Katedra Uczenia Maszynowego - lista publikacji
Nadjednostka:
1-33 z 33.
2022
33.
Romuald A. Janik, Igor Podolak, Łukasz Struski, Anna Ceglarek, Koryna Lewandowska, Barbara Sikora-Wachowicz, Tadeusz Marek, Magdalena Fąfrowicz
32.
Jarosław Żygierewicz, Romuald A. Janik, Igor Podolak, Alan Drozd, Urszula Malinowska, Martyna Poziomska, Jakub Wojciechowski, Paweł Ogniewski, Paweł Niedbalski, Iwona Terczyńska, Jacek Rogala
31.
Tomasz Danel, Agnieszka Wojtuch, Sabina Podlewska
30.
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
29.
SLOVA: Uncertainty estimation using single label one-vs-all classifier, Applied Soft Computing Journal vol. 126 (2022), 109219
28.
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
27.
26.
Piotr Bartman-Szwarc, Jakub Banaśkiewicz, Szymon Drenda, Maciej Manna, Michael Olesik, Paweł Rozwoda, Michał Sadowski, Sylwester Arabas
PyMPDATA v1: Numba-accelerated implementation of MPDATA with examples in Python, Julia and Matlab, Journal of Open Source Software vol. 7(77) (2022), 3896
25.
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
24.
Batch size reconstruction-distribution trade-off in kernel based generative autoencoders, IEEE International Conference on Image Processing [ICIP], (2022), 3728-3732
23.
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
22.
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),
21.
Nonlinear Weighted Independent Component Analysis, International Conference on Information Processing and Management of Uncertainty [IPMU] vol. II (2022), 3–16
20.
Target layer regularization for continual learning using Cramer-Wold distance, Information Sciences vol. 609 (2022), 1369-1380
19.
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
18.
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
17.
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
16.
Naumov Vitalii, Olha Shulika, Oleksandra Orda, Hanna Vasiutina, Marek Bauer, Myroslav Oliskevych
15.
Rafał Kucharski, Cats Oded
Simulating two-sided mobility platforms with MaaSSim, PLoS One vol. 17(6) (2022), e0269682
14.
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
13.
LocoGAN—Locally convolutional GAN, Computer Vision and Image Understanding vol. 221 (2022), 103462
12.
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
11.
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
10.
Romuald A. Janik, Igor Podolak, Łukasz Struski, Anna Ceglarek, Koryna Lewandowska, Barbara Sikora-Wachowicz, Tadeusz Marek, Magdalena Fafrowicz
9.
Łukasz Borchmann, Łukasz Garncarek, Michał Pietruszka
Sparsifying Transformer Models with Trainable Representation Pooling, Association of Computational Linguistics [ACL](MAIN), (2022),
8.
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
7.
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
6.
Generative models with kernel distance in data space, Neurocomputing vol. 487 (2022), 119-129
5.
Banet Krystian, Rafał Kucharski, Naumov Vitalii
Using city-bike stopovers to reveal spatial patterns of urban attractiveness, Current Issues in Tourism vol. 25 (2022), 2887-2904
4.
Fielbaum Andres, Alonso-Mora Javier, Rafał Kucharski, Cats Oded
3.
MisConv: Convolutional Neural Networks for Missing Data, IEEE Workshop on Applications of Computer Vision [WACV], (2022), 2060-2069
2.
Łukasz Struski, Jacek Tabor, Szymon Bobek, Sławomir K. Tadeja, Przemysław Stachura, Timoleon Kipourus, Grzegorz Nalepa, Per Ola Kristensson