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Visual Reasoning: From State to Transformation.

, , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (9): 11352-11364 (September 2023)

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Understanding and Improving Neural Ranking Models from a Term Dependence View., , , and . AIRS, volume 12004 of Lecture Notes in Computer Science, page 118-130. Springer, (2019)A Biterm Topic Model for Short Texts, , , and . Proceedings of the 22nd International Conference on World Wide Web, page 1445–1456. New York, NY, USA, Association for Computing Machinery, (2013)Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile., , , , and . CoRR, (2019)Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation., , , , and . IEEE Trans. Knowl. Data Eng., 31 (6): 1181-1193 (2019)Pre-trained models: Past, present and future., , , , , , , , , and 14 other author(s). AI Open, (2021)Pre-Trained Models: Past, Present and Future., , , , , , , , , and 12 other author(s). CoRR, (2021)Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising., , , , , , and . CoRR, (2016)Multi-video Moment Ranking with Multimodal Clue., , , , and . CoRR, (2023)UniMAP: Universal SMILES-Graph Representation Learning., , , and . CoRR, (2023)Contextual Molecule Representation Learning from Chemical Reaction Knowledge., , , , , , and . CoRR, (2024)