Projects funded by the NCN


Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Deep learning for long sequential data representation

2017/27/N/ST6/00828

Keywords:

deep learning artificial neural networks recurrent neural networks attention mechanism

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_9: Human computer interaction, speech recognition and synthesis, natural language processing

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 Konrad Żołna 

Number of co-investigators in the project: 2

Call: PRELUDIUM 14 - announced on 2017-09-15

Amount awarded: 164 500 PLN

Project start date (Y-m-d): 2018-07-31

Project end date (Y-m-d): 2021-07-30

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

Project status: Project settled

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.

Equipment purchased [PL]

  1. Wydajny laptop z kartą graficzną (7 500 PLN)
  2. Czytnik Boox Note 2.
  3. Karta graficzna NVIDIA TITAN Xp bądź podobna (6 000 PLN)
  4. Lekki laptop przenośny (4 000 PLN)

Information in the final report

  • Publication in academic press/journals (1)
  • Articles in post-conference publications (7)
  1. Classifier-agnostic saliency map extraction
    Authors:
    Konrad Zolna, Krzysztof J Geras, Kyunghyun Cho
    Academic press:
    Computer Vision and Image Understanding (rok: 2020, tom: Volume 196, strony: 102969), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.cviu.2020.102969 - link to the publication
  1. Adversarial Framing for Image and Video Classification
    Authors:
    Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O Pinheiro
    Conference:
    National Conference of the American Association for Artificial Intelligence (rok: 2019, ), Wydawca: Proceedings of the AAAI Conference on Artificial Intelligence
    Data:
    konferencja 27.01.19-01.02.19
    Status:
    Published
  2. Robust Learning-Augmented Caching: An Experimental Study
    Authors:
    Jakub Chledowski, Adam Polak, Bartosz Szabucki, Konrad Zolna
    Conference:
    International Conference on Machine Learning (rok: 2021, ), Wydawca: Proceedings of Machine Learning Research
    Data:
    konferencja 18.07.21-24.07.21
    Status:
    Published
  3. Combating False Negatives in Adversarial Imitation Learning
    Authors:
    Konrad Zolna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau and Yoshua Bengio
    Conference:
    International Joint Conference on Neural Networks (rok: 2021, ), Wydawca: IEEE
    Data:
    konferencja 18.07.21-22.07.21
    Status:
    Submitted
  4. Classifier-agnostic saliency map extraction
    Authors:
    Konrad Zolna, Krzysztof J Geras, Kyunghyun Cho
    Conference:
    National Conference of the American Association for Artificial Intelligence (rok: 2019, ), Wydawca: Proceedings of the AAAI Conference on Artificial Intelligence
    Data:
    konferencja 27.01.19-01.02.19
    Status:
    Published
  5. Task-Relevant Adversarial Imitation Learning
    Authors:
    Konrad Zolna, Scott Reed, Alexander Novikov, Sergio Gomez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
    Conference:
    Annual Conference on Robot Learning (rok: 2021, ), Wydawca: Proceedings of Machine Learning Research
    Data:
    konferencja 16.11.20-18.11.20
    Status:
    Published
  6. Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
    Authors:
    Konrad Zolna, Chitwan Saharia, Leonard Boussioux, David Yu-Tung Hui, Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Yoshua Bengio
    Conference:
    National Conference of the American Association for Artificial Intelligence (rok: 2020, ), Wydawca: Proceedings of the AAAI Conference on Artificial Intelligence
    Data:
    konferencja 07.02.20-12.02.20
    Status:
    Published
  7. Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract)
    Authors:
    Damian Stachura, Christopher Galias, Konrad Zolna
    Conference:
    National Conference of the American Association for Artificial Intelligence (rok: 2020, ), Wydawca: Proceedings of the AAAI Conference on Artificial Intelligence
    Data:
    konferencja 07.02.20-12.02.20
    Status:
    Published