The workshop invites contribution to novel methods, innovations, applications, and broader implications of self-supervised learning (SSL) for processing human-related data, including (but not limited to):
- activity recognition
- pose estimation
- speech processing
- affective computing
- biomedical signal analysis/modeling (EEG, ECG, PPG, EMG, fMRI, IMU, medical/clinical data, etc.)
In addition to the above, papers that consider the following are also invited:
- responsible development of human-centric SSL (e.g., safety, limitations, societal impacts, and unintended consequences)
- ethical and legal implications of using SSL on human-centric data
- implications of SSL on robustness and fairness
- implications of SSL on privacy and security
- interpretability and explainability of human-centric SSL frameworks
Manuscripts that fit only certain aspects of the workshop are also invited. For example:
- if your work broadly addresses the use of unlabeled human-centric data with unsupervised or semi-supervised learning
- if your work focuses on architectures and frameworks for SSL for sensory data beyond CV and NLP (but not necessarily human-centric data)
Important Dates
Paper submission deadline: Friday, November 12, 2021 Saturday, November 20, 2021
Decision notification: Friday, December 3, 2021 Wednesday, December 8, 2021
Camera-ready submission: Friday December 10, 2021 Saturday, December 25, 2021
Early registration deadline: Friday, December 17, 2021 Friday, December 31, 2021
Workshop date: Tuesday, March 1, 2022
Paper formatting and submission instructions
- The AAAI latex template https://aaai.org/Conferences/AAAI-22/aaai22call/ should be used for all submissions.
- Two types of submission will be considered: full papers (6-8 pages + references), and short papers (2-4 pages + references).
- The review process will be double-blind, so authors must remove their names/affiliations from the initial submissions.
- A select number of full papers will be presented in oral format, while other accepted papers will be presented as posters.
- Submission portal: https://cmt3.research.microsoft.com/AAAI2022HCSSL/