posted by user: zhangml || 593 views || tracked by 3 users: [display]

JCST Special Section 2020 : Call for Papers --- JCST Special Section on 'Learning from Small Samples'

FacebookTwitterLinkedInGoogle

Link: http://jcst.ict.ac.cn/
 
When N/A
Where N/A
Submission Deadline Oct 20, 2020
Notification Due Dec 10, 2020
Final Version Due Feb 25, 2021
 

Call For Papers

====================================================================
Journal of Computer Science and Technology (JCST, IF: 1.506)

Call for Papers --- Special Section on "Learning from Small Samples"
====================================================================


AIMS AND SCOPE
*******************
Machine learning has achieved great success in various tasks. With the rapid growth of model size as in deep networks, the learning models become more and more complex, typically requiring a large scale of training samples with label annotations. However, in real world applications, labeled data is usually limited. And it could be rather expensive to collect more labeled data because the labeling process is time consuming and requires domain expertise.

As a consequence, it becomes a major challenge to learn from a dataset with only a small amount of labeled samples. Currently, main solutions include: 1) utilizing the plentiful unlabeled data from the same data distribution, such as semi-supervised learning and weakly-supervised learning; 2) acquiring more labeled data with an annotation budget, such as active learning; 3) exploiting information from other related tasks, such as unsupervised and supervised pretraining, transfer learning, meta-learning and multi-task learning.

This special section of JCST journal papers will focus on new technologies and solutions related, but not limited to:

- Learning with weak supervision, including semi-supervised learning, active learning, multi-instance learning, etc.

- Learning by exploiting information from other tasks, including transfer learning, domain adaptation, meta-learning, multi-task learning, etc.

- Learning with very few training examples, including zero-shot learning, few-shot learning, etc.

- Application studies of learning from small samples.

Besides original research papers, we also strongly encourage high-quality survey papers, systems papers, and applications papers.


SCHEDULE
*******************
- Manuscript Submission: October 20, 2020
- First Revision/Reject Notification: December 10, 2020
- Final Decision: February 15, 2021
- Camera-Ready: February 25, 2021
- Publication: May 2021


SUBMISSION PROCEDURE
*******************
All submissions must be done electronically through JCST's e-submission system at:

https://mc03.manuscriptcentral.com/jcst

with a manuscript type: "Special Section on Learning from Small Samples".


LEADING EDITOR
*******************
- Min-Ling Zhang (Southeast University, China)


GUEST EDITOR
*******************
- Sheng-Jun Huang (Nanjing University of Aeronautics and Astronautics, China)
- Mingsheng Long (Tsinghua University, China)

Related Resources

Non-Narrative Comics 2021   Call for Papers – CLOSURE: The Kiel University e-Journal for Comics Studies #8 (November 2021) / Thematic Section: »Non-Narrative Comics«
FI-CyberSec 2021   Feature Papers for Future Internet - Cybersecurity Section
IEEE OJ-CS Special Section 2021   Special Section on Smart Energy Management using Machine and Reinforcement Learning
TPDS-SS-AI 2020   IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS) Special Section on Parallel and Distributed Computing Techniques for AI, ML and DL
ECOOP 2021   Call for papers: 35th European Conference on Object-Oriented Programming
DLRS 2021   Call for Papers: Topical Issue on Deep Learning for Recommender Systems
CONF-CDS 2021   The 2nd International Conference on Computing and Data Science (CONF-CDS 2021) Call for Papers
IEEE OJ-CS Special Section 2020   IEEE Computer Society Special Section on Blockchain Intelligence: Technologies and Applications
ICEMGD 2021   The 4th International Conference on Economic Management and Green Development (ICEMGD 2021) Call for Papers
ICEIPI 2021   The 2nd International Conference on Educational Innovation and Philosophical Inquiries (ICEIPI 2021) Call for Papers