Instytut Informatyki i Matematyki Komputerowej - lista publikacji

1-200 z 892.

2024

888.
Przemysław Spurek, Sebastian Winczowski, Zięba Maciej , Tomasz Trzcinski, Kacper Kania, Marcin Mazur
Modeling 3D Surfaces with a Locally Conditioned Atlas, International Conference on Computational Science [ICCS](MAIN), (2024), accepted
885.
Pablo Almaraz, Piotr Kalita, Jose A. Langa, Fernando Soler-Toscano
882.
Bogdan Batko, Marcio Gameiro, Ying Hung, William Kalies, K. Mischaikow, Ewerton Vieira
879.
Matheus Cheque Bortolan, Juliana Fernandes, Juan Garcia-Fuentes, Piotr Kalita
878.
Łukasz Struski, Paweł Morkisz, Przemysław Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzciński
874.
Michał Zając, Tinne Tuytelaars, Gido van de Ven
Prediction Error-based Classification for Class-Incremental Learning, International Conference on Learning Representations [ICLR], (2024),
873.
Bartosz Zieliński, Grzegorz Rypeść, Valeriya Khan, Tomasz Trzcinski, Bartłomiej Twardowski, Sebastian Cygert
Divide and not forget: Ensemble of selectively trained experts in Continual Learning, International Conference on Learning Representations [ICLR](MAIN), (2024),
870.
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) vol. 38 (19) (2024), 21563 - 21573
869.
Adrian Suwała, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemysław Spurek, Marek Śmieja
Face Identity-Aware Disentanglement in StyleGAN, IEEE Workshop on Applications of Computer Vision [WACV], (2024), 10
868.
Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemysław Spurek
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI] vol. 38 (2024), 23623-23625
867.
Adam Roman, Lucjan Stapp, Michael Pilaeten
ISTQB Certified Tester Foundation Level. A Self-Study Guide Syllabus v4.0, Springer Verlag (połaczony z Kluwer Academic Publishing), 2024
865.
Jarosław Flis, Wojciech Słomczyński, Jacek Sokołowski, Dariusz Stolicki, Stanisław Szufa

2023

861.
Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu , Jacek Tabor
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2023),
859.
Jarosław Duda, Józef Pieprzyk, Marcin Pawłowski, Seyit Camtepe, Morawiecki Paweł, Arash Mahboubi
858.
Mateusz Olko, Michał Zając, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Łukasz Kuciński, Piotr Miłoś
Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2023),
856.
Witold Wydmański, Oleksii Bulenok, Marek Śmieja
HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023), 9
854.
Tobiasz Ciepliński, Tomasz Danel, Sabina Podlewska, Stanisław Jastrzębski
851.
Bartosz Wójcik, Marcin Przewięźlikowski, Filip Szatkowski, Maciej Wołczyk, Klaudia Bałazy, Bartłomiej Krzepkowski, Igor Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzciński
850.
Synchronizing Automata with Coinciding Cycles, Developments in Language Theory [DLT], (2023), 208-218
849.
Alesander Skała, Jakub Grela, Dominik Latoń, Katarzyna Bańczyk, Michał Markiewicz, Andrzej Ożadowicz
847.
Bartosz Zieliński, Dawid Rymarczyk, Weiwei Schultz, Adriana Borowa, Joshua Friedman, Tomasz Danel, Patrick Branigan, Michał Chałupczak, Anna Bracha, Tomasz Krawiec, Michał Warchoł, Katherine Li, Gert De Hertogh, Louis R. Ghanem, Aleksandar Stojmirovic
846.
Empirical Verification of TQED - A New Test Design Heuristic Technique, International Conference on Testing Software and Systems [ICTSS] vol. 14131, Lecture Notes in Computer Science (2023), 1-17
845.
Michał Markiewicz, Aleksander Skała, Jakub Grela, Szymon Janusz, Tadeusz Stasiak, Dominik Latoń, Andrzej Bielecki, Katarzyna Bańczyk
The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors , Energies vol. 16, Special Issue: Performance Evaluation, Thermal Comfort and Energy Efficiency in Buildings (2023), 5584
844.
