Search Results for author: Konrad Karanowski

Found 5 papers, 4 papers with code

Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows

1 code implementation10 Dec 2023 Piotr Miłkowski, Konrad Karanowski, Patryk Wielopolski, Jan Kocoń, Przemysław Kazienko, Maciej Zięba

It may be solved by Personalized Natural Language Processing (PNLP), where the model exploits additional information about the reader to make more accurate predictions.

Emotion Recognition

PALS: Personalized Active Learning for Subjective Tasks in NLP

1 code implementation Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023 Kamil Kanclerz, Konrad Karanowski, Julita Bielaniewicz, Marcin Gruza, Piotr Miłkowski, Jan Kocon, Przemyslaw Kazienko

In this paper, we present novel Personalized Active Learning techniques for Subjective NLP tasks (PALS) to either reduce the cost of the annotation process or to boost the learning effect.

Active Learning

Continual learning on 3D point clouds with random compressed rehearsal

no code implementations16 May 2022 Maciej Zamorski, Michał Stypułkowski, Konrad Karanowski, Tomasz Trzciński, Maciej Zięba

By using rehearsal and reconstruction as regularization methods of the learning process, our approach achieves a significant decrease of catastrophic forgetting compared to the existing solutions on several most popular point cloud datasets considering two continual learning settings: when a task is known beforehand, and in the challenging scenario of when task information is unknown to the model.

Continual Learning Visual Reasoning

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