不同阶段的data selection目标不同,在预训练时,数据选择的共同目标是通过一系列过滤器删除大量数据。而微调时,选择额外的auxiliary样本,这些样本对目标任务的additional learning signals最有益。在我们的工作中,统一了广泛的数据选择方法,允许我们在2.2节的viewpoint中对比和比较各种方法,并专注于模型预训练。定义了utilit...
文章名称:A Survey on Data Selection for Language Models 文章链接:arxiv.org/pdf/2402.1682 概述 这篇文章主要关注的是数据选择在训练大型语言模型中的重要性。 首先,文章强调了无监督预训练在大型语言模型的成功中起到的关键作用,这种预训练依赖于巨大且不断增长的文本数据集。然而,文章也指出,对所有可用数据进行...
The various algorithms are used for search engine selection and result merging that provide relevant information according to the user. In this paper, we focus on the technical challenges of meta searching, namely search engine selection, by providing different algorithms.Kawaljeet Kaur...
lack of generalization. This survey starts by listing the learning techniques. Next, the types of DL architectures are introduced. After that, state-of-the-art solutions to address the issue of lack of training data are listed, such as Transfer Learning (TL), Self-Supervised Learning (SSL), ...
Bellogín A, Castells P, Cantador I (2014) Neighbor selection and weighting in user-based collaborative filtering: a performance prediction approach. ACM Trans Web 8(2):12 Google Scholar Berkovsky S, Kuflik T, Ricci F (2012) The impact of data obfuscation on the accuracy of collaborative ...
data hungriness of ML algorithms is unfortunately a topic that has not yet received sufficient attention in the academic research community, nonetheless, it is of big importance and impact. Accordingly, the main aim of this survey is to stimulate research on this topic by providing interested ...
data. Unfortunately, many application domains do not have access to big data, such as medical image analysis. This survey focuses on Data Augmentation, a data-space solution to the problem of limited data. Data Augmentation encompasses a suite of techniques that enhance the size and quality of ...
data transmission formats in section2. In detail, firstly we select 26 typical urban sensor application systems and IoT platforms and make a survey of their application fields; then we deeply study the communication protocols and data transmission formats of these systems and platforms through a ...
标题:A survey on causal inference 链接:dl.acm.org/doi/abs/10.1 一、简介 在日常语言中,相关性 和因果关系 通常被交叉使用,尽管它们有着相当不同的解释。相关性表示一种一般性关系:当两个变量呈现增加或减少的趋势时,它们就存在相关性(Altman 和 Krzywinski,2015)。因果关系也被称为因果关系,其中原因在一定...
The technical advancements and the availability of massive amounts of data on the Internet draw huge attention from researchers in the areas of decision-making, data sciences, business applications, and government. These massive quantities of data, known