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Transforming a graphical user interface screenshot created by a designer into computer code is a typical task conducted by a developer in order to build customized software, websites, and mobile applications.
SOTA for Code Generation on 100 sleep nights of 8 caregivers (using extra training data)
We introduce a new approach to AnyGen that leverages the strict syntax of programming languages to model a code snippet as a tree - structural language modeling (SLM).
This paper proposes an end-to-end deep hashing framework with category mask for fast video retrieval.
We present TRANX, a transition-based neural semantic parser that maps natural language (NL) utterances into formal meaning representations (MRs).
SOTA for Semantic Parsing on ATIS
Semantic parsing is the task of transducing natural language (NL) utterances into formal meaning representations (MRs), commonly represented as tree structures.
Automated documentation of programming source code and automated code generation from natural language are challenging tasks of both practical and scientific interest.
In this paper, we propose a grammar-based structural convolutional neural network (CNN) for code generation.
Results are presented for a case study of targeting the Qualcomm Snapdragon 820 mobile computing platform for CNN deployment.