About

Code Generation is an important field to predict explicit code or program structure from multimodal data sources such as incomplete code, programs in another programming language, natural language descriptions or execution examples. Code Generation tools can assist the development of automatic programming tools to improve programming productivity.

Source: Deep Learning for Source Code Modeling and Generation

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Subtasks

Datasets

Latest papers without code

Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python

7 Apr 2021

We contribute a process for SQL-code generation in Python using template macros in Jinja2 as well as the prototype implementation of the process.

CODE GENERATION

Embedding Code Contexts for Cryptographic API Suggestion:New Methodologies and Comparisons

15 Mar 2021

Despite recent research efforts, the vision of automatic code generation through API recommendation has not been realized.

CODE GENERATION

Data Analytics and Machine Learning Methods, Techniques and Tool for Model-Driven Engineering of Smart IoT Services

12 Feb 2021

Moreover, we support the APIs of several ML libraries and frameworks for the automated generation of the source code of the target software in Python and Java.

AUTOML CODE GENERATION

Brain Modelling as a Service: The Virtual Brain on EBRAINS

11 Feb 2021

The Virtual Brain (TVB) is now available as open-source cloud ecosystem on EBRAINS, a shared digital research platform for brain science.

BAYESIAN INFERENCE CODE GENERATION COMPUTATIONAL ENGINEERING, FINANCE, AND SCIENCE CRYPTOGRAPHY AND SECURITY DISTRIBUTED, PARALLEL, AND CLUSTER COMPUTING NEURONS AND COGNITION QUANTITATIVE METHODS

Hierarchical a posteriori error estimation of Bank-Weiser type in the FEniCS Project

8 Feb 2021

The focus of this contribution is to describe a novel implementation of hierarchical estimators of the Bank-Weiser type in a modern high-level finite element software with automatic code generation capabilities.

CODE GENERATION NUMERICAL ANALYSIS COMPUTATIONAL ENGINEERING, FINANCE, AND SCIENCE NUMERICAL ANALYSIS

Compact Native Code Generation for Dynamic Languages on Micro-core Architectures

3 Feb 2021

Micro-core architectures combine many simple, low memory, low power-consuming CPU cores onto a single chip.

CODE GENERATION PROGRAMMING LANGUAGES DISTRIBUTED, PARALLEL, AND CLUSTER COMPUTING

In-IDE Code Generation from Natural Language: Promise and Challenges

27 Jan 2021

A great part of software development involves conceptualizing or communicating the underlying procedures and logic that needs to be expressed in programs.

CODE GENERATION DATA VISUALIZATION SOFTWARE ENGINEERING

NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration

1 Dec 2020

With the increasing demand to efficiently deploy DNNs on mobile edge devices, it becomes much more important to reduce unnecessary computation and increase the execution speed.

CODE GENERATION MODEL COMPRESSION NETWORK PRUNING

FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads

23 Sep 2020

We show in this work that memory intensive computations can result in severe performance problems due to off-chip memory access and CPU-GPU context switch overheads in a wide range of deep learning models.

CODE GENERATION