Computationally efficient dynamic neural networks

2023/49/N/ST6/02513

Keywords

Descriptors

  • ST6_11: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowania w przetwarzaniu sygnałów (np. mowy, obrazów, filmów)
  • ST6_07: Sztuczna inteligencja, systemy inteligentne i wieloagentowe

Panel

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

Host institution

IDEAS NCBR Sp. z o.o.

Voivodeship: mazowieckie

Other projects carried out by the institution »

Principal investigator (from the host institution)

Bartosz Wójcik

Number of co-investigators in the project: 2

Call

PRELUDIUM 22 – announced on 2023-03-16

Amount awarded
53 070 PLN
Project start date
2024-01-24
Project end date
2025-01-23
Project duration
12 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.

Information in the final report

Articles in post-conference publications (2)

  1. Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion

    Authors:
    Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane
    Conference:
    Advances in Neural Information Processing Systems 37 (NeurIPS 2024) Main Conference Track (year: 2025, volume: -, pages: -), Publisher: -
    Date:
    conference 10-15.12.2024
    Status:
    Published
    DOI:
    link to the publication
  2. Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference

    Authors:
    Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane
    Conference:
    AAAI Technical Track on Machine Learning VI (year: 2025, volume: The 39th Annual AAAI Conference on Artificial Intelligence, pages: 21510-21518), Publisher: -
    Date:
    conference 27.02.2025 - 04.03.2025
    Status:
    Published
    DOI:
    10.1609/aaai.v39i20.35453 – link to the publication

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