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MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction.

, , , , , , and . KDD, page 1384-1395. ACM, (2023)

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Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction., , , , , , , , , and 7 other author(s). KDD, page 2663-2673. ACM, (2021)MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction., , , , , , and . KDD, page 1384-1395. ACM, (2023)MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space., , , , , , , and . CoRR, (2024)Event Time Extraction and Propagation via Graph Attention Networks., , , , , , , and . NAACL-HLT, page 62-73. Association for Computational Linguistics, (2021)A Prediction Based Capacity Planning Strategy for Virtual Servers., , and . DSDIS, page 46-52. IEEE Computer Society, (2015)ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction., , , , , , , , , and . WWW, page 3319-3330. ACM, (2024)Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning., , , , and . EMNLP (1), page 1737-1751. Association for Computational Linguistics, (2020)ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction., , , , , , , , , and . CoRR, (2023)CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding., , , , , and . ICLR, OpenReview.net, (2021)GIKT: A Graph-Based Interaction Model for Knowledge Tracing., , , , , , , and . ECML/PKDD (1), volume 12457 of Lecture Notes in Computer Science, page 299-315. Springer, (2020)