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Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters.

, , , , , , , , , , , , , , , , , and . CoRR, (2022)

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Cross-Category Cross-Semantic Regularization for Fine-Grained Image Recognition., , , , and . PRCV (1), volume 11857 of Lecture Notes in Computer Science, page 110-122. Springer, (2019)Label-Smooth Learning for Fine-Grained Visual Categorization., , , , and . ACPR (1), volume 12046 of Lecture Notes in Computer Science, page 17-31. Springer, (2019)The Effectiveness of Noise in Data Augmentation for Fine-Grained Image Classification., , , , and . ACPR (1), volume 12046 of Lecture Notes in Computer Science, page 779-792. Springer, (2019)A News-Driven Recurrent Neural Network for Market Volatility Prediction., , , , , and . ACPR, page 776-781. IEEE Computer Society, (2017)MGCoT: Multi-Grained Contextual Transformer for table-based text generation., , , , and . Expert Syst. Appl., (2024)Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters., , , , , , , , , and 8 other author(s). CoRR, (2022)Exploiting Category-Level Semantic Relationships for Fine-Grained Image Recognition., , , , , and . PRCV (1), volume 11857 of Lecture Notes in Computer Science, page 50-62. Springer, (2019)Mitigating Knowledge Conflicts in Data-to-Text Generation via the Internalization of Fact Extraction., , , , and . IJCNN, page 1-9. IEEE, (2024)Cross-X Learning for Fine-Grained Visual Categorization., , , , , , , and . ICCV, page 8241-8250. IEEE, (2019)