MLP 2018: Workshop on Machine Learning for Programming FLOC 2018 Oxford, UK, July 18-19, 2018 |
Conference website | http://ml4p.org/ |
Submission link | https://easychair.org/conferences/?conf=mlp2018 |
Conference program | https://easychair.org/smart-program/FLoC2018/ |
Submission deadline | April 15, 2018 |
Paper revisions accepted until | April 30, 2018 |
Workshop affiliated to CAV 2018, as part of FLoC 2018.
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.
Submission Guidelines
Submitted papers should be most 5 pages in length (excluding references and appendices) and be prepared using the EPTCS style file. We will consider original research contributions as well well-prepared surveys and vision statements.
Each accepted extended abstract must be presented by an author at the workshop, 18-19 July 2018.
List of Topics
- 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.
Committees
Program Committee
- Marc Brockshmidt, Microsoft Research
- Aditya Kanade, IISc Bangalore
- Viktor Kuncak (co-chair), EPFL
- Bruno Marnette (co-chair), Prodo.AI
- Sebastian Riedel, University College London
- Charles Sutton (co-chair), University of Edinburgh
- Luke Zettlemoyer, University of Washington
Organizing committee
- Viktor Kuncak (co-chair), EPFL
- Bruno Marnette (co-chair), Prodo.AI
- Charles Sutton (co-chair), University of Edinburgh
Invited Speakers
- Miltos Allamanis, Microsoft Research
- Earl Barr, University College London
- Swarat Chaudhuri, Rice
- Prem Devambu, UC Davis
- Sergio Giro, Prodo.AI
- Michael Pradel, TU Darmstadt
- Rishabh Singh, Google Brain
- Dawn Song, UC Berkeley
- Danny Tarlow, Google Brain
- Eran Yahav, Technion
- Martin Vechev, ETH Zurich
- Jules Villard, Facebook
Publication
The workshop accepts submissions of extended abstracts that will be disseminated on the workshop web site.
The accepted extended abstracts will not preclude subsequent publication in conferences or journals.
Venue
The event will be held as a post-FLoC workshop in Oxford on 18 and 19 July 2018.
Contact
- Viktor Kuncak (co-chair), EPFL
- Bruno Marnette (co-chair), Prodo.AI
- Charles Sutton (co-chair), University of Edinburgh
Sponsors
Prodo.AI, https://prodo.ai/
Microsoft Research, https://www.microsoft.com/