Adaptive Transfer Learning of Multi-View Time Series Classification

no code implementations • 14 Oct 2019 • Donglin Zhan, Shiyu Yi, Dongli Xu, Xiao Yu, Denglin Jiang, Siqi Yu, Haoting Zhang, Wenfang Shangguan, Weihua Zhang

In this paper, we first proposed a general adaptive transfer learning framework for multi-view time series data, which shows strong ability in storing inter-view importance value in the process of knowledge transfer.

Classification Density Estimation +5

FIS-GAN: GAN with Flow-based Importance Sampling

no code implementations • 6 Oct 2019 • Shiyu Yi, Donglin Zhan, Wenqing Zhang, Denglin Jiang, Kang An, Hao Wang

Generative Adversarial Networks (GAN) training process, in most cases, apply Uniform or Gaussian sampling methods in the latent space, which probably spends most of the computation on examples that can be properly handled and easy to generate.

Density Estimation Stochastic Optimization