10th International Workshop on Approaches and Applications of Inductive Programming, IP2020 @ IJCLR
Call for Papers
- Journal paper submisssions at MLJ's special track Learning & Reasoning. Submission dates:
February 15 2020, April 15 2020April 20 2020 (extended). Follow the link to the general open call above for details and submission instructions.
- Workshop paper submissions. Submission deadline: May 29 2020.
IP2020 @ IJCLR invites theoretical and applied submissions, as well as reports of latest and ongoing research. Topics of interest include, but are not limited to:
- Inductive methods for program synthesis.
- End-user programming.
- Example-driven programming.
- Schema-guided program induction.
- Probabilistic programming.
- IP as surrogate models for deep learning.
- Human-like rule learning.
- Explanation generation from IP-learned rule sets.
- Comparing IP approaches with other rule-learning approaches.
- Combining logic and functional program induction.
- IP applications.
Authors are invited to submit high-quality work at IJCLR’s journal track on Learning & Reasoning, supported by the Machine Learning Journal. Accepted papers will be presented to IJCLR 2020 and published at the Machine Learning Journal special issue on Learning & Reasoning. More details, including formatting and submission guidelines, may be found at the journal track’s CfP.
Reports of ongoing research should not exceed 8 pages (including figures, bibliography and appendices). All submitted papers will be judged based on their relevance, originality, significance, technical quality and organisation. All accepted papers will be published by CEUR and presented at the workshop. A selection of the accepted papers will be chosen for poster presentation.
Submissions will be handled by EasyChair. The submission web page is currently closed and will open no earlier than April 10 2020.
Armando Solar-Lezama, MIT, USA
Donato Malerba, University Bari, Italy
Organizing Committee Chairs
Program Committee Members (Tentative)
Javier Segovia-Aguas, (Universitat Pompeu Fabra, Barcelona, Spain)
François Chollet (Google, Mountain View, CA)
Andrew Cropper (University of Oxford, GB)
Richard Evans (Google DeepMind – London, GB)
Johannes Fürnkranz (TU Darmstadt, DE)
José Hernández-Orallo (Technical University of Valencia, ES)
Susumu Katayama(University of Miyazaki, Japan)
Tomáš Kliegr (University of Economics – Prague, CZ)
Alex Polozov(Microsoft Corporation – Redmond, US)
Luc De Raedt (KU Leuven, BE)
Stephen H. Muggleton (Imperial College London, GB)
Rishabh Singh (Microsoft Research – Redmond, US)
Armando Solar-Lezama (MIT – Cambridge, US)
Ruzica Piskac (Yale University – New Haven, US)
Harald Ruess (fortiss GmbH – München, DE)
AAIP 2019 Dagstuhl Seminar 19202, Germany
AAIP 2017 Dagstuhl Seminar 17382, Germany
AAIP 2015 Dagstuhl Seminar 15442, Germany
AAIP 2013 Dagstuhl Seminar 13502, Germany
AAIP 2011 co-located with PPDP 2011 and LOPSTR 2011, Odense, Denmark
AAIP 2009 at ICFP 2009 in Edinburgh, Scotland
AAIP 2007 at ECML 2007 in Warsaw, Poland
AAIP 2005 at ICML 2005 in Bonn, Germany