https://sites.google.com/view/sscl-workshop-ijcai-2021/
The aim of the workshop is to formalise a new “semi-supervised continual learning” (CSSL) paradigm, and to introduce it to the wider machine learning community.
Topics
The workshop accepts papers on continual learning in its broader sense, covering for instance:
· Analysis of suitability of existing datasets for continual learning.
· New benchmark datasets explicitly designed for continual learning settings.
· Protocols for training and testing in different continual learning settings.
· Metrics for assessing continual learning methods.
· Task-based continual learning.
· Relation between continual learning and model adaptation.
· Learning of new classes as opposed to learning from new instances.
· Real-world applications of continual learning.
· Catastrophic forgetting and mitigation strategies.
· Applications of transfer learning, multi-task and meta-learning to continual learning.
· Continual supervised, semi-supervised and unsupervised learning.
· Lifelong, few-shot learning.
· Continual reinforcement and inverse reinforcement learning.
The list is in no way exhaustive, as the aim is to foster the debate around all aspects of continual learning, especially those which are subject of ongoing frontier research.
Important dates
Paper submission: ***July 2 2021***
Notification: ***July 16 2021***
Camera-ready: July 31 2021
Workshop date: August 20-22 2021 (to be confirmed)
Submission guidelines
Papers submitted to the workshop will follow the standard IJCAI 2021 template (6 pages plus 1 for the references), see
https://www.ijcai.org/authors_kit
Paper submission takes place through EasyChair
https://easychair.org/my/conference?conf=csslijcai2021
The organisers are arranging for the proceedings to be published by Springer in their LNCS/LNAI series: further details will be provided soon.
The Workshop allows for the submission of papers concurrently submitted elsewhere, with the aim of aggregating all relevant efforts in this area.
The authors of accepted papers must guarantee their presence at the workshop. At least one author for each accepted paper must register for the conference. The same holds for Challenge winners.
Invited speakers
Razvan Pascanu (Deepmind)
Tinne Tuytelaars (KUL)
Chelsea Finn (Stanford)
Bing Liu (Illinois)
Fabio Cuzzolin (Oxford Brookes University, Oxford, UK): fabio.cuzzolin@brookes.ac.uk
Irina Rish (University of Montreal and MILA, Canada)
Kevin Cannons (Huawei Technologies Canada, Vancouver, Canada)
Vincenzo Lomonaco (University of Pisa, Italy): vincenzo.lomonaco@unipi.it
Mohamad Asiful Hossain (Huawei Technologies Canada)
Salman Khan (Oxford Brookes University, Oxford, UK)
Ajmal Shahbaz (Oxford Brookes University, Oxford, UK)