Prb-GAN: A Probabilistic Framework for GAN Modelling

12 July 2021

Papers citing "Prb-GAN: A Probabilistic Framework for GAN Modelling"

26 / 26 papers shown

Title
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 138 1,309 0 05 Dec 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong Shiyu Chang Yi Ding Zhangyang Wang GAN 92 263 0 11 Aug 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 139 544 0 04 Jul 2019
On Stabilizing Generative Adversarial Training with Noise Simon Jenni Paolo Favaro GAN 65 62 0 11 Jun 2019
Attending to Discriminative Certainty for Domain Adaptation V. Kurmi Shanu Kumar Vinay P. Namboodiri OOD 68 108 0 08 Jun 2019
SinGAN: Learning a Generative Model from a Single Natural Image Tamar Rott Shaham Tali Dekel T. Michaeli GAN VLM 118 843 0 02 May 2019
Max-Sliced Wasserstein Distance and its use for GANs Ishani Deshpande Yuan-Ting Hu Ruoyu Sun A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Zhizhen Zhao David A. Forsyth Alex Schwing GAN 59 201 0 11 Apr 2019
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma D. Paudel Luc Van Gool DiffM 131 126 0 10 Apr 2019
Generative Dual Adversarial Network for Generalized Zero-shot Learning He Huang Chang-Dong Wang Philip S. Yu Chang-Dong Wang GAN 107 222 0 12 Nov 2018
Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators Gonçalo Mordido Haojin Yang Christoph Meinel SyDa 89 49 0 30 Jul 2018
Generative Adversarial Networks for Extreme Learned Image Compression E. Agustsson Michael Tschannen Fabian Mentzer Radu Timofte Luc Van Gool GAN 75 563 0 09 Apr 2018
Are GANs Created Equal? A Large-Scale Study Mario Lucic Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet EGVM 122 1,013 0 28 Nov 2017
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation Yunjey Choi Min-Je Choi M. Kim Jung-Woo Ha Sunghun Kim Jaegul Choo GAN 166 3,558 0 24 Nov 2017
Probabilistic Generative Adversarial Networks Hamid Eghbalzadeh Gerhard Widmer GAN 55 8 0 06 Aug 2017
Bayesian GAN Yunus Saatci A. Wilson GAN 91 133 0 26 May 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 274 3,137 0 19 May 2017
Multi-Agent Diverse Generative Adversarial Networks Arna Ghosh Viveka Kulharia Vinay P. Namboodiri Philip Torr P. Dokania GAN 106 307 0 10 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 230 9,568 0 31 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 383 4,724 0 15 Mar 2017
Boundary-Seeking Generative Adversarial Networks R. Devon Hjelm Athul Paul Jacob Tong Che Adam Trischler Kyunghyun Cho Yoshua Bengio GAN 97 170 0 27 Feb 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities Guo-Jun Qi GAN 88 351 0 23 Jan 2017
Mode Regularized Generative Adversarial Networks Tong Che Yanran Li Athul Paul Jacob Yoshua Bengio Wenjie Li GAN 143 557 0 07 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 850 5,849 0 05 Dec 2016
Least Squares Generative Adversarial Networks Xudong Mao Qing Li Haoran Xie Raymond Y. K. Lau Zhen Wang Stephen Paul Smolley GAN 345 4,580 0 13 Nov 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 167 1,658 0 02 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 909 9,364 0 06 Jun 2015