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
82018
An efficient manifold density estimator for all recommendation systems
J D±browski, B Rychalska, M Daniluk, D Basaj, K Gołuchowski, P B±bel, ...
International Conference on Neural Information Processing, 323-337, 2021
52021
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
52020
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
52016
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
Modeling Multi-Destination Trips with Sketch-Based Model
M Daniluk, B Rychalska, K Gołuchowski, J D±browski
arXiv preprint arXiv:2102.11252, 2021
32021
Are you tough enough? framework for robustness validation of machine comprehension systems
B Rychalska, D Basaj, P Biecek
arXiv preprint arXiv:1812.02205, 2018
32018
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
22020
Multi-modal embedding fusion-based recommender
A Wroblewska, J Dabrowski, M Pastuszak, A Michalowski, M Daniluk, ...
arXiv preprint arXiv:2005.06331, 2020
22020
Synerise at SIGIR Rakuten Data Challenge 2020: Efficient Manifold Density Estimator for Multimodal Classification
D Basaj, B Rychalska, J D±browski, K Gołuchowski
22020
Synerise at SIGIR Rakuten Data Challenge 2020: Efficient Manifold Density Estimator for Cross-Modal Retrieval
B Rychalska, J Dabrowski
SIGIR eCom Challenge 2020, 2020
22020
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
22018
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
22018
Visual probing: Cognitive framework for explaining self-supervised image representations
W Oleszkiewicz, D Basaj, I Sieradzki, M Górszczak, B Rychalska, ...
arXiv preprint arXiv:2106.11054, 2021
12021
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