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artifact for TracNe of ISSRE 24

open access: yes
Deep learning (DL) compilers are crucial for deploying DL models and speeding up their inferences. Meanwhile, they may introduce numerical deviations, and finally undefined or unexpected behaviours, into DL models. Many efforts have been spent on studying DL compilers’ logic bugs, whilst researchers often overlook numerical deviations introduced by DL ...
openaire   +1 more source

ISSRE Industry Track Committees [PDF]

open access: yes2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2019
openaire   +1 more source

ISSRE 2020 Program Committees [PDF]

open access: yes2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE), 2020
openaire   +1 more source

Phenotyping elucidates the association between traits and bioactive components in Notopterygium incisum. [PDF]

open access: yesBMC Plant Biol
Chen P   +11 more
europepmc   +1 more source

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