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1st International Joint Conference on Learning & Reasoning

25 - 27 October 2021
ILP 2020-21

ILP 2020-21

30th International Conference on Inductive Logic Programming

NeSy 2020-21

NeSy 2020-21

15th International Workshop on Neural-Symbolic Learning and Reasoning

StarAI 2020-21

StarAI 2020-21

10th International Workshop on Statistical Relational AI

AAIP 2020-21

AAIP 2020-21

10th International Workshop on Approaches and Applications of Inductive Programming

IJCLR 2022 will take place from 28 to 30 of September 2022 at Cumberland Lodge, UK.

Latest News
  • November 3: The video recordings from IJCLR are now availabe on YouTube!
  • October 27: Best paper awards for the ILP conference announced! Congratulations to all the authors!
  • October 23: The Zoom links for each session of the conference are available through the program page.
  • September 25: The program has been uploaded.
  • September 15: The registration is open.
  • August 10: We are delighted to announce the IJCLR 2021 keynote speakers.
  • July 30: Submissions for late-breaking abstracts (for ILP/AAIP) and recently published papers are invited. See the CfP page for details.Deadline: September 10 2021.
  • June 29: The submission deadline for the conference track is extended to July 7 2021.
  • May 3: The paper submission page is open.
  • April 20: The last cut-off date for the journal track has been extended to June 1, 2021.


The 1st International Joint Conference on Learning & Reasoning (IJCLR) will take place online, from 25 to 27 of October 2021. It is organized by the Complex Event Recognition group of the institute of informatics at the National Center for Scientific Research (NCSR) "Demokritos", in Athens, Greece.

The rapid progress in machine learning has been the primary reason for a fresh look in the transormative potential of AI as a whole during the past decade. A crucial milestone for taking full advantage of this potential is the endowment of algorithms that learn from experience with the ability to consult existing knowledge and reason with what has already been learned. Integrating learning and reasoning constitutes one of the key open questions in AI, and holds the potential of addressing many of the shortcomings of contemporary AI approaches, including the black-box nature and the brittleness of deep learning, and the difficulty to adapt knowledge representation models in the light of new data. Integrating learning and reasoning calls for approaches that combine knowledge representation and machine reasoning techniques with learning algorithms from the fields of neural, statistical and relational learning.

Four international conferences and workshops addressing such research topics join forces in the 1st International Conference on Learning & Reasoning (IJCLR):

  • The 30th International Conference on Inductive Logic Programming (ILP).
    The ILP conference series has been the premier forum for work on logic-based approaches to learning for three decades. Originally focusing on the induction of logic programs, over the years it has expanded its research horizon to other forms of relational learning and to probabilistic approaches.
  • The 15th International Workshop on Neural-Symbolic Learning & Reasoning (NeSy).
    The NeSy workshop series is a major venue for the presentation and discussion of key topics related to neural-symbolic computing, i.e. combinations of neural and logic-based approaches to learning & reasoning.
  • The 10th International Workshop on Statistical Relational Artificial Inteligence (StarAI).
    The StarAI workshop series studies combinations of logic with probability theory and focuses on statistical inference and learning with relational and first-order logical representations.
  • The 10th International Workshop on Approaches and Applications of Inductive Programming (AAIP).
    The AAIP workshop series focuses on learning executable programs in arbitrary programming languages, from incomplete specifications. e.g. from examples of their input/output behaviour.

IJCLR aims at bringing together researchers and practitioners working on various aspects of learning & reasoning, via presentation of cutting-edge research on topics of special interest to the participating conferences/workshops. In addition to each of the four events' individual programs, which will be held in parallel, IJCLR aims to promote collaboration and cross-fertilization between different approaches and methodologies to integrating learning & reasoning, via joint keynotes, panel discussions and poster sessions.

Call for Papers

Journal Track: IJCLR’s journal track, the special issue on Learning and Reasoning supported by the Machine Learning Journal (MLJ), is accepting paper submissions on regular cut-off dates since February 2020. Submissions are solicited on all aspects of Learning and Reasoning and topics where machine learning is combined with machine reasoning or knowledge representation. Papers are published online by MLJ upon acceptance and authors of accepted papers are invited to present their work at the conference. Upcoming cut-off date: June 1 2021.

Conference Track: Each conference/workshop participating in IJCLR will be soliciting paper submissions on the topics of its interest. Accepted papers will be presented at IJCLR. Additionally, IJCLR features a “General Track” where authors are invited to submit work that is relevant to the conference but it does not necessarily fall within the scope of a particular workshop (ILP, NeSy, StarAI, AAIP). Submission deadline: June 30 2021.

Recently published papers Track: IJCLR solicits submissions of high-quality papers on combining learning and reasoning that have been recently published, or accepted for publication, by a first-class conference such as ECML/PKDD, ICML, KDD, ICDM, AAAI, IJCAI, etc., or journal such as MLJ, DMKD, JMLR etc. Papers will be accepted on the grounds of relevance and quality of the original publication venue. Accepted papers will be presented at IJCLR. Submission deadline: September 10 2021.

Please follow the Call for Papers link for more information and guidelines on paper submissions to the IJCLR tracks.