ProPML: Probability Partial Multi-label Learning, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023), 1-8
843.
Bartosz Zieliński, Łukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging, European Conference on Artificial Intelligence [ECAI] vol. 372 (2023), 2210 - 2217
842.
Bartosz Zieliński, Adam Pardyl, Dawid Rymarczyk, Joanna Jaworek-Korjakowska, Dariusz Kucharski, Andrzej Brodzicki, Julia Lasek, Zofia Schneider, Iwona Kucybała, Andrzej Urbanik, Rafał Obuchowicz, Zbisław Tabor
CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer, European Conference on Artificial Intelligence [ECAI] vol. 372 (2023), 1835 - 1842
841.
Bartosz Zieliński, Dawid Rymarczyk, Joost van de Weijer , Bartłomiej Twardowski
ICICLE: Interpretable Class Incremental Continual Learning, IEEE International Conference on Computer Vision [ICCV](MAIN) vol. 2023 (2023), 1887-1898
840.
r-softmax: Generalized Softmax with Controllable Sparsity Rate, International Conference on Computational Science [ICCS] vol. Lecture Notes in Computer Science, vol 14074. Springer, Cham (2023), 137-145
839.
Mohammadreza Banaei, Klaudia Bałazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models, European Association of Computational Linguistics [EACL] vol. Findings of the Association for Computational Linguistics: EACL 2023 (2023), 1788–1805
838.
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks, European Association of Computational Linguistics [EACL] vol. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (2023), 2038–2048
837.
Tomasz Danel, Jan Łęski, Sabina Podlewska, Igor Podolak
836.
Przemysław Spurek, Karol Piczak, Jacek Tabor, Tomasz Trzciński, Filip Szatkowski
Hypernetworks build Implicit Neural Representations of Sounds, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] vol. 14172 (2023), 661–676
835.
Przemysław Spurek, Marcin Sendera, Marcin Przewięźlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor
834.
Maciej Skwirczyński, Zbisław Tabor, Julia Lasek, Zofia Schneider, Sebastian Gibała, Iwona Kucybała, Andrzej Urbanik, Rafał Obuchowicz
833.
ChiENN: Embracing Molecular Chirality with Graph Neural Networks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] vol. Lecture Notes in Computer Science(), vol 14171. Springer, Cham (2023), 36-52
832.
Michał Znaleźniak, Przemysław Rola, Patryk Kaszuba, Jacek Tabor, Marek Śmieja
Contrastive Hierarchical Clustering, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] vol. Lecture Notes in Computer Science(), vol 14169. Springer, Cham. (2023), 627–643
831.
Adam Roman, Rafał Brożek, Jarosław Hryszko
Predictive Power of Two Data Flow Metrics in Software Defect Prediction, International Conference on Evaluation of Novel Approaches to Software Engineering [ENASE], (2023), 114-125
830.
Krzysztof Misztal, Mirosław Szwed, Witold Żukowski, Rafał Kozłowski
828.
Bartosz Zieliński, Adam Pardyl, Grzegorz Rypeść, Grzegorz Kurzejamski, Tomasz Trzciński
Active Visual Exploration Based on Attention-Map Entropy, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2023), 1303-1311
826.
Bounding Evidence and Estimating Log-Likelihood in VAE, International Conference on Artificial Intelligence and Statistics [AISTATS](MAIN) vol. 206 (2023), 5036-5051
824.
Przemysław Spurek, Jacek Tabor, Marcin Sendera, Marcin Przewięźlikowski, Konrad Karanowski, Zięba Maciej
Hypershot: Few-shot learning by kernel hypernetworks, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 2469--2478
823.
Bartosz Zieliński, Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michał Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski
822.
Morawiecki Paweł, Andrii Krutsylo, Maciej Wołczyk, Marek Śmieja
Hebbian Continual Representation Learning, Hawaii International Conference on System Sciences [HICSS], (2023), 1259-1268
821.
