- From: Ernesto Jimenez-Ruiz <ernesto.jimenez.ruiz@gmail.com>
- Date: Tue, 18 May 2021 10:28:08 +0100
- To: semantic-web@w3.org
- Message-ID: <CA+VyRy96MqkDOpL7UDLLeFrm3UJ-nF3Jb_q39znJHp6T7JX1aw@mail.gmail.com>
15th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy’2021) ---------------------------------------------------------------------------------------------------------- ***Submission Deadline: June 30, 2021 (Anywhere on Earth)*** Workshop webpage: https://sites.google.com/view/nesy20/ NeSy 2021 will be collocated with 1st International Joint Conference on Learning & Reasoning (IJCLR) and will be an online event. NeSy is the annual workshop of the Neural-Symbolic Learning and Reasoning Association: http://www.neural-symbolic.org/. The goal of Neural-Symbolic Integration is to combine neural networks' robust learning mechanisms with symbolic knowledge representation, reasoning, and explanation capability in ways that retain the strengths of each paradigm. NeSy invites theoretical and applied submissions that span both connectionist and symbolic learning paradigms. We further invite papers detailing experimental and in-the-wild neural-symbolic systems and papers on topics where neural-symbolic learning has a strong use case. Topics of interest include, but are not limited to: - Knowledge representation and reasoning in deep neural networks - Symbolic knowledge extraction from neural and statistical learning models - Explainable AI models, systems, and techniques that integrate connectionist and symbolic paradigms - Neural-symbolic cognitive models - Biologically-inspired neural-symbolic integration - Continual learning, integration of logic and probabilities with neural networks - Neural-symbolic methods for structured learning tasks, including transfer, meta, and relational learning - Novel connectionist systems able to perform traditionally symbolic AI tasks (e.g. logical deduction) - Novel symbolic systems able to perform traditionally connectionist tasks (e.g. unstructured data analysis) - Applications in simulation, finance, robotics, the semantic web, software engineering, systems engineering, bioinformatics, and visual intelligence. The workshop will include the following sessions: - Semantic Web and Deep Learning - NeSy and Continual Learning - NeSy for Explainable AI - Industry/application track Submission: Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere. Submitted papers must be written in English, should be formatted using a single column and 11pt font, and should not exceed 8 pages in the case of research and experience papers, or 4 pages in the case of position papers (including figures, bibliography and any appendices). You are encouraged to use the CEUR Latex template or the CEUR Word template. All submitted papers will be judged based on their relevance, originality, significance, technical quality and organisation. Papers must be submitted through EasyChair at https://easychair.org/conferences/?conf=ijclr2021 (select NeSy as Track). Publication: All accepted papers will be published by CEUR and must be presented online at the workshop. Revised and extended versions of the best papers will be invited for submission to the NeSy journal track. A selection of the accepted papers will be chosen for poster presentation. Important Dates: - Deadline for paper submission: 30 June 2021 - Notification of paper acceptance: August 2021 - Camera-ready paper due: September 2021 - NeSy Workshop dates: 25-27 October 2021 NeSy’2021 Workshop organizers: - Artur d'Avila Garcez, City, University of London, UK - Natalia Diaz Rodriguez, ENSTA ParisTech, FR - Ernesto Jimenez-Ruiz, City, University of London, UK - Dagmar Gromann, University of Vienna, AT - Freddy Lecue, INRIA and Thales, Montreal, CA - Derek Doran, Wright State University, OH, USA NeSy’2021 Special Session organisers: - Deep Learning and Semantic Web - Dagmar Gromann, University of Vienna, Austria. - Continual Learning - Natalia Díaz Rodríguez, ENSTA ParisTech, Danny Silver, Acadia University, Canada. - NeSy for XAI - Freddy Lecue, Thales Montreal, Veronika Thost, MIT-IBM Watson AI Lab. - NeSy applications and industry track - Michael Spranger, Sony CSL, Alex Jaimes, Dataminr, Dan Philps, Rothko Investment. NeSy’2021 Tutorial organisers: - NeSy and the Semantic Web - Pascal Hitzler, Kansas State University, USA. - NeSy meets Continual Learning - Danny Silver, Acadia University, Canada. - NeSy for XAI - Artur d'Avila Garcez, Benedikt Wagner and Adam White, City, University of London. - Please join the NeSy association and mailing list by following this link: https://www.city-data-science-institute.com/nesy -- Ernesto Jiménez-Ruiz Lecturer in Artificial Intelligence Department of Computer Science School of Mathematics, Computer Science and Engineering City, University of London T: +44 (0)20 7040 0212 https://www.city.ac.uk/people/academics/ernesto-jimenez-ruiz
Received on Tuesday, 18 May 2021 09:28:35 UTC