Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity. - Barbara Rychalska; Katarzyna Pakulska; Krystyna Chodorowska; Wojciech Walczak; Piotr Andruszkiewicz (SemEval@NAACL-HLT, 2016)

How much should you ask? On the question structure in QA systems. - Barbara Rychalska; Dominika Basaj; Anna Wróblewska; Przemyslaw Biecek (BlackboxNLP@EMNLP, 2018)

Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System. - Barbara Rychalska; Dominika Basaj; Anna Wróblewska; Przemyslaw Biecek (BlackboxNLP@EMNLP, 2018)

LAS: Language Agnostic System for Question Answering. - Dominika Basaj; Barbara Rychalska; Anna Wróblewska (SNAMS, 2018)

Multi-Intent Hierarchical Natural Language Understanding for Chatbots. - Barbara Rychalska; Helena T. Glabska; Anna Wróblewska (SNAMS, 2018)

Are you tough enough? Framework for Robustness Validation of Machine Comprehension Systems. - Barbara Rychalska; Dominika Basaj; Przemyslaw Biecek (CoRR, 2018)

To Improve, or Not to Improve; How Changes in Corpora Influence the Results of Machine Learning Tasks on the Example of Datasets Used for Paraphrase Identification. - Krystyna Chodorowska; Barbara Rychalska; Katarzyna Pakulska; Piotr Andruszkiewicz (Intelligent Methods and Big Data in Industrial Applications, 2019)

Models in the Wild: On Corruption Robustness of Neural NLP Systems. - Barbara Rychalska; Dominika Basaj; Alicja Gosiewska; Przemyslaw Biecek (ICONIP (3), 2019)

Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation. - Prathyusha Jwalapuram; Barbara Rychalska; Shafiq R. Joty; Dominika Basaj (CoRR, 2020)

Multi-modal Embedding Fusion-based Recommender. - Anna Wróblewska; Jacek Dabrowski 004; Michal Pastuszak; Andrzej Michalowski; Michal Daniluk; Barbara Rychalska; Mikolaj Wieczorek; Sylwia Sysko-Romanczuk (CoRR, 2020)

An efficient manifold density estimator for all recommendation systems. - Jacek Dabrowski 004; Barbara Rychalska; Michal Daniluk; Dominika Basaj; Konrad Goluchowski; Piotr Babel; Andrzej Michalowski (CoRR, 2020)

I know why you like this movie: Interpretable Efficient Multimodal Recommender. - Barbara Rychalska; Dominika Basaj; Jacek Dabrowski 004; Michal Daniluk (CoRR, 2020)

An Efficient Manifold Density Estimator for All Recommendation Systems. - Jacek Dabrowski 004; Barbara Rychalska; Michal Daniluk; Dominika Basaj; Konrad Goluchowski; Piotr Babel; Andrzej Michalowski; Adam Jakubowski (ICONIP (4), 2021)

Cleora: A Simple, Strong and Scalable Graph Embedding Scheme. - Barbara Rychalska; Piotr Babel; Konrad Goluchowski; Andrzej Michalowski; Jacek Dabrowski 004; Przemyslaw Biecek (ICONIP (4), 2021)

On the Unreasonable Effectiveness of Centroids in Image Retrieval. - Mikolaj Wieczorek; Barbara Rychalska; Jacek Dabrowski 004 (ICONIP (4), 2021)

Explaining Self-Supervised Image Representations with Visual Probing. - Dominika Basaj; Witold Oleszkiewicz; Igor Sieradzki; Michal Górszczak; Barbara Rychalska; Tomasz Trzcinski; Bartosz Zielinski 001 (IJCAI, 2021)

Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model. - Michal Daniluk; Jacek Dabrowski 004; Barbara Rychalska; Konrad Goluchowski (RecSys Challenge, 2021)

Modeling Multi-Destination Trips with Sketch-Based Model. - Michal Daniluk; Barbara Rychalska; Konrad Goluchowski; Jacek Dabrowski 004 (WebTour@WSDM, 2021)

Cleora: A Simple, Strong and Scalable Graph Embedding Scheme. - Barbara Rychalska; Piotr Babel; Konrad Goluchowski; Andrzej Michalowski; Jacek Dabrowski 004 (CoRR, 2021)

T-EMDE: Sketching-based global similarity for cross-modal retrieval. - Barbara Rychalska; Mikolaj Wieczorek; Jacek Dabrowski 004 (CoRR, 2021)

Synerise Monad - Real-Time Multimodal Behavioral Modeling. - Jacek Dabrowski 004; Barbara Rychalska (CIKM, 2022)

Vanilla Recurrent Neural Networks for Interpretable Semantic Textual Similarity. - Piotr Andruszkiewicz; Barbara Rychalska (PACLIC, 2022)

The Monad Platform - Temporal Aspects in Behavioral Modeling. - Barbara Rychalska; Igor Sieradzki; Jacek Dabrowski 004 (ECAI, 2023)

Synerise Monad: A Foundation Model for Behavioral Event Data. - Barbara Rychalska; Szymon Lukasik; Jacek Dabrowski 004 (SIGIR, 2023)

Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. - Witold Oleszkiewicz; Dominika Basaj; Igor Sieradzki; Michal Górszczak; Barbara Rychalska; Koryna Lewandowska; Tomasz Trzcinski; Bartosz Zielinski 001 (IEEE Access, 2023)

Multidimensional Hopfield Networks for clustering. - Gergely Stomfai; Lukasz Sienkiewicz; Barbara Rychalska (CoRR, 2023)