3rd KDD Workshop on Knowledge-infused Learning

Dear Colleagues and Students,

We are organizing the 3rd International Workshop on Knowledge-infused Learning in conjunction with KDD 2023.

Link: https://aiisc.ai/kiml2023

This year we are having a special theme session on NeuroSymbolic AI. We invite contributions along novel methods, datasets, and evaluation metrics.

Important Dates:

• Paper submission deadline: May 23, 2023 (possible extension because of delayed decision from KDD)

• Author notification: June 23, 2023

• Camera-ready: June 27, 2023

• Workshop Date: August 6-10, 2023

Easychair

Submission Link

Call for Papers

Topics of interest, for the technical, poster, and demo sessions, include, but are not limited to:

Topics of interest include but are not limited to, the following:

* Methods:

    * NeuroSymbolic AI

    * Knowledge-injected foundational language models 

    * Injecting Knowledge-constraints in Deep Neural Networks

    * Automated Rule Learning and Inference

    * Knowledge-guided Active Learning

    * Knowledge-injected Reinforcement Learning

    * Multimodal Knowledge-injected Learning

* Responsible AI:

    * User-Explainable Machine Learning and Deep Learning

    * User-Safety in Conversational Systems

* Evaluation:

    * Metric to assess Safe AI

    * Metric to assess User-Explainable AI

    * Metric to assess Knowledge-infusion in AI

* Application domains (not limited to):

    * Healthcare

    * Legal

    * Cybersecurity

    * Autonomous Systems

Submissions:

* Full Papers (9 Pages)

* Short Papers (6 Pages)

* Position Papers (4-6 Pages)

* Demo Paper (4 Pages)

* Industry Paper (4-9 Pages)

All the limits include references. The workshop submission template follows ACM Sigconf and accepted paper will be published as a part of CEUR Workshop Proceedings.

Committee

Steering Committee:

• Amit Sheth, AI Institute, University of South Carolina, USA

• Srinivasan Parathasarathy, Ohio State University, USA

• Biplav Srivastava, AI Institute, University of South Carolina, USA

Organizing Committee:

• Manas Gaur, University of Maryland Baltimore County, USA (prime contact; manas@umbc.edu)

• Efthymia Tsamoura, Samsung AI and Alan Turing Institute, UK

• Sarath Sreedharan, Colorado State University, USA

• Sudip Mittal, Mississippi State University, USA

• Kaushik Roy, AI Institute, University of South Carolina, USA

PS: Please forward this weblink to your colleagues and students.