Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

28 December 2020

Huangjie Zheng

Mingyuan Zhou

Papers citing "Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions"

50 / 54 papers shown

Title
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting Zheang Huai Hui Tang Yi Li Zhe Chen Xiaomeng Li VLM 121 0 0 13 May 2025
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning Miaoge Li Jingcai Guo Richard Yi Da Xu Dongsheng Wang Xiaofeng Cao Zhijie Rao Song Guo CoGe 126 3 0 28 Jan 2025
Partition-Guided GANs Mohammadreza Armandpour A. Sadeghian Chunyuan Li Mingyuan Zhou GAN 47 19 0 02 Apr 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) Jan Stanczuk Christian Etmann L. Kreusser Carola-Bibiane Schönlieb GAN 30 48 0 02 Mar 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 268 6,293 0 26 Nov 2020
Differentiable Augmentation for Data-Efficient GAN Training Shengyu Zhao Zhijian Liu Ji Lin Jun-Yan Zhu Song Han 74 604 0 18 Jun 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 120 1,873 0 11 Jun 2020
Image Augmentations for GAN Training Zhengli Zhao Zizhao Zhang Ting-Li Chen Sameer Singh Han Zhang 51 137 0 04 Jun 2020
Analyzing and Improving the Image Quality of StyleGAN Tero Karras S. Laine M. Aittala Janne Hellsten J. Lehtinen Timo Aila GAN 256 5,769 0 03 Dec 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 46 61 0 09 Oct 2019
How Well Do WGANs Estimate the Wasserstein Metric? Anton Mallasto Guido Montúfar Augusto Gerolin 32 25 0 09 Oct 2019
On the estimation of the Wasserstein distance in generative models Thomas Pinetz Daniel Soukup Thomas Pock GAN 39 9 0 02 Oct 2019
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation Cheng-Han Lee Ziwei Liu Lingyun Wu Ping Luo CVBM 142 1,070 0 27 Jul 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 104 542 0 04 Jul 2019
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling Hao Zhang Bo Chen Long Tian Zhengjue Wang Mingyuan Zhou DRL 43 7 0 18 May 2019
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma D. Paudel Luc Van Gool DiffM 113 126 0 10 Apr 2019
Generalized Sliced Wasserstein Distances Soheil Kolouri Kimia Nadjahi Umut Simsekli Roland Badeau Gustavo K. Rohde 33 296 0 01 Feb 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 508 10,500 0 12 Dec 2018
Self-Supervised GANs via Auxiliary Rotation Loss Ting Chen Xiaohua Zhai Marvin Ritter Mario Lucic N. Houlsby SSL GAN 63 302 0 27 Nov 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs Yogesh Balaji Hamed Hassani Rama Chellappa Soheil Feizi GAN DRL 48 20 0 09 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 224 5,363 0 28 Sep 2018
Understanding VAEs in Fisher-Shannon Plane Huangjie Zheng Jiangchao Yao Ya Zhang Ivor W. Tsang Jia Wang 34 12 0 10 Jul 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 67 126 0 28 May 2018
Self-Attention Generative Adversarial Networks Han Zhang Ian Goodfellow Dimitris N. Metaxas Augustus Odena GAN 113 3,710 0 21 May 2018
Generative Modeling using the Sliced Wasserstein Distance Ishani Deshpande Ziyu Zhang Alex Schwing GAN 41 223 0 29 Mar 2018
Improving GANs Using Optimal Transport Tim Salimans Han Zhang Alec Radford Dimitris N. Metaxas OT GAN 47 323 0 15 Mar 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 140 2,133 0 01 Mar 2018
Degeneration in VAE: in the Light of Fisher Information Loss Huangjie Zheng Jiangchao Yao Ya Zhang Ivor W. Tsang DRL 37 17 0 19 Feb 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 137 4,421 0 16 Feb 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 88 1,478 0 04 Jan 2018
Geometrical Insights for Implicit Generative Modeling Léon Bottou Martín Arjovsky David Lopez-Paz Maxime Oquab 43 49 0 21 Dec 2017
PacGAN: The power of two samples in generative adversarial networks Zinan Lin A. Khetan Giulia Fanti Sewoong Oh GAN 52 333 0 12 Dec 2017
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 105 7,318 0 27 Oct 2017
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step W. Fedus Mihaela Rosca Balaji Lakshminarayanan Andrew M. Dai S. Mohamed Ian Goodfellow GAN 49 210 0 23 Oct 2017
InfoVAE: Information Maximizing Variational Autoencoders Shengjia Zhao Jiaming Song Stefano Ermon DRL 72 442 0 07 Jun 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 114 625 0 01 Jun 2017
The Cramer Distance as a Solution to Biased Wasserstein Gradients Marc G. Bellemare Ivo Danihelka Will Dabney S. Mohamed Balaji Lakshminarayanan Stephan Hoyer Rémi Munos GAN 49 344 0 30 May 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 53 720 0 24 May 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning Akash Srivastava Lazar Valkov Chris Russell Michael U. Gutmann Charles Sutton SyDa GAN 48 677 0 22 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 139 9,509 0 31 Mar 2017
Variational Inference using Implicit Distributions Ferenc Huszár DRL GAN 105 135 0 27 Feb 2017
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 111 674 0 08 Nov 2016
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 118 415 0 11 Oct 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 371 8,999 0 10 Jun 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 183 4,748 0 04 Jan 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 497 27,231 0 02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 232 13,968 0 19 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 58 2,320 0 10 Jun 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 93 844 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 850 149,474 0 22 Dec 2014