Call for Tutorials

The CPAL 2025 Organizing Committee invites proposals for in-person tutorials on advancing our understanding of intelligence through the lens of parsimonious learning and its various facets. We welcome tutorials on a wide range of topics, including

Theories of parsimonious learning
Algorithms and implementations
Applications in various domains
Hardware and systems for efficient learning
Scientific foundations and connections to other fields

Tutorials should be broadly appealing to the CPAL community and are expected to be accessible to PhD students working in the areas of machine learning and intelligence in general. Tutorials should represent a sufficiently mature area of research or practice and should provide a balanced and accessible overview. We encourage proposals with speakers from different institutions to reduce knowledge bias.

Submission Guidelines

Tutorial proposals should be submitted via this form before the indicated deadline. Your proposal should answer the following questions and should be no more than 2 pages:

Title
Abstract: A summary of the tutorial content (up to 250 words).
Outline: A detailed outline of the topics covered, including references and estimated time allocation.
Target audience: A description of the intended audience and their expected background.
Presenters: For each presenter, include their name, affiliation, email address, and a short bio. Please discuss how time is split between the presenters. All presenters are required to attend in person.

Selection Criteria

Tutorials will be selected based on:

Relevance to CPAL’s theme of parsimonious learning
Clarity and comprehensiveness of the proposal
Potential impact on the audience
Speaker experience and diversity

Tutorial Format

Tutorials will be held entirely in-person and will be 120-180 minutes long. Each tutorial must have at least two presenters.

We look forward to receiving your proposals!

The Organizing Committee, CPAL 2025