Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective | 0 | 0.34 | 2020 |
A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning. | 0 | 0.34 | 2019 |
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks. | 1 | 0.35 | 2019 |
Distributional Concavity Regularization for GANs. | 0 | 0.34 | 2019 |
A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning. | 0 | 0.34 | 2019 |
Spectral Normalization for Generative Adversarial Networks. | 163 | 3.14 | 2018 |
cGANs with Projection Discriminator. | 18 | 0.57 | 2018 |
Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration. | 0 | 0.34 | 2018 |
Synthetic Gradient Methods with Virtual Forward-Backward Networks. | 0 | 0.34 | 2017 |
Distributional Smoothing by Virtual Adversarial Examples. | 13 | 1.29 | 2015 |