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Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks.

, , and . CoRR, (2018)

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On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols., , , and . SIGIR, page 755-764. ACM, (2018)Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks., , and . CoRR, (2018)Information Bottleneck and Aggregated Learning., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (12): 14807-14820 (December 2023)A revisit to MacKay algorithm and its application to deep network compression., , , and . Frontiers Comput. Sci., 14 (4): 144304 (2020)Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model., , , and . CoRR, (2023)Opinion helpfulness prediction in the presence of "words of few mouths"., , and . World Wide Web, 15 (2): 117-138 (2012)Dynamic Graph Convolutional Networks for Entity Linking., , , , , and . WWW, page 1149-1159. ACM / IW3C2, (2020)On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm., , , and . UAI, AUAI Press, (2016)Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework., , , , and . EMNLP/IJCNLP (1), page 326-336. Association for Computational Linguistics, (2019)Text Style Transferring via Adversarial Masking and Styled Filling., , , , and . EMNLP, page 7654-7663. Association for Computational Linguistics, (2022)