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Modularizing while Training: A New Paradigm for Modularizing DNN Models.

, , , , and . ICSE, page 31:1-31:12. ACM, (2024)

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On the Cost Complexity of Crowdsourcing., , , and . IJCAI, page 1531-1537. ijcai.org, (2018)Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews., , , , , , and . AAAI, page 4220-4221. AAAI Press, (2015)Personalized teammate recommendation for crowdsourced software developers., , , and . ASE, page 808-813. ACM, (2018)Template-based Neural Program Repair., , , , , and . ICSE, page 1456-1468. IEEE, (2023)Reusing Deep Neural Network Models through Model Re-engineering., , , , , and . ICSE, page 983-994. IEEE, (2023)A User-Oriented Approach to Assessing Web Service Trustworthiness., , , , and . ATC, volume 6407 of Lecture Notes in Computer Science, page 195-207. Springer, (2010)CONAN: A framework for detecting and handling collusion in crowdsourcing., , , and . Inf. Sci., (2020)NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation., and . Mach. Learn., 112 (9): 3473-3496 (September 2023)Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition., , , , and . CIKM, page 1059-1068. ACM, (2017)Service4Crowd: A Service Oriented Process Management Platform for Crowdsourcing., , , and . CSCW Companion, page 37-40. ACM, (2018)