12 citations · 22 across the 2 of their papers we have counts for
3 papers
AutoGraph: Imperative-style Coding with Graph-based Performance
Dan Moldovan, James M Decker, Fei Wang +6
There is a perceived trade-off between machine learning code that is easy to write, and machine learning code that is scalable or fast to execute. In machine learning, imperative s…
Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator
Fei Wang, Daniel Zheng, James Decker +3
Deep learning has seen tremendous success over the past decade in computer vision, machine translation, and gameplay. This success rests in crucial ways on gradient-descent optimiz…
Flare: Native Compilation for Heterogeneous Workloads in Apache Spark
Grégory M. Essertel, Ruby Y. Tahboub, James M. Decker +3
The need for modern data analytics to combine relational, procedural, and map-reduce-style functional processing is widely recognized. State-of-the-art systems like Spark have adde…