Adrian Hill, Zachary Lebo, Miroslaw Andrejczuk, Sylwester Arabas, Piotr Dziekan, Paul Field, Andrew Gettelman, Fabian Hoffmann, Hanna Pawlowska, Ryo Onishi, Benoit Vié
820.
Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction, SIAM International Conference on Data Mining [SDM] vol. 978-1-61197-765-3 (2023), 379 - 387
818.
Daniel Wilczak, Maciej Capiński, Warwick Tucker, Jason D. Mireles James, Jan Bouwe van den Berg
816.
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts, IEEE Workshop on Applications of Computer Vision [WACV](MAIN) vol. 2023 (2023), 1481-1492
815.
SONGs: Self-Organizing Neural Graphs, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 3837-3846

2022

811.
Some results concerning careful synchronization of partial automata and subset synchronization of DFA's, International Conference on Implementation and Application of Automata [CIAA], (2022), 106-125
810.
Aleksandra Nowak, Romuald A. Janik
Discovering wiring patterns influencing neural network performance, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) [ECML PKDD] vol. Lecture Notes in Computer Science, vol 13715. Springer, Cham (2022), 631-646
806.
805.
Romuald A. Janik, Igor Podolak, Łukasz Struski, Anna Ceglarek, Koryna Lewandowska, Barbara Sikora-Wachowicz, Tadeusz Marek, Magdalena Fąfrowicz
804.
Tamal Dey, Michał Lipiński, Marian Mrozek, Ryan Slechta
Tracking dynamical features via continuation and persistence, International Symposium on Computational Geometry [SoCG], (2022), 35:1-35:17
803.
Jarosław Żygierewicz, Romuald A. Janik, Igor Podolak, Alan Drozd, Urszula Malinowska, Martyna Poziomska, Jakub Wojciechowski, Paweł Ogniewski, Paweł Niedbalski, Iwona Terczyńska, Jacek Rogala
802.
Jeongbin Park, Gilles Duvert, Alain Coulais, Gregory V. Jung, Sylwester Arabas, Brian Barker, Takeshi Enomoto, Sylvain Flinois, Oliver Gressel, Tomas Hillberg, Thibault Huillet, Jan Kohnert, Orion Poplawski, Eloi Rozier de Linage, Remi A. Solås, Luke Stagner, Ole Streicher, James Tappin, Thierry Thomas, Jingwei Wang, Christian Wimmer
GNU Data Language 1.0: a free/libre and open-source drop-in replacement for IDL/PV-WAVE, Journal of Open Source Software vol. 7(80) (2022), 4633
800.
Tamal K. Dey, Michał Lipiński, Marian Mrozek, Ryan Slechta
Tracking Dynamical Features via Continuation and Persistence, 38th International Symposium On Computational Geometry (socg 2022) (2022),
794.
Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś
Disentangling Transfer in Continual Reinforcement Learning, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2022),
793.
Tomasz Trzciński, Kamil Deja, Paweł Wawrzynski , Wojciech Masarczyk , Daniel Marczak
Multiband VAE: latent space alignment for knowledge consolidation in continual learning, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2022), 2902-2908
791.
Krzysztof Misztal, Anna Drożdż, Tomasz Kołodziej, Sonia Wróbel, Natalia Targosz-Korecka, Marek Drab, Robert jach, Carina Rząca, Magdalena Surman, Małgorzata Przybyło, Zenon Rajfur, Ewa Ł. Stępień
790.
Piotr Faliszewski, Krzysztof Sornat , Stanisław Szufa
The Complexity of Subelection Isomorphism Problems, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN), (2022), 4991-4998
789.
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes, International Conference on Neural Information Processing [ICONIP](MAIN) vol. Communications in Computer and Information Science 1794 (2022), 13–24
787.
Piotr Bartman-Szwarc, Jakub Banaśkiewicz, Szymon Drenda, Maciej Manna, Michael Olesik, Paweł Rozwoda, Michał Sadowski, Sylwester Arabas
786.
Przemysław Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Sławomir K. Tadeja, Łukasz Struski, Jacek Tabor, Tomasz Trzciński
HyperPocket: generative point cloud completion, IEEE/RSJ International Conference on Intelligent Robots and Systems [IROS], (2022), 6848-6853
785.
