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On Unifying Deep Generative Models

On Unifying Deep Generative Models

2 June 2017
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric P. Xing
    DRL
    GAN
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Papers citing "On Unifying Deep Generative Models"

25 / 25 papers shown
Title
A Mathematical Framework for Learning Probability Distributions
A Mathematical Framework for Learning Probability Distributions
Hongkang Yang
16
7
0
22 Dec 2022
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain
  MRI with Structured Variational Priors
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors
Anjun Hu
J. Falet
Brennan Nichyporuk
Changjian Shui
Douglas L. Arnold
Sotirios A. Tsaftaris
Tal Arbel
19
2
0
15 Nov 2022
Unifying Generative Models with GFlowNets and Beyond
Unifying Generative Models with GFlowNets and Beyond
Dinghuai Zhang
Ricky T. Q. Chen
Nikolay Malkin
Yoshua Bengio
BDL
AI4CE
54
25
0
06 Sep 2022
Approximating Constraint Manifolds Using Generative Models for
  Sampling-Based Constrained Motion Planning
Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning
C. Acar
K. P. Tee
26
6
0
14 Apr 2022
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
Yindong Chen
Yiwei Wang
Lulu Kang
Chun Liu
18
1
0
21 Nov 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
Damien Dablain
Bartosz Krawczyk
Nitesh V. Chawla
24
258
0
05 May 2021
Text Style Transfer: A Review and Experimental Evaluation
Text Style Transfer: A Review and Experimental Evaluation
Zhiqiang Hu
Roy Ka-Wei Lee
Charu C. Aggarwal
Aston Zhang
AI4TS
42
26
0
24 Oct 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
817
0
20 Jan 2020
Learning Data Manipulation for Augmentation and Weighting
Learning Data Manipulation for Augmentation and Weighting
Zhiting Hu
Bowen Tan
Ruslan Salakhutdinov
Tom Michael Mitchell
Eric P. Xing
19
116
0
28 Oct 2019
DeepScaffold: a comprehensive tool for scaffold-based de novo drug
  discovery using deep learning
DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning
Yibo Li
Jianxing Hu
Yanxing Wang
Jielong Zhou
L. Zhang
Zhenming Liu
22
92
0
20 Aug 2019
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites
Style Transfer for Texts: Retrain, Report Errors, Compare with Rewrites
Alexey Tikhonov
Viacheslav Shibaev
Aleksander Nagaev
Aigul Nugmanova
Ivan P. Yamshchikov
29
37
0
19 Aug 2019
Towards Multi-pose Guided Virtual Try-on Network
Towards Multi-pose Guided Virtual Try-on Network
Haoye Dong
Xiaodan Liang
Bochao Wang
Hanjiang Lai
Jia Zhu
Jian Yin
3DH
17
202
0
28 Feb 2019
Training Generative Adversarial Networks with Weights
Training Generative Adversarial Networks with Weights
Sufeng Duan
D. Paul
M. Fasoulakis
Y. Stylianou
GAN
19
6
0
06 Nov 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample
  Likelihoods in GANs
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
Yogesh Balaji
Hamed Hassani
Rama Chellappa
S. Feizi
GAN
DRL
41
20
0
09 Oct 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative
  Adversarial Nets
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
Yunchen Pu
Shuyang Dai
Zhe Gan
Weiyao Wang
Guoyin Wang
Yizhe Zhang
Ricardo Henao
Lawrence Carin
GAN
OOD
27
41
0
08 Jun 2018
Fixing a Broken ELBO
Fixing a Broken ELBