Barbara Rychalska

According to our database, Barbara Rychalska authored at least 26 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multidimensional Hopfield Networks for clustering.

Gergely Stomfai, Lukasz Sienkiewicz, Barbara Rychalska

CoRR, 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

IEEE Access, 2023

Synerise Monad: A Foundation Model for Behavioral Event Data.

Barbara Rychalska, Szymon Lukasik, Jacek Dabrowski

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

The Monad Platform - Temporal Aspects in Behavioral Modeling.

Barbara Rychalska, Igor Sieradzki, Jacek Dabrowski

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Vanilla Recurrent Neural Networks for Interpretable Semantic Textual Similarity.

Piotr Andruszkiewicz, Barbara Rychalska

Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022

Synerise Monad - Real-Time Multimodal Behavioral Modeling.

Jacek Dabrowski, Barbara Rychalska

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

T-EMDE: Sketching-based global similarity for cross-modal retrieval.

Barbara Rychalska, Mikolaj Wieczorek, Jacek Dabrowski

CoRR, 2021

Cleora: A Simple, Strong and Scalable Graph Embedding Scheme.

Barbara Rychalska, Piotr Babel, Konrad Goluchowski, Andrzej Michalowski, Jacek Dabrowski

CoRR, 2021

Modeling Multi-Destination Trips with Sketch-Based Model.

Michal Daniluk, Barbara Rychalska, Konrad Goluchowski, Jacek Dabrowski

Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), 2021

Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model.

Michal Daniluk, Jacek Dabrowski, Barbara Rychalska, Konrad Goluchowski

Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

Explaining Self-Supervised Image Representations with Visual Probing.

Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

On the Unreasonable Effectiveness of Centroids in Image Retrieval.

Mikolaj Wieczorek, Barbara Rychalska, Jacek Dabrowski

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Cleora: A Simple, Strong and Scalable Graph Embedding Scheme.

Barbara Rychalska, Piotr Babel, Konrad Goluchowski, Andrzej Michalowski, Jacek Dabrowski, Przemyslaw Biecek

Proceedings of the Neural Information Processing - 28th International Conference, 2021

An Efficient Manifold Density Estimator for All Recommendation Systems.

Jacek Dabrowski, Barbara Rychalska, Michal Daniluk, Dominika Basaj, Konrad Goluchowski, Piotr Babel, Andrzej Michalowski, Adam Jakubowski

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

I know why you like this movie: Interpretable Efficient Multimodal Recommender.

Barbara Rychalska, Dominika Basaj, Jacek Dabrowski, Michal Daniluk

CoRR, 2020

An efficient manifold density estimator for all recommendation systems.

Jacek Dabrowski, Barbara Rychalska, Michal Daniluk, Dominika Basaj, Konrad Goluchowski, Piotr Babel, Andrzej Michalowski

CoRR, 2020

Multi-modal Embedding Fusion-based Recommender.

Anna Wróblewska, Jacek Dabrowski, Michal Pastuszak, Andrzej Michalowski, Michal Daniluk, Barbara Rychalska, Mikolaj Wieczorek, Sylwia Sysko-Romanczuk

CoRR, 2020

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

2019

Models in the Wild: On Corruption Robustness of Neural NLP Systems.

Barbara Rychalska, Dominika Basaj, Alicja Gosiewska, Przemyslaw Biecek

Proceedings of the Neural Information Processing - 26th International Conference, 2019

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

Proceedings of the Intelligent Methods and Big Data in Industrial Applications., 2019

2018

Are you tough enough? Framework for Robustness Validation of Machine Comprehension Systems.

Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek

CoRR, 2018

Multi-Intent Hierarchical Natural Language Understanding for Chatbots.

Barbara Rychalska, Helena T. Glabska, Anna Wróblewska

Proceedings of the Fifth International Conference on Social Networks Analysis, 2018

LAS: Language Agnostic System for Question Answering.

Dominika Basaj, Barbara Rychalska, Anna Wróblewska

Proceedings of the Fifth International Conference on Social Networks Analysis, 2018

Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System.

Barbara Rychalska, Dominika Basaj, Anna Wróblewska, Przemyslaw Biecek

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

How much should you ask? On the question structure in QA systems.

Barbara Rychalska, Dominika Basaj, Anna Wróblewska, Przemyslaw Biecek

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2016

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

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016