Hierarchical Implicit Models and Likelihood-Free Variational Inference

28 February 2017

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

9 / 9 papers shown

Title
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 27 263 0 11 Aug 2019
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 13 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 16 126 0 02 Jun 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 21 100 0 02 Jun 2017
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models M. Zhang Sinead Williamson F. Pérez-Cruz 16 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 23 193 0 13 Jan 2017