一点点的真理注入,但一个巨大的奖励:标签聚合与图形神经网络
IEEE transactions on pattern analysis and machine intelligence
|December 1, 2023
概括
本研究介绍了LAGNN,这是一种新的图形神经网络模型,有效地模拟众包注释任务中的五种相关性,以提高标签聚合的准确性. 拉格恩显著优于现有方法,提高了众包项目中的数据质量.
科学领域:
- 人工智能的人工智能
- 机器学习 机器学习
- 数据科学数据科学数据科学
背景情况:
- 众包注释任务呈现出复杂的相关性,很难为准确的标签聚合建模.
- 现有的方法往往无法利用多重相关性,限制了标签聚合性能.
- 提高标签聚合精度对于提高众包数据质量至关重要.
研究的目的:
- 提出一个新的图形神经网络模型,LAGNN,以改善众包中的标签聚合.
- 使用深度图形神经网络在众包注释任务中建模五种不同的相关性.
- 通过识别和利用高质量的工人,并纳入基本事实,提高标签聚合的准确性.
主要方法:
- 开发了一种名为LAGNN的新型图形神经网络模型.
- 使用深度图形神经网络与卷积运算来建模五种不同的相关性.
- 利用标签相似性来识别高质量的工人,并修改工人的偏好.
- 在训练阶段加入了少量基础知识,以进一步提高表现.
主要成果:
- 与六种最先进的模型相比,LAGNN显示了显著更高的标签聚合精度.
- 该模型在许多模拟和八个现实世界众包数据集上进行了评估.
- 实验在监督和无监督 (不可知) 模式下进行,始终显示LAGNN的优势.
- 还进行了数据泄露实验,证实了结果的稳定性.
结论:
- 拟议的LAGNN模型有效地捕获和利用众包注释任务中的多重相关性.
- 在标签聚合精度方面,LAGNN提供了显著的进步,优于现有的方法.
- 该模型利用员工质量和基本真相的能力使其成为众包数据改进的强大工具.
相关概念视频
Neural Circuits
1.3K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.3K
Aggregates Classification
327
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
327
Ogive Graph
5.6K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
5.6K
Classification of Neurotransmitters
2.9K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
2.9K
Aggression
27.8K
Humans engage in aggression when they seek to cause harm or pain to another person. Aggression takes two forms depending on one’s motives: hostile or instrumental. Hostile aggression is motivated by feelings of anger with intent to cause pain; a fight in a bar with a stranger is an example of hostile aggression. In contrast, instrumental aggression is motivated by achieving a goal and does not necessarily involve intent to cause pain (Berkowitz, 1993); a contract killer who murders for...
27.8K
Neural Regulation
39.5K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
39.5K


