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JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs.

, , , , , and . CoRR, (2018)

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Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs., , , , , , and . CoRR, (2022)Parallax: Automatic Data-Parallel Training of Deep Neural Networks., , , , , , , , and . CoRR, (2018)Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach., , , , , and . CoRR, (2019)WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Modele., , , , , , , and . Proc. VLDB Endow., 15 (1): 11-20 (2021)JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs., , , , , and . CoRR, (2018)Automating System Configuration of Distributed Machine Learning., , , , , , , , , and 2 other author(s). ICDCS, page 2057-2067. IEEE, (2019)Stage-based Hyper-parameter Optimization for Deep Learning., , , , , , and . CoRR, (2019)Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks., , , , , , , , and . EuroSys, page 43:1-43:15. ACM, (2019)Improving the expressiveness of deep learning frameworks with recursion., , , , and . EuroSys, page 19:1-19:13. ACM, (2018)JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs., , , , , and . NSDI, page 453-468. USENIX Association, (2019)