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Code Generation

12 papers with code · Computer Code

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Deep Hashing with Category Mask for Fast Video Retrieval

22 Dec 2017willard-yuan/hashing-baseline-for-image-retrieval

This paper proposes an end-to-end deep hashing framework with category mask for fast video retrieval.

CODE GENERATION

Latent Predictor Networks for Code Generation

ACL 2016 deepmind/card2code

Many language generation tasks require the production of text conditioned on both structured and unstructured inputs.

CARD GAMES CODE GENERATION TEXT GENERATION

TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

EMNLP 2018 pcyin/tranX

We present TRANX, a transition-based neural semantic parser that maps natural language (NL) utterances into formal meaning representations (MRs).

CODE GENERATION SEMANTIC PARSING

StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing

ACL 2018 pcyin/tranX

Semantic parsing is the task of transducing natural language (NL) utterances into formal meaning representations (MRs), commonly represented as tree structures.

CODE GENERATION SEMANTIC PARSING

A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

IJCNLP 2017 EdinburghNLP/code-docstring-corpus

Automated documentation of programming source code and automated code generation from natural language are challenging tasks of both practical and scientific interest.

CODE GENERATION DATA AUGMENTATION MACHINE TRANSLATION

Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms

1 Jun 2016moskewcz/boda

Results are presented for a case study of targeting the Qualcomm Snapdragon 820 mobile computing platform for CNN deployment.

CODE GENERATION

A Grammar-Based Structural CNN Decoder for Code Generation

14 Nov 2018zysszy/GrammarCNN

In this paper, we propose a grammar-based structural convolutional neural network (CNN) for code generation.

CODE GENERATION SEMANTIC PARSING

CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling

3 Mar 2019yaxirhuxxain/Source-Code-Suggestion

In this work, we present CodeGRU, a Gated Recurrent Unit based source code language model that is capable of capturing contextual, syntaxtual and structural dependencies for modeling the source code.

CODE GENERATION LANGUAGE MODELLING

A Syntactic Neural Model for General-Purpose Code Generation

ACL 2017 zimengq/PyTorch-ReCode

We consider the problem of parsing natural language descriptions into source code written in a general-purpose programming language like Python.

CODE GENERATION SEMANTIC PARSING TEXT GENERATION