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Found 5 papers, 2 papers with code
Towards Controllable Time Series Generation
This underscores its adeptness in seamlessly integrating latent features with external conditions.
TSGBench: Time Series Generation Benchmark
Synthetic Time Series Generation (TSG) is crucial in a range of applications, including data augmentation, anomaly detection, and privacy preservation.
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Knowledge distillation~(KD) aims to craft a compact student model that imitates the behavior of a pre-trained teacher in a target domain.
Privacy Threats Analysis to Secure Federated Learning
Federated learning is emerging as a machine learning technique that trains a model across multiple decentralized parties.
A novel improved fuzzy support vector machine based stock price trend forecast model
Support vector machine is a new type of machine learning method proposed in 1990s.
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