Dear colleagues, the deadline for submitting papers to the IJCAI 2021 Continual Semi-Supervised Learning workshop (CSSL @ IJCAI) has been extended to ***Friday 2 July***:
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. To this extent we present the first two benchmark datasets for this problem and use them to propose the first Continual Semi-Supervised Learning Challenges to the research 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) Organisers Fabio Cuzzolin (Oxford Brookes University, Oxford, UK): fabio.cuzzo...@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.lomon...@unipi.it Mohamad Asiful Hossain (Huawei Technologies Canada) Salman Khan (Oxford Brookes University, Oxford, UK) Ajmal Shahbaz (Oxford Brookes University, Oxford, UK)
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