Batch size reconstruction-distribution trade-off in kernel based generative autoencoders, IEEE International Conference on Image Processing [ICIP], (2022), 3728-3732
784.
Piotr Gaiński, Łukasz Maziarka, Tomasz Danel, Stanisław Jastrzębski
HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI], (2022), 12949-12950
783.
On the relationship between disentanglement and multi-task learning, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN), (2022),
782.
Nonlinear Weighted Independent Component Analysis, International Conference on Information Processing and Management of Uncertainty [IPMU] vol. II (2022), 3–16
780.
Przemysław Spurek, Jacek Tabor, Piotr Tempczyk, Rafał Michaluk, Łukasz Garncarek, Adam Golinski
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood, International Conference on Machine Learning [ICML](MAIN), (2022), 21205-21231
779.
Jacek Tabor, Maciej Wołczyk, Karol Piczak, Bartosz Wójcik, Łukasz Pustelnik, Morawiecki Paweł, Tomasz Trzcinski, Przemysław Spurek
Continual Learning with Guarantees via Weight Interval Constraints, International Conference on Machine Learning [ICML](MAIN), (2022), 23897-23911
778.
Jarosław Duda, Seyit Camtepe, Arash Mahboubi, Morawiecki Paweł, Surya Nepal, Marcin Pawłowski, Józef Pieprzyk
777.
Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński
Interpretable Image Classification with Differentiable Prototypes Assignment, European Conference on Computer Vision [ECCV](MAIN) vol. Lecture Notes in Computer Science 13672 (2022), 351-368
776.
Naumov Vitalii, Olha Shulika, Oleksandra Orda, Hanna Vasiutina, Marek Bauer, Myroslav Oliskevych
774.
Bartosz Zieliński, Dawid Rymarczyk, Aneta Kaczyńska, Jarosław Kraus, Adam Pardyl, Marek Skomorowski
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN) vol. Lecture Notes in Computer Science 13713 (2022), 421-436
772.
Piotr Bartman-Szwarc, Oleksii Bulenok, Kamil Górski, Anna Jaruga, Grzegorz Łazarski, Michael Olesik, Bartosz Piasecki, Clare Singer, Aleksandra Talar, Sylwester Arabas
771.
Michael Olesik, Jakub Banaśkiewicz, Piotr Bartman-Szwarc, Manuel Baumgartner, Simon Unterstrasser, Sylwester Arabas
770.
Bernhard C. Geiger, Sophie Steger, Marek Śmieja
Semi-Supervised Clustering via Information-Theoretic Markov Chain Aggregation, ACM Symposium on Applied Computing [SAC](MAIN), (2022), 1136-1139
769.
Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Zięba Maciej , Patryk Wielopolski, Rafał Kurczab, Marek Śmieja
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) vol. 36/8 (2022), 8647-8656
766.
Łukasz Borchmann, Łukasz Garncarek, Michał Pietruszka
Sparsifying Transformer Models with Trainable Representation Pooling, Association of Computational Linguistics [ACL](MAIN), (2022),
765.
Weakly-supervised cell classification for effective High Content Screening, International Conference on Computational Science [ICCS](MAIN) vol. Lecture Notes in Computer Science 13350 (2022), 318–330
764.
Dominika Basaj, Witold Oleszkiewicz, Tomasz Trzciński, Bartosz Zieliński
Which Visual Features Impact the Performance of Target Task in Self-supervised Learning?, International Conference on Computational Science [ICCS](MAIN) vol. Lecture Notes in Computer Science 13350 (2022), 331–344
763.
Reliability- and Availability-aware Mapping of Service Function Chains in Softwarized 5G Networks vol. Lecture Notes in Networks and Systems, book series (LNNS, volume 484) (2022), "Theory and Engineering of Dependable Computer Systems and Networks", Springer
757.
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski, Jacek Tabor
MisConv: Convolutional Neural Networks for Missing Data, IEEE Workshop on Applications of Computer Vision [WACV], (2022), 2060-2069
756.
