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CodeTrans: Towards Cracking the Language of Silicone's Code Through Self-Supervised Deep Learning and High Performance Computing.

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CodeTrans: Towards Cracking the Language of Silicone's Code Through Self-Supervised Deep Learning and High Performance Computing., , , , , , , , and . CoRR, (2021)Object-Level Targeted Selection via Deep Template Matching., , , , , and . IV, page 766-771. IEEE, (2022)Exploiting Task-Order Information in Compilers for Shared-Memory Parallel Programs.. ETH Zurich, Zürich, Switzerland, (2011)base-search.net (ftethz:oai:www.research-collection.ethz.ch:20.500.11850/44737).Slot-wise maximum likelihood estimation of the tag population size in FSA protocols., , , and . IEEE Trans. Commun., 58 (2): 578-585 (2010)Model and Architecture of a Timing Service for Adaptive Policy-Based Management Systems., and . INFOCOM, IEEE, (2006)Engaging Students in Distributed Software Engineering Courses., , , and . Managing Development and Application of Digital Technologies, Springer, (2006)A flexible dual frequency testbed for RFID., , , and . TRIDENTCOM, page 3. ICST, (2008)Neuronale Netze : Revolution für die Wissenschaft?. Spektrum der Wissenschaft, 2018 (H. 1): 12--21 (2018)ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing., , , , , , , , , and 2 other author(s). CoRR, (2020)Static Analysis of Dynamic Schedules and Its Application to Optimization of Parallel Programs., and . LCPC, volume 6548 of Lecture Notes in Computer Science, page 16-30. Springer, (2010)