JointGAN: Multi-Domain Joint Distribution Learning with Generative
Adversarial Nets

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets

8 June 2018

Lawrence Carin

Papers citing "JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets"

7 / 7 papers shown

Title
Free Lunch for Domain Adversarial Training: Environment Label Smoothing Yifan Zhang Xue Wang Jian Liang Zhang Zhang Liangsheng Wang Rong Jin Tien-Ping Tan 54 40 0 01 Feb 2023
Distribution estimation and change-point estimation for time series via DNN-based GANs Jianya Lu Ying Mo Zhijie Xiao Lihu Xu Qiuran Yao AI4TS 38 0 0 26 Nov 2022
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions C. Ekbote Moksh Jain Payel Das Yoshua Bengio 47 4 0 01 Nov 2022
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision Siddharth Biswal Peiye Zhuang A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Jimeng Sun MedIm 27 5 0 10 Jul 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 288 0 30 Apr 2020
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 38 41 0 20 Dec 2019
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization Yizhe Zhang Michel Galley Jianfeng Gao Zhe Gan Xiujun Li Chris Brockett W. Dolan 32 296 0 16 Sep 2018