NeSy'20 @ IJCLR

NeSy2020 will be collocated with ILP, StarAI and AAIP in Athens, Greece from 9 to 11 September 2020.

The NeSy workshop series celebrates the integration of connectionist and symbolic thinking, technologies, theories, and techniques in Artificial Intelligence systems.

NeSy is the annual gathering of the Neural-Symbolic Learning and Reasoning Association.

Statistical machine learning and connectionist systems have achieved industrial relevance in a number of areas, from retail to health, by their state-of-the-art performance in language modelling, speech recognition, graph analytics, image, video and sensor data analysis. On the other hand, symbolic AI systems are challenged by such unstructured data, but are recognized as being in principle transparent, in that reasoned facts from knowledge bases can be inspected to interpret how decisions follow from input. Connectionist and symbolic methods also contrast in the problems they excel at: scene recognition from images appears to be a problem still outside the capabilities of symbolic systems for example, while neural nets are not yet sufficient for industrial-strength complex planning scenarios and deductive reasoning tasks.

Neural-symbolic computation aims to build rich computational models and systems by combining both connectionist and symbolic learning and reasoning paradigms. This combination hopes to form synergies between their strengths while overcoming their complementary weaknesses.

The NeSy workshop series is a major venue for the presentation and discussion of key topics related to neural-symbolic computing. NeSy has provided an atmosphere for the free exchange of ideas and networking in the community of scientists and practitioners that straddle the line between neural and symbolic methods in AI since 2005.

Call For Journal Track Submissions - ML journal

Deadlines: Feb. 15 2020; April 15 2020

Submission details and link here!

NeSy invites theoretical and applied submissions to the IJCLR journal track spanning both connectionist and symbolic learning paradigms. We further invite papers detailing experimental and in-the-wild systems and papers on topics where neural-symbolic computing 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.

Call For Workshop Track Submissions

Deadline: May 29 2020

Submission details and link (to appear soon) here!

In addition to the journal track, NeSy invites submissions of the latest and ongoing research work for presentation at the workshop. Research papers in any of the above areas of neural-symbolic AI are welcome as well as submissions targeting one of the workshop sessions:

• Deep Learning and the Semantic Web
• NeSy and Continual Learning
• NeSy for Explainable AI
• Industry/application track

All accepted papers will be published by CEUR and presented at the workshop. Revised and extended versions of the best papers will be invited for submission to next year's NeSy journal track. A selection of the accepted papers will be chosen for poster presentation.

Invited Speakers:

Gary Marcus, RobustAI

Pedro Domingos, U. Washington and D.E. Shaw

Luciano Serafini, FBK Trento

Guy Van den Broeck, UCLA

and more TBC.

Registration to open soon at the IJCLR 2020 site.

PROVISIONAL WORKSHOP SCHEDULE

Wednesday September 9 2020

Welcome

IJCLR Keynote 1 - Gary Marcus, RobustAI, CA, USA

Tutorial 1: NeSy and the Semantic Web - Pascal Hitzler, Aaron Eberhart, Monireh Ebrahimi, Kansas State University, Federico Bianchi, Bocconi University, Milan

IJCLR Keynote 2 TBC

Tutorial 2: NeSy meets Continual Learning. Danny Silver, Acadia University, Rahaf Aljundi, KU Leuven, Bing Liu, UIC

Tutorial 3: NeSy for XAI - Artur d'Avila Garcez, Benedikt Wagner, Adam White, City, University of London

Reception

Thursday September 10 2020

IJCLR Keynote 3 - Pedro Domingos, U. Washington and D.E. Shaw, USA

Session on Deep Learning and Semantic Web - Dagmar Groman, University of Vienna, Luis Espinosa Anke, Cardiff University , Thierry Declerck, DFKI

IJCLR Keynote 4 TBC

Session on NeSy and Continual Learning - Natalia Díaz Rodríguez, ENSTA ParisTech, Danny Silver, Acadia University

Joint Poster Session

Conference dinner

Friday September 11 2019

IJCLR Keynote 5 TBC

Session on NeSy for XAI - Freddy Lecue, Thales Montreal, Veronika Thost, MIT-IBM Watson AI Lab

IJCLR Keynote 6 TBC

Industry/application track (Marcio Moreno, IBM Research, Michael Spranger, Sony CSL)

Joint Poster Session

IJCLR Discussion Panel: Future of AI (Moderator: Stephen Muggleton, Imperial College London)

Closing

Presentation

All papers accepted by the workshop or the journal track are expected to be presented during the workshop. The workshop will include specialized tutorials and extra time for audience discussion, allowing the group to obtain a better understanding of the issues, challenges and ideas being presented. Authors of accepted papers may be assigned either an oral or poster presentation slot in the final workshop programme. All accepted workshop track papers will be published by CEUR. Accepted journal track papers will be published by Springer. Registration is open to anybody willing to participate.