Łukasz Struski, Jacek Tabor, Szymon Bobek, Sławomir K. Tadeja, Przemysław Stachura, Timoleon Kipourus, Grzegorz Nalepa, Per Ola Kristensson

2021

750.
Wojciech Masarczyk , Kamil Deja, Tomasz Trzciński
On robustness of generative representations against catastrophic forgetting, (2021), "Neural Information Processing : 28th International Conference, ICONIP 2021 : Sanur, Bali, Indonesia, December 8-12, 2021 : proceedings, part IV", Springer
749.
Ivona Tautkute , Tomasz Trzciński
SynthTriplet GAN : synthetic query expansion formultimodal retrieval, (2021), "Neural Information Processing : 28th International Conference, ICONIP 2021 : Sanur, Bali, Indonesia, December 8-12, 2021 : proceedings, part IV", Springer
746.
744.
Łukasz Lepak, Robert Nowak, Karol Piczak, Kacper Radzikowski
743.
Michał Markiewicz, Bożena Milanovič (Z), Marta Pasenkiewicz-Gierula, Witold K. Subczynski, Robert Szczelina
742.
Bartosz Wójcik, Morawiecki Paweł, Marek Śmieja, Tomasz Krzyżek, Przemysław Spurek, Jacek Tabor
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders, International Conference on Tools with Artificial Intelligence [ICTAI], (2021), 1322-1326
741.
Missing Glow Phenomenon: learning disentangled representation of missing data, International Conference on Neural Information Processing [ICONIP] vol. vol 1516 (2021), 196-204
740.
Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Przemysław Spurek, Tomasz Trzciński, Zięba Maciej
Non-Gaussian Gaussian Processes for Few-Shot Regression, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. 34 (2021), 10285-10298
738.
Łukasz Kuciński, Piotr Miłoś, Razvan Pascanu, Maciej Wołczyk, Michał Zając
Continual World: A Robotic Benchmark For Continual Reinforcement Learning, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2021),
737.
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. 34 (2021), 1-13
736.
Łukasz Borchmann, Jurkiewicz Dawid, Filip Graliński, Michał Pietruszka, Tomasz Stanisławek, Karolina Szyndler, Michał Turski
DUE: End-to-End Document Understanding Benchmark, Advances in Neural Information Processing Systems [NeurIPS], (2021),
735.
Designing Urban Transit Network using Memetic Algorithm, IEEE Congress on Evolutionary Computation [CEC], (2021), 343-350
732.
Arash Mahboubi, Seyit Camtepe, Jarosław Duda, Surya Nepal, Morawiecki Paweł, Józef Pieprzyk
730.
Deep Learning for Modulation Classification in Two-tier Cognitive Femtocell Networks vol. Lecture Notes in Networks and Systems, LNNS, Vol. 359 (2021), "Future Technologies Conference 2021, Vol. 2", Springer
729.
728.
Karol Piczak, Michał Sadowski, Przemysław Spurek, Tomasz Trzciński
Continual Learning of 3D Point Cloud Generators, International Conference on Neural Information Processing [ICONIP] vol. vol 13108 (2021), 330-341
727.
Michał Górszczak, Bartosz Zieliński
What Pushes Self-Supervised Image Representations Away?, International Conference on Neural Information Processing [ICONIP](MAIN) vol. Communications in Computer and Information Science 1516 (2021), 514-521
726.
Rafał Jankowski, Sabina Podlewska, Agnieszka Wojtuch
725.
Andrzej Bojarski, Rafał Kurczab, Stefan Mordalski, Igor Podolak, Agnieszka Wojtuch
724.
Karl Aberer, Klaudia Bałazy, Mohammadreza Banaei, Rémi Lebret, Jacek Tabor
Direction is what you need: Improving Word Embedding Compression in Large Language Models, Proceedings of the 6th Workshop On Representation Learning for Nlp (repl4nlp-2021) (2021), 322–330
723.
Jakub Chłędowski, Carlos Fernandez-Granda, Krzysztof J. Geras, Kangning Liu, Nan Wu, Shen Yiqiu
722.
