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An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance.

, , , и . ICTIR, стр. 75-78. ACM, (2019)

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ReNeuIR: Reaching Efficiency in Neural Information Retrieval., , и . SIGIR, стр. 3462-3465. ACM, (2022)An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance., , , и . ICTIR, стр. 75-78. ACM, (2019)A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search., , , и . SIGIR, стр. 2261-2265. ACM, (2024)Preface WI-IAT 2023., , , , и . WI/IAT, стр. xviii-xxi. IEEE, (2023)An Analysis of Fusion Functions for Hybrid Retrieval., , и . ACM Trans. Inf. Syst., 42 (1): 20:1-20:35 (января 2024)An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors., , , и . CoRR, (2023)ReNeuIR at SIGIR 2023: The Second Workshop on Reaching Efficiency in Neural Information Retrieval., , , и . SIGIR, стр. 3456-3459. ACM, (2023)Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks., , , и . SIGIR, стр. 1241-1244. ACM, (2019)Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks., , , , , и . ICTIR, стр. 85-92. ACM, (2019)Pairing Clustered Inverted Indexes with kNN Graphs for Fast Approximate Retrieval over Learned Sparse Representations., , , и . CoRR, (2024)