Hierarchical Implicit Models and Likelihood-Free Variational Inference

28 February 2017

Papers citing "Hierarchical Implicit Models and Likelihood-Free Variational Inference"

10 / 10 papers shown

Title
DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generation Xinyuan Chen Yangchen Xie Li Sun Yue Lu 9 4 0 30 Dec 2022
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator Cuong V. Nguyen Tien-Dung Cao Tram Truong-Huu Khanh Pham Binh T. Nguyen GAN 13 3 0 21 Oct 2021
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 11 292 0 09 Jun 2020
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong Shiyu Chang Yifan Jiang Zhangyang Wang GAN 27 261 0 11 Aug 2019
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 15 4,385 0 16 Feb 2018
Techreport: Time-sensitive probabilistic inference for the edge Christian Weilbach Annette Bieniusa 15 0 0 30 Oct 2017
On Unifying Deep Generative Models Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric P. Xing DRL GAN 18 126 0 02 Jun 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 26 100 0 02 Jun 2017
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models M. Zhang Sinead Williamson F. Pérez-Cruz 18 1 0 19 May 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 25 193 0 13 Jan 2017