Grzegorz Gutowski, Tomasz Krawczyk, Krzysztof Maziarz, Douglas West, Xuding Zhu, Michał Zając
721.
Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Stanisław Szufa
Putting a Compass on the Map of Elections, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2021), 59-65
720.
Adriana Borowa, Anna Bracha, Maurycy Chronowski, Wojciech Ozimek, Dawid Rymarczyk, Bartosz Zieliński
Comparison of Supervised and Self-supervised Deep Representations Trained on Histological Image, World Congress on Medical and Health Informatics [MEDINFO] vol. Studies in Health Technology and Informatics 290 (2021), 1052-1053
719.
Piotr Bartman-Szwarc, Sylwester Arabas
On the Design of Monte-Carlo Particle Coagulation Solver Interface: A CPU/GPU Super-Droplet Method Case Study with PySDM, International Conference on Computational Science [ICCS] vol. 12743 (2021), 16-30
717.
Łukasz Borchmann, Jurkiewicz Dawid, Tomasz Dwojak, Pałka Gabriela, Michał Pietruszka, Powalski Rafał
Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer, IEEE International Conference on Document Analysis and Recognition [ICDAR], (2021),
716.
Bartosz Bohaterewicz, Adrian Chrobak, Dominika Dudek, Magdalena Fafrowicz, Tadeusz Marek, Dagmara Mętel, Igor Podolak, Marcin Siwek, Anna Sobczak, Bartosz Wójcik
715.
Jakub Chłędowski, Adam Polak, Bartosz Szabucki, Konrad Żołna
Robust Learning-Augmented Caching: An Experimental Study, International Conference on Machine Learning [ICML], (2021), 1920-1930
714.
Ella Barkan, Sardius Chen, Jakub Chłędowski, Linda Du, Sushma Gaddam, Krzysztof J. Geras, Flora Gilboa-Solomon, Julia Goldberg, Pablo Gómez del Campo, Sana Hava, Laura Heacock, Daniel Khapun, Eric Kim, Jiyon Lee, Alana Lewin, Robert Martí, Alexandra Millet, Linda Moy, Sindhoora Murthy, Ujas Parikh, Jungkyu Park, Shalin Patel, Anastasia Plaunova, Kristine Pysarenko, Vadim Ratner, Beatriu Reig, Michal Rosen-Zvi, Yoel Shoshan, Melanie Wegener, Jan Witowski, Stacey Wolfson, Aviad Zlotnick
Lessons from the first DBTex Challenge, vol. 3 (2021), 735–736
713.
Tomasz Danel, Agnieszka Galanty, Igor Podolak, Irma Podolak, Michał Węgrzyn
712.
Tomasz Danel, Piotr Gaiński, Stanisław Jastrzębski, Łukasz Maziarka
HuggingMolecules: an open-source library for transformer-based molecular property prediction, International Conference On Learning Representations (workshop Track) (2021),
711.
Tomasz Danel, Łukasz Maziarka
Multitask Learning Using BERT with Task-Embedded Attention, IEEE International Joint Conference on Neural Networks [IJCNN], (2021),
710.
Tomasz Danel, Łukasz Maziarka, Sabina Podlewska, Jacek Tabor, Agnieszka Wojtuch
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction, IEEE International Joint Conference on Neural Networks [IJCNN], (2021), 1-8
708.
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification, ACM International Conference on Knowledge Discovery and Data Mining [KDD](MAIN) vol. 9781450383325 (2021), 1420-1430
707.
Dominika Basaj, Michał Górszczak, Witold Oleszkiewicz, Barbara Rychalska, Igor Sieradzki, Tomasz Trzcinski, Bartosz Zieliński
Explaining Self-Supervised Image Representations with Visual Probing, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2021), 592-598
706.
Adriana Borowa, Monika Brzychczy-Włoch, Dorota Ochońska, Dawid Rymarczyk, Bartosz Zieliński
Deep learning classification of bacteria clones explained by persistence homology, IEEE International Joint Conference on Neural Networks [IJCNN] vol. 978-1-6654-3900-8 (2021), 1-8
705.
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