49 citations · 105 across the 20 of their papers we have counts for
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cs.PL2018
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…
cs.LG2018★ 12 cited
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…
cs.AI2018★ 3 cited
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) Zero
Fei Wang, Tiark Rompf
Despite the recent successes of deep neural networks in various fields such as image and speech recognition, natural language processing, and reinforcement learning, we still face…