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pro vyhledávání: '"Antoniadis, Anastasios"'
This work aims to address the long-established problem of learning diversified representations. To this end, we combine information-theoretic arguments with stochastic competition-based activations, namely Stochastic Local Winner-Takes-All (LWTA) uni
Externí odkaz:
http://arxiv.org/abs/2201.03624
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:7931-7940
This work aims to address the long-established problem of learning diversified representations. To this end, we combine information-theoretic arguments with stochastic competition-based activations, namely Stochastic Local Winner-Takes-All (LWTA) uni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c8df8a125606991f02264bd493a906f
https://doi.org/10.1609/aaai.v36i7.20763
https://doi.org/10.1609/aaai.v36i7.20763
Autor:
Lagouvardos, Sifis, Dolby, Julian, Grech, Neville, Antoniadis, Anastasios, Smaragdakis, Yannis
These instructions are intended for using the artifact for our ECOOP'20 paper entitled "Static Analysis of Shape in TensorFlow Programs". They can be used to run Pythia - the tool implementing the paper’s analysis - on the paper’s evaluation set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::570fef11f1748b386b1d80970ce67477
Enterprise applications are a major success domain of Java, and Java is the default setting for much modern static analysis research. It would stand to reason that high-quality static analysis of Java enterprise applications would be commonplace, but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::6ed4811babee1c0ec7bc2a35123f6742
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3188476
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3188476
Autor:
Lagouvardos, Sifis, Dolby, Julian, Grech, Neville, Antoniadis, Anastasios, Smaragdakis, Yannis
Machine learning has been widely adopted in diverse science and engineering domains, aided by reusable libraries and quick development patterns. The TensorFlow library is probably the best-known representative of this trend and most users employ the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62bbc3b5f7c890d0256f53ca880c71e6