To Seed or Not to Seed? An Empirical Analysis of Usage of Seeds for Testing in Machine Learning Projects
Author:
Affiliation:
1. University of Illinois at Urbana-Champaign,Urbana,USA,IL 61801
Funder
NSF
USDA
NIFA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9787816/9787817/09787895.pdf?arnumber=9787895
Reference73 articles.
1. Detecting numerical bugs in neural network architectures
2. Domain-Specific Fixes for Flaky Tests with Wrong Assumptions on Underdetermined Specifications
3. Free lunch for testing: Fuzzing deep-learning libraries from open source;wei;ICSE,2022
4. Deep learning library testing via effective model generation
5. Audee
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Analysis of YouTube Video Comments with NLP Methods;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27
2. Flaky Tests in the AI Domain;Proceedings of the 1st International Workshop on Flaky Tests;2024-04-14
3. Test flakiness’ causes, detection, impact and responses: A multivocal review;Journal of Systems and Software;2023-12
4. Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests;2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE);2023-05
5. Heterogeneous Ensemble for Classifying Electrical Load Reduction in South Africa;Advances and Trends in Artificial Intelligence. Theory and Applications;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3