Coder Social home page Coder Social logo

mlp's Introduction

=== Machine Learning for Programming ===

July 18-19, Oxford, UK Collocated with FLoC 2018 (http://www.floc2018.org/)

The two-day event will feature invited and contributed talks on improving software reliability and developer productivity by using machine learning, including deep learning. The techniques of interest include leveraging big code repositories (such as github) to build models of code and using them for program analysis, synthesis, and repair techniques that advance the state of the art.

Invited speakers:

The workshop accepts submissions of extended abstracts that will be disseminated on the workshop web site. We welcome applied and theoretical contributions exploring, among others:

  • new learning algorithms, models, and architectures for the domain of programs;
  • machine learning methods for program suggestion, synthesis, debugging, and other programming tasks;
  • probabilistic extensions of conventional program analyses;
  • source code representations for learning;
  • applying natural language processing techniques to code, comments, documentation, and other software artifacts;
  • description and evaluations of new tools;

Well-prepared surveys and vision statements will also be considered.

The accepted extended abstracts will not preclude subsequent publication in conferences or journals.
Submitted papers should be most 5 pages in length (excluding references and appendices) and be prepared using the EPTCS style file available from:

http://style.eptcs.org/

Each accepted extended abstract must be presented by an author at the workshop, 18-19 July 2018.

Submission site:

https://easychair.org/conferences/?conf=mlp2018

Dates:

  • Extended abstract submission deadline: 15 April 2018
  • Acceptance Notification: 15 May 2018
  • Workshop: 18-19 July 2018

Program Committee:

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.