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Fed-Tra: Improving Accuracy of Deep Learning Model on Non-iid in Federated Learning.

, , , , , , , и . ICA3PP (1), том 13155 из Lecture Notes in Computer Science, стр. 790-803. Springer, (2021)

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Jun Hu

Zaijun Hu

Hu Wang

Bing Hu

Ruguo Hu

 

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ContE: contextualized knowledge graph embedding for circular relations., , , , , и . Data Min. Knowl. Discov., 37 (1): 110-135 (2023)DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction., , , , , и . ECML/PKDD (3), том 12459 из Lecture Notes in Computer Science, стр. 347-363. Springer, (2020)RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval., , , , , и . EMNLP (Findings), стр. 3036-3047. Association for Computational Linguistics, (2022)Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation., , , и . EMNLP, стр. 5197-5206. Association for Computational Linguistics, (2022)Smoothed Contrastive Learning for Unsupervised Sentence Embedding., , , , , и . COLING, стр. 4902-4906. International Committee on Computational Linguistics, (2022)TS-Bert: Time Series Anomaly Detection via Pre-training Model Bert., , , , , и . ICCS (2), том 12743 из Lecture Notes in Computer Science, стр. 209-223. Springer, (2021)SEGP: Stance-Emotion Joint Data Augmentation with Gradual Prompt-Tuning for Stance Detection., , , , и . ICCS (3), том 13352 из Lecture Notes in Computer Science, стр. 577-590. Springer, (2022)A GPU memory efficient speed-up scheme for training ultra-deep neural networks: poster., , , , , , и . PPoPP, стр. 397-398. ACM, (2019)Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations., , , , и . ACL (1), стр. 10835-10852. Association for Computational Linguistics, (2023)CGAN Based Cloud Computing Server Power Curve Generating., , , и . ICA3PP (4), том 11337 из Lecture Notes in Computer Science, стр. 12-20. Springer, (2018)