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Discrete Semantic Tokenization for Deep CTR Prediction.

, , , , , and . WWW (Companion Volume), page 919-922. ACM, (2024)

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Kamenev-type oscillation criteria for second-order matrix differential systems., , and . Appl. Math. Lett., 16 (6): 821-826 (2003)Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation., , , , , , , and . CoRR, (2023)Robust adaptive event-triggered fault-tolerant control for time-varying systems against perturbations and faulty actuators., , , , and . Appl. Math. Comput., (2022)Variational Metric Scaling for Metric-Based Meta-Learning., , , and . AAAI, page 3478-3485. AAAI Press, (2020)Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images., , and . MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 210-220. Springer, (2021)Reconstructing Capsule Networks for Zero-shot Intent Classification., , , , , , and . EMNLP/IJCNLP (1), page 4798-4808. Association for Computational Linguistics, (2019)Analyzing the Harmonic Structure in Graph-Based Learning., , and . NIPS, page 3129-3137. (2013)A Closer Look at the Training Strategy for Modern Meta-Learning., , , , , and . NeurIPS, (2020)Generating Anomalies for Video Anomaly Detection with Prompt-based Feature Mapping., , , , and . CVPR, page 24500-24510. IEEE, (2023)Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark., , , , and . CoRR, (2023)