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Model Aggregation Method for Data Parallelism in Distributed Real-Time Machine Learning of Smart Sensing Equipment.

, , , , , , , , , and . IEEE Access, (2019)

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Speaker verification with deep features., , , , and . IJCNN, page 747-753. IEEE, (2014)Model Aggregation Method for Data Parallelism in Distributed Real-Time Machine Learning of Smart Sensing Equipment., , , , , , , , , and . IEEE Access, (2019)Video Instance Segmentation., , and . ICCV, page 5187-5196. IEEE, (2019)SHIKEBLCU at SemEval-2020 Task 2: An External Knowledge-enhanced Matrix for Multilingual and Cross-Lingual Lexical Entailment., , , and . SemEval@COLING, page 255-262. International Committee for Computational Linguistics, (2020)Wide-activated Deep Residual Networks based Restoration for BPG-compressed Images., , and . CVPR Workshops, page 2621-2624. Computer Vision Foundation / IEEE Computer Society, (2018)Unsupervised speaker adaptation for DNN-based TTS synthesis., , , and . ICASSP, page 5135-5139. IEEE, (2016)Speaker and language factorization in DNN-based TTS synthesis., , , and . ICASSP, page 5540-5544. IEEE, (2016)Sequence error (SE) minimization training of neural network for voice conversion., , , , and . INTERSPEECH, page 2283-2287. ISCA, (2014)Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models., , , , , , , and . LREC/COLING, page 17186-17204. ELRA and ICCL, (2024)Scale-wise Convolution for Image Restoration., , , and . CoRR, (2019)