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Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach
Recently, Generative Adversarial Networks (GANs) have demonstrated their...
02/09/2021 ∙ by Yikai Zhang, et al. ∙
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Distribution Matching for Crowd Counting
In crowd counting, each training image contains multiple people, where e...
09/28/2020 ∙ by Boyu Wang, et al. ∙
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Latent Space Optimal Transport for Generative Models
Variational Auto-Encoders enforce their learned intermediate latent-spac...
09/16/2018 ∙ by Huidong Liu, et al. ∙
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Implementation of Stochastic Quasi-Newton's Method in PyTorch
In this paper, we implement the Stochastic Damped LBFGS (SdLBFGS) for st...
05/07/2018 ∙ by Yingkai Li, et al. ∙
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