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pro vyhledávání: '"high-level features"'
Autor:
Kelm, André, Hannemann, Niels, Heberle, Bruno, Schmidt, Lucas, Rolff, Tim, Wilms, Christian, Yaghoubi, Ehsan, Frintrop, Simone
This study introduces a novel expert generation method that dynamically reduces task and computational complexity without compromising predictive performance. It is based on a new hierarchical classification network topology that combines sequential
Externí odkaz:
http://arxiv.org/abs/2403.05601
Akademický článek
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Publikováno v:
JHEP 07 (2024) 146
Recent advancements in deep learning models have significantly enhanced jet classification performance by analyzing low-level features (LLFs). However, this approach often leads to less interpretable models, emphasizing the need to understand the dec
Externí odkaz:
http://arxiv.org/abs/2312.11760
Given the great threat of adversarial attacks against Deep Neural Networks (DNNs), numerous works have been proposed to boost transferability to attack real-world applications. However, existing attacks often utilize advanced gradient calculation or
Externí odkaz:
http://arxiv.org/abs/2304.10136
Autor:
Dinges, Laslo, Fiedler, Marc-André, Al-Hamadi, Ayoub, Hempel, Thorsten, Abdelrahman, Ahmed, Weimann, Joachim, Bershadskyy, Dmitri
Deception detection is an interdisciplinary field attracting researchers from psychology, criminology, computer science, and economics. We propose a multimodal approach combining deep learning and discriminative models for automated deception detecti
Externí odkaz:
http://arxiv.org/abs/2307.06625
Autor:
Xue, D.1,2,3 (AUTHOR), Corral, J. Vazquez2,3 (AUTHOR), Herranz, L.2,3 (AUTHOR), Zhang, Y.1 (AUTHOR), Brown, M. S.4 (AUTHOR)
Publikováno v:
Computer Graphics Forum. Oct2023, Vol. 42 Issue 7, p1-13. 13p. 6 Color Photographs, 1 Diagram, 1 Chart, 4 Graphs.
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 7, Pp 1-36 (2024)
Abstract Recent advancements in deep learning models have significantly enhanced jet classification performance by analyzing low-level features (LLFs). However, this approach often leads to less interpretable models, emphasizing the need to understan
Externí odkaz:
https://doaj.org/article/e9f06de64f254ac9afb2f9e158202356
Akademický článek
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Autor:
Čermák, Vojtěch, Adam, Lukáš
We propose a novel method for creating adversarial examples. Instead of perturbing pixels, we use an encoder-decoder representation of the input image and perturb intermediate layers in the decoder. This changes the high-level features provided by th
Externí odkaz:
http://arxiv.org/abs/2110.07182
Abstraction is an important aspect of intelligence which enables agents to construct robust representations for effective decision making. In the last decade, deep networks are proven to be effective due to their ability to form increasingly complex
Externí odkaz:
http://arxiv.org/abs/2106.10354