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Found 4 papers, 1 papers with code
Productivity Assessment of Neural Code Completion
Neural code synthesis has reached a point where snippet generation is accurate enough to be considered for integration into human software development workflows.
Adaptive Forgetting Curves for Spaced Repetition Language Learning
The forgetting curve has been extensively explored by psychologists, educationalists and cognitive scientists alike.
Approximating Activation Functions
These approximations were suitable for all cases we considered and we believe are appropriate replacements for all networks using these activation functions.
Learning to Fix Build Errors with Graph2Diff Neural Networks
A diff specifies how to modify the code's abstract syntax tree, represented in the neural network as a sequence of tokens and of pointers to code locations.
