论文标题
对系统概括的简短调查
A Short Survey of Systematic Generalization
论文作者
论文摘要
该调查包括系统的概括以及机器学习方式的历史。我们的目标是总结和组织常规和最近改进的相关信息。我们首先研究系统概括的定义，然后介绍古典主义者和连接主义者。然后，我们讨论不同类型的连接师及其如何处理概括。讨论了可变结合和因果关系的两个关键问题。我们研究语言，视觉和VQA领域的系统概括。讨论了不同方面的最新改进。系统的概括在人工智能方面具有悠久的历史。我们只能涵盖许多贡献的一小部分。我们希望本文提供背景，对未来工作的发现有益。
This survey includes systematic generalization and a history of how machine learning addresses it. We aim to summarize and organize the related information of both conventional and recent improvements. We first look at the definition of systematic generalization, then introduce Classicist and Connectionist. We then discuss different types of Connectionists and how they approach the generalization. Two crucial problems of variable binding and causality are discussed. We look into systematic generalization in language, vision, and VQA fields. Recent improvements from different aspects are discussed. Systematic generalization has a long history in artificial intelligence. We could cover only a small portion of many contributions. We hope this paper provides a background and is beneficial for discoveries in future work.
