Call for Tutorials

Proposal Submissions

The 31th International Conference on Neural Information Processing (ICONIP 2024) invites proposals for tutorials on core topics or emerging and growing topics of neural networks, such as deep learning and brain-inspired research. Tutorials should be of interest to a substantial portion of the neural network community and represent a sufficiently mature area of research or practice. The tutorial speakers should be scientists or professionals with significant expertise.

Proposal Guidelines

Each accepted tutorial will be approximately two hours long. Each proposal should be structured to provide the following information:

1. Tutorial title
2. Abstract (max. 300 words)
3. Description and Outline:
   Please provide an outline of what you plan to cover, including references and details on how much time you will spend on each topic. Note that tutorials should provide a balanced overview of a research area and should not focus more on their organization's results, tools, or products.
4. Target Audience:
   Who is the target audience? What background do you expect attendees to have?
5. Previous tutorials:
   Has the tutorial (or a similar/highly related tutorial) been presented at another venue? Please list the dates and venues, and describe the similarities and differences between the previous tutorials and the proposed tutorial.
6. Links to video recordings of the presenters' previous talks if you have.
7. Names, main contact and short bios (150 words) of each organiser