Barbara Rychalska

32 papers A* 2A 2C 1Journal 15Unranked 11

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Multidimensional Hopfield Networks for clustering. CoRR Gergely Stomfai, Lukasz Sienkiewicz, Barbara Rychalska
2023	A*	`conf`	Synerise Monad: A Foundation Model for Behavioral Event Data. SIGIR Barbara Rychalska, Szymon Lukasik, Jacek Dabrowski
2023	A	`conf`	The Monad Platform - Temporal Aspects in Behavioral Modeling. ECAI Barbara Rychalska, Igor Sieradzki, Jacek Dabrowski
2023	J	`jnl`	Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. IEEE Access Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski, Bartosz Zielinski
2022	A	`conf`	Synerise Monad - Real-Time Multimodal Behavioral Modeling. CIKM Jacek Dabrowski, Barbara Rychalska
2022	C	`conf`	Vanilla Recurrent Neural Networks for Interpretable Semantic Textual Similarity. PACLIC Piotr Andruszkiewicz, Barbara Rychalska
2021	—	`conf`	An Efficient Manifold Density Estimator for All Recommendation Systems. ICONIP (4) Jacek Dabrowski, Barbara Rychalska, Michal Daniluk, Dominika Basaj, Konrad Goluchowski, Piotr Babel, Andrzej Michalowski, Adam Jakubowski
2021	—	`conf`	Cleora: A Simple, Strong and Scalable Graph Embedding Scheme. ICONIP (4) Barbara Rychalska, Piotr Babel, Konrad Goluchowski, Andrzej Michalowski, Jacek Dabrowski, Przemyslaw Biecek
2021	J	`jnl`	Cleora: A Simple, Strong and Scalable Graph Embedding Scheme. CoRR Barbara Rychalska, Piotr Babel, Konrad Goluchowski, Andrzej Michalowski, Jacek Dabrowski
2021	A*	`conf`	Explaining Self-Supervised Image Representations with Visual Probing. IJCAI Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski
2021	—	`conf`	Modeling Multi-Destination Trips with Sketch-Based Model. WebTour@WSDM Michal Daniluk, Barbara Rychalska, Konrad Goluchowski, Jacek Dabrowski
2021	J	`jnl`	Modeling Multi-Destination Trips with Sketch-Based Model. CoRR Michal Daniluk, Barbara Rychalska, Konrad Goluchowski, Jacek Dabrowski
2021	—	`conf`	On the Unreasonable Effectiveness of Centroids in Image Retrieval. ICONIP (4) Mikolaj Wieczorek, Barbara Rychalska, Jacek Dabrowski
2021	J	`jnl`	On the Unreasonable Effectiveness of Centroids in Image Retrieval. CoRR Mikolaj Wieczorek, Barbara Rychalska, Jacek Dabrowski
2021	—	`conf`	Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model. RecSys Challenge Michal Daniluk, Jacek Dabrowski, Barbara Rychalska, Konrad Goluchowski
2021	J	`jnl`	Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model. CoRR Michal Daniluk, Jacek Dabrowski, Barbara Rychalska, Konrad Goluchowski
2021	J	`jnl`	T-EMDE: Sketching-based global similarity for cross-modal retrieval. CoRR Barbara Rychalska, Mikolaj Wieczorek, Jacek Dabrowski
2021	J	`jnl`	Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. CoRR Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski, Bartosz Zielinski
2020	J	`jnl`	An efficient manifold density estimator for all recommendation systems. CoRR Jacek Dabrowski, Barbara Rychalska, Michal Daniluk, Dominika Basaj, Konrad Goluchowski, Piotr Babel, Andrzej Michalowski
2020	J	`jnl`	Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation. CoRR Prathyusha Jwalapuram, Barbara Rychalska, Shafiq R. Joty, Dominika Basaj
2020	J	`jnl`	I know why you like this movie: Interpretable Efficient Multimodal Recommender. CoRR Barbara Rychalska, Dominika Basaj, Jacek Dabrowski, Michal Daniluk
2020	J	`jnl`	Multi-modal Embedding Fusion-based Recommender. CoRR Anna Wróblewska, Jacek Dabrowski, Michal Pastuszak, Andrzej Michalowski, Michal Daniluk, Barbara Rychalska, Mikolaj Wieczorek, Sylwia Sysko-Romanczuk
2019	—	`conf`	Models in the Wild: On Corruption Robustness of Neural NLP Systems. ICONIP (3) Barbara Rychalska, Dominika Basaj, Alicja Gosiewska, Przemyslaw Biecek
2019	—	`ch.`	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. Intelligent Methods and Big Data in Industrial Applications Krystyna Chodorowska, Barbara Rychalska, Katarzyna Pakulska, Piotr Andruszkiewicz
2018	J	`jnl`	Are you tough enough? Framework for Robustness Validation of Machine Comprehension Systems. CoRR Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek
2018	—	`conf`	Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System. BlackboxNLP@EMNLP Barbara Rychalska, Dominika Basaj, Anna Wróblewska, Przemyslaw Biecek
2018	J	`jnl`	Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System. CoRR Barbara Rychalska, Dominika Basaj, Przemyslaw Biecek, Anna Wróblewska
2018	—	`conf`	How much should you ask? On the question structure in QA systems. BlackboxNLP@EMNLP Barbara Rychalska, Dominika Basaj, Anna Wróblewska, Przemyslaw Biecek
2018	J	`jnl`	How much should you ask? On the question structure in QA systems. CoRR Dominika Basaj, Barbara Rychalska, Przemyslaw Biecek, Anna Wróblewska
2018	—	`conf`	LAS: Language Agnostic System for Question Answering. SNAMS Dominika Basaj, Barbara Rychalska, Anna Wróblewska
2018	—	`conf`	Multi-Intent Hierarchical Natural Language Understanding for Chatbots. SNAMS Barbara Rychalska, Helena T. Glabska, Anna Wróblewska
2016	—	`conf`	Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity. SemEval@NAACL-HLT Barbara Rychalska, Katarzyna Pakulska, Krystyna Chodorowska, Wojciech Walczak, Piotr Andruszkiewicz