Sparsity-Aware Personalized Pattern Extractor Network for Music Multi-task Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5575-2_26
Reference15 articles.
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3. Ma, X., et al.: Entire space multi-task model: an effective approach for estimating post-click conversion rate. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp. 1137–1140. SIGIR ’18, Association for Computing Machinery, New York, NY, USA (2018). https://doi.org/10.1145/3209978.3210104
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