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ORCIDKonrad Karanowski
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2020 – today
- 2023
[j4]Maciej Zamorski
, Michal Stypulkowski, Konrad Karanowski, Tomasz Trzcinski, Maciej Zieba:
Continual learning on 3D point clouds with random compressed rehearsal. Comput. Vis. Image Underst. 228: 103621 (2023)- [j3]Przemyslaw Kazienko, Julita Bielaniewicz, Marcin Gruza, Kamil Kanclerz, Konrad Karanowski, Piotr Milkowski, Jan Kocon:
Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor. Inf. Fusion 94: 43-65 (2023) - [j2]Marcin Sendera, Marcin Przewiezlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
The general framework for few-shot learning by kernel HyperNetworks. Mach. Vis. Appl. 34(4): 53 (2023) - [j1]Martin Tabakov, Krzysztof Galus, Artur Zawisza, Adam R. Chlopowiec, Adrian B. Chlopowiec, Konrad Karanowski:
Synthetic Data Generation for Morphological Analyses of Histopathology Images with Deep Learning Models. Vietnam. J. Comput. Sci. 10(3): 373-389 (2023) - [c7]Kamil Kanclerz, Konrad Karanowski, Julita Bielaniewicz, Marcin Gruza, Piotr Milkowski, Jan Kocon, Przemyslaw Kazienko:
PALS: Personalized Active Learning for Subjective Tasks in NLP. EMNLP 2023: 13326-13341 - [c6]Piotr Milkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocon, Przemyslaw Kazienko, Maciej Zieba:
Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows. ICDM (Workshops) 2023: 757-766 - [c5]Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
HyperShot: Few-Shot Learning by Kernel HyperNetworks. WACV 2023: 2468-2477 - [i3]Piotr Milkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocon, Przemyslaw Kazienko, Maciej Zieba:
Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows. CoRR abs/2312.06034 (2023) - 2022
- [c4]Martin Tabakov, Konrad Karanowski, Adam R. Chlopowiec, Adrian B. Chlopowiec, Mikolaj Kasperek:
Data Augmentation for Morphological Analysis of Histopathological Images Using Deep Learning. ICCCI 2022: 95-105 - [c3]Julita Bielaniewicz, Kamil Kanclerz, Piotr Milkowski, Marcin Gruza, Konrad Karanowski, Przemyslaw Kazienko, Jan Kocon:
Deep-SHEEP: Sense of Humor Extraction from Embeddings in the Personalized Context. ICDM (Workshops) 2022: 967-974 - [c2]Kamil Kanclerz, Marcin Gruza, Konrad Karanowski, Julita Bielaniewicz, Piotr Milkowski, Jan Kocon, Przemyslaw Kazienko:
What If Ground Truth Is Subjective? Personalized Deep Neural Hate Speech Detection. NLPerspectives@LREC 2022: 37-45 - [i2]Marcin Sendera, Marcin Przewiezlikowski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, Przemyslaw Spurek:
HyperShot: Few-Shot Learning by Kernel HyperNetworks. CoRR abs/2203.11378 (2022) - [i1]Maciej Zamorski, Michal Stypulkowski, Konrad Karanowski, Tomasz Trzcinski, Maciej Zieba:
Continual learning on 3D point clouds with random compressed rehearsal. CoRR abs/2205.08013 (2022) - 2021
- [c1]Artur Zawisza, Martin Tabakov, Konrad Karanowski, Krzysztof Galus:
Morphological Analysis of Histopathological Images Using Deep Learning. ICCCI (CCIS Volume) 2021: 134-145
Coauthor Index
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