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On Hyper-Parameter Estimation In Empirical Bayes: A Revisit of The MacKay Algorithm.

, , , and . UAI, AUAI Press, (2016)

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Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks., , and . CoRR, (2018)Opinion helpfulness prediction in the presence of "words of few mouths"., , and . World Wide Web, 15 (2): 117-138 (2012)On Link Prediction in Knowledge Bases: Max-K Criterion and Prediction Protocols., , , and . SIGIR, page 755-764. ACM, (2018)Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model., , , and . CoRR, (2023)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)Dynamic Graph Convolutional Networks for Entity Linking., , , , , and . WWW, page 1149-1159. ACM / IW3C2, (2020)ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification., , , and . AAAI, page 10492-10500. AAAI Press, (2022)LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion., , , and . AAAI, page 2895-2902. AAAI Press, (2019)A Model for Aggregating Contributions of Synergistic Crowdsourcing Workflows., , , , and . AAAI, page 3102-3103. AAAI Press, (2014)