Zobrazeno 1 - 9
of 9
pro vyhledávání: '"mixed-precision learning"'
Autor:
Shamma Nasrin, Ahish Shylendra, Nastaran Darabi, Theja Tulabandhula, Wilfred Gomes, Ankush Chakrabarty, Amit Ranjan Trivedi
Publikováno v:
IEEE Access, Vol 10, Pp 81447-81457 (2022)
This work proposes a novel Energy-aware Network Operator Search (ENOS) approach to address the energy-accuracy trade-offs of a deep neural network (DNN) accelerator. In recent years, novel hardware-friendly inference operators such as binary-weight,
Externí odkaz:
https://doaj.org/article/566feb4a1a1346518a4bcd19560df7a5
Akademický článek
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Autor:
Pan, Yi-Lun1,2 (AUTHOR), Chen, Jun-Cheng3 (AUTHOR), Wu, Ja-Ling1,4 (AUTHOR) wjl@cmlab.csie.ntu.edu.tw
Publikováno v:
Entropy. Feb2023, Vol. 25 Issue 2, p272. 26p.
Publikováno v:
Scalable Computing: Practice & Experience; Jul2024, Vol. 25 Issue 4, p2159-2174, 16p
Autor:
SCHÄFER, ALEXANDER1 alexander.schaefer@dfki.de, REIS, GERD2 gerd.reis@dfki.de, STRICKER, DIDIER3 didier.stricker@dfki.de
Publikováno v:
ACM Computing Surveys. Jul2023, Vol. 55 Issue 6, p1-27. 27p.
Publikováno v:
ACM Computing Surveys. Jul2023, Vol. 55 Issue 6, p1-28. 28p.
Publikováno v:
Journal of Computer Science & Technology (10009000); Mar2024, Vol. 39 Issue 2, p401-420, 20p
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Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab667a13595f3af1854d9a0c5d645204
Autor:
Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana, Konstantinos Sechidis, Arif Canakoglu, Sara Pido, Pietro Pinoli, Albert Bifet, Sepideh Pashami
This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Gre