[visionlist] [CfP] Workshop on Lifelong Learning in Affective Computing at ACII 2023
nc528 at cam.ac.uk
Tue Apr 4 05:29:35 -04 2023
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Apologies for cross-posting!
We are happy to announce the upcoming first workshop on Lifelong Learning in Affective Computing (LiLAC), to be held in September at the International Conference on Affective Computing and Intelligent Interaction (ACII) 2023 conference at MIT Media Labs. Links to the relevant resources and a call of papers (short and long, with a deadline at the end of April) are attached in this email.
We are looking forward to your contributions and participation!
Nikhil Churamani, Martin Mundt, Björn Schuller and Hatice Gunes
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-person from 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:
1. start formalising key challenges towards dynamic adaptation in affect perception models;
2. bring forth the merits and demerits of existing CL-based works in the context of affective computing;
3. investigate novel methodologies adopting the CL paradigm for affective computing;
4. formalise the benchmarks and evaluative metrics for CL-based affective computing.
TOPICS OF INTEREST (include but are not limited to):
* Multi-modal, few-shot, transfer, federated, continual, lifelong learning methods in and for affective computing;
* Affective and lifelong learning benchmarks, metrics, evaluation considerations, fairness and ethics;
* Applications for affective lifelong computing: sentiment analysis, face/body gesture analyses, affective speech analysis, digital health;
* Research datasets, software, open-source tools, hardware analysis, system benchmarks in/for affective lifelong computing
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.
* Submission Guidelines: https://acii-conf.net/2023/wp-content/uploads/2023/03/2023-ACII-Submission-Guidelines.pdf
* EasyChair Submission System: https://easychair.org/conferences/submissions?a=30547390
* Submission deadline: 28 April 2023, Anywhere On Earth (AoE)
* Notification of acceptance: 09 June 2023
* Camera-ready deadline: 1 August 2023 (same as ACII main conference)
* Workshop Day: 10 September 2023
* Prof Bing Liu, University of Illinois at Chicago (UIC).
* Dr Ognjen (Oggi) Rudovic, MIT Media Lab & Apple.
* Prof Gemma Roig, Goethe University Frankfurt.
* Dr Pablo Barros, Sony R&D Brussels.
* Dr Jing Han, University of Cambridge.
* Nikhil Churamani, University of Cambridge.
* Martin Mundt, TU-Darmstadt, Hessian AI, ContinualAI.
* Björn Schuller, Imperial College London, University of Augsburg.
* Hatice Gunes, University of Cambridge.
We look forward to your contributions and seeing you at ACII 2023.
Thanks and Regards
University of Cambridge
Department of Computer Science and Technology
William Gates Building
15 JJ Thomson Avenue
Cambridge CB3 0FD
Phone:+44 1223 767024
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