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pro vyhledávání: '"Tian, Samuel"'
Self-Supervised Learning (SSL) has become a prominent approach for acquiring visual representations across various tasks, yet its application in fine-grained visual recognition (FGVR) is challenged by the intricate task of distinguishing subtle diffe
Externí odkaz:
http://arxiv.org/abs/2407.14676
Autor:
Kuepper, Joel, Erbsen, Andres, Gross, Jason, Conoly, Owen, Sun, Chuyue, Tian, Samuel, Wu, David, Chlipala, Adam, Chuengsatiansup, Chitchanok, Genkin, Daniel, Wagner, Markus, Yarom, Yuval
Manual engineering of high-performance implementations typically consumes many resources and requires in-depth knowledge of the hardware. Compilers try to address these problems; however, they are limited by design in what they can do. To address thi
Externí odkaz:
http://arxiv.org/abs/2305.19586
Autor:
Kuepper, Joel, Erbsen, Andres, Gross, Jason, Conoly, Owen, Sun, Chuyue, Tian, Samuel, Wu, David, Chlipala, Adam, Chuengsatiansup, Chitchanok, Genkin, Daniel, Wagner, Markus, Yarom, Yuval
Most software domains rely on compilers to translate high-level code to multiple different machine languages, with performance not too much worse than what developers would have the patience to write directly in assembly language. However, cryptograp
Externí odkaz:
http://arxiv.org/abs/2211.10665