darts-pt-v2 | code accompanying the paper : [

darts-pt-v2 is a Python library. darts-pt-v2 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However darts-pt-v2 build file is not available. You can download it from GitHub.

code accompanying the paper: [iclr'2021] [outstanding paper award] rethinking architecture selection in differentiable nas ruochen wang, minhao cheng, xiangning chen, xiaocheng tang, cho-jui hsieh. differentiable neural architecture search is one of the most popular neural architecture search (nas) methods for its search efficiency and simplicity, accomplished by jointly optimizing the model weight and architecture parameters in a weight-sharing supernet via gradient-based algorithms. at the end of the search phase, the operations with the largest architecture parameters will be selected to form the final architecture, with the implicit assumption that the values of architecture parameters reflect the operation strength. while much has been discussed about the supernet's optimization, the architecture selection process has received little attention. we