Preface

• 作者: Min-Ling Zhang Sheng-Jun Huang Ming-Sheng Long
• 来源期刊: 计算机科学技术学报（英文版）
• 年，卷（期）: 2021,（3）
• 所属期刊栏目: Special Section on Learning from Small Samples
• 页码范围: 588-589
• 页数: 2页
• 语种: 英文

摘要

It is our great pleasure to announce the publication of this special section in JCST:"Learning from Small Samples". 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.