LiLAC 2023: The first Workshop on Lifelong Learning in Affective Computing
Despite state-of-the-art performance on affect recognition benchmarks, deep learning solutions struggle in real-world applications where systems dynamically interact with different users. Assuming a clear separation of training and test settings requires models to have all the data available apriori, making such methods unsuitable or, at the least, inefficient when data distributions shift with each user or task. Lifelong or Continual Learning (CL) aims to address this challenge, enabling systems to adapt with a continuous and sequential stream of data, acquired from non-stationary or changing environments. This makes CL a ‘natural fit’ for real-world affective computing. To this end, we are organising LiLAC 2023: The first Workshop on Lifelong Learning in Affective Computing to be held in conjunction with the International Conference on Affective Computing and Intelligent Interaction (ACII) 2023 (https://acii-conf.net/2023/), In-personfrom September 10–13, 2023 at the MIT Media Lab, Cambridge, MA, USA.
This workshop aims to initiate a systematic and structured discussion towards the successful adoption of the CL paradigm for affective computing, bringing together a multidisciplinary group of researchers to:
TOPICS OF INTEREST (include but are not limited to):
We invite authors to submit their contributions either as regular (6-8 pages) or short papers (2-4 pages), following the ACII 2023 submission guidelines. All papers will be peer-reviewed in a **double-blind** fashion. The accepted workshop papers will appear in the ACII Demo and Workshop Proceedings. Authors will be invited to present their accepted papers in an oral presentation during the workshop.
We will also invite researchers to submit their preliminary or work-in-progress contributions as a 1-page extended abstract for poster presentation. The authors will receive a notification of acceptance after a light review that only examines fit and factual correctness, but they will receive feedback from the audience during the workshop. These 1-page extended abstracts will not appear in the workshop proceedings.
We look forward to your contributions and seeing you at ACII 2023.