Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Interpretable and sustainable artificial intelligence with intuitive explanations

2022/47/B/ST6/03397

Keywords:

interpretable machine learning computer vision deep neural networks case-based reasoning representation learning continual learning sustainable artificial intelligence

Descriptors:

  • ST6_011:

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

woj. małopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Bartosz Michał Zieliński 

Number of co-investigators in the project: 5

Call: OPUS 24 - announced on 2022-07-15

Amount awarded: 995 349 PLN

Project start date (Y-m-d): 2023-06-27

Project end date (Y-m-d): 2026-06-26

Project duration:: 36 months (the same as in the proposal)

Project status: Pending project

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (6)
  1. Augmentation-aware Self-Supervised Learning with Conditioned Projector
    Authors:
    Marcin Przewięźlikowski, Mateusz Pyla, Bartosz Zieliński, Bartłomiej Twardowski, Jacek Tabor, Marek Śmieja
    Academic press:
    Knowledge-Based Systems (rok: 2024, tom: 305, strony: 46032), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.knosys.2024.112572 - link to the publication
  2. Decoding phenotypic screening: A comparative analysis of image representations
    Authors:
    Adriana Borowa, Dawid Rymarczyk, Marek Żyła, Maciej Kańduła, Ana Sánchez-Fernández, Krzysztof Rataj, Łukasz Struski, Jacek Tabor, Bartosz Zieliński
    Academic press:
    Computational and Structural Biotechnology Journal (rok: 2024, tom: 23, strony: 1181 - 1188), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.csbj.2024.02.022 - link to the publication
  1. ProtoNCD: Prototypical Parts for Interpretable Novel Class Discovery
    Authors:
    Tomasz Michalski, Dawid Rymarczyk, Daniel Barczyk, Bartosz Zieliński
    Conference:
    Computational Intelligence and Machine Learning (rok: 2024, tom: European Symposium on Artificial Neural Networks, strony: 273 - 278), Wydawca: i6doc
    Data:
    konferencja 2024-10-09 - 2024-10-11
    Status:
    Published
    DOI:
    10.14428/esann/2024.ES2024-70 - link to the publication
  2. Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
    Authors:
    Mikołaj Sacha, Bartosz Jura, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński
    Conference:
    Proceedings of AAAI Conference on Artificial Intelligence (rok: 2024, tom: AAAI Conference on Artificial Intelligence, strony: 21563 - 21573), Wydawca: AAAI Press
    Data:
    konferencja 2024-02-20 - 2024-02-27
    Status:
    Published
    DOI:
    10.1609/aaai.v38i19.30154 - link to the publication
  3. Divide and not forget: Ensemble of selectively trained experts in Continual Learning
    Authors:
    Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Michał Zieliński, Bartłomiej Twardowski
    Conference:
    Proceedings of International Conference on Learning Representations (rok: 2024, tom: International Conference on Learning Representations, strony: 46040), Wydawca: OpenReview
    Data:
    konferencja 2024-05-07 - 2024-05-11
    Status:
    Published
    DOI:
    link to the publication
  4. Revisiting FunnyBirds Evaluation Framework for Prototypical Parts Networks
    Authors:
    Szymon Opłatek, Dawid Rymarczyk, Bartosz Zieliński
    Conference:
    Communications in Computer and Information Science (rok: 2024, tom: Explainable Artificial Intelligence, strony: 57 - 68), Wydawca: Springer
    Data:
    konferencja 2024-07-17 - 2024-07-19
    Status:
    Published
    DOI:
    10.1007/978-3-031-63787-2_4 - link to the publication
  5. A Deep Cut Into Split Federated Self-Supervised Learning
    Authors:
    Marcin Przewięźlikowski, Marcin Osial, Bartosz Zieliński, Marek Śmieja
    Conference:
    Lecture Notes in Computer Science (rok: 2024, tom: European Conference on Machine Learning and Knowledge Discovery in Databases, strony: 444 - 459), Wydawca: Springer
    Data:
    konferencja 2024-09-09 - 2024-09-13
    Status:
    Published
    DOI:
    10.1007/978-3-031-70344-7_26 - link to the publication
  6. AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale
    Authors:
    Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzciński, Bartosz Zieliński
    Conference:
    Lecture Notes in Computer Science (rok: 2024, tom: European Conference on Computer Vision, strony: 112 - 129), Wydawca: Springer
    Data:
    konferencja 2024-09-29 - 2024-10-04
    Status:
    Published
    DOI:
    10.1007/978-3-031-72664-4_7 - link to the publication

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