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pro vyhledávání: '"Saria, P."'
With the growing prominence of the Mixture of Experts (MoE) architecture in developing large-scale foundation models, we investigate the Hierarchical Mixture of Experts (HMoE), a specialized variant of MoE that excels in handling complex inputs and i
Externí odkaz:
http://arxiv.org/abs/2410.02935
Autor:
Stamatina Nikolopoulou, Dimitar Berov, Stefania Klayn, Lyubomir Dimitrov, Kiril Velkovsky, Eva Chatzinikolaou, Giorgos Chatzigeorgiou, Ventzislav Karamfilov, Christina Pavloudi
Publikováno v:
Biodiversity Data Journal, Vol 9, Iss , Pp 1-14 (2021)
Habitat mapping is nеcessary for the efficient conservation and protection of marine ecosystems. In addition, it is a requirement for EU Member States as stated in the European Union (EU) Habitats Directive (92/43/EEC), as well as necessary for the
Externí odkaz:
https://doaj.org/article/929d7fcd1d804e93aab34f2ccedd6de7
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Akademický článek
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As artificial intelligence (AI) / machine learning (ML) gain widespread adoption, practitioners are increasingly seeking means to quantify and control the risk these systems incur. This challenge is especially salient when such systems have autonomy
Externí odkaz:
http://arxiv.org/abs/2405.06627
Autor:
Narendra Narisetti, Michael Henke, Christiane Seiler, Rongli Shi, Astrid Junker, Thomas Altmann, Evgeny Gladilin
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
Abstract Quantitative characterization of root system architecture and its development is important for the assessment of a complete plant phenotype. To enable high-throughput phenotyping of plant roots efficient solutions for automated image analysi
Externí odkaz:
https://doaj.org/article/a51fcfac80354d729ece98048c640e80
Autor:
Miao, Brenda Y., Chen, Irene Y., Williams, Christopher YK, Davidson, Jaysón, Garcia-Agundez, Augusto, Sun, Shenghuan, Zack, Travis, Saria, Suchi, Arnaout, Rima, Quer, Giorgio, Sadaei, Hossein J., Torkamani, Ali, Beaulieu-Jones, Brett, Yu, Bin, Gianfrancesco, Milena, Butte, Atul J., Norgeot, Beau, Sushil, Madhumita
Recent advances in generative models, including large language models (LLMs), vision language models (VLMs), and diffusion models, have accelerated the field of natural language and image processing in medicine and marked a significant paradigm shift
Externí odkaz:
http://arxiv.org/abs/2403.02558
As machine learning models in critical fields increasingly grapple with multimodal data, they face the dual challenges of handling a wide array of modalities, often incomplete due to missing elements, and the temporal irregularity and sparsity of col
Externí odkaz:
http://arxiv.org/abs/2402.03226
The ever-increasing demand for data services and the proliferation of user equipment (UE) have resulted in a significant rise in the volume of mobile traffic. Moreover, in multi-band networks, non-uniform traffic distribution among different operatio
Externí odkaz:
http://arxiv.org/abs/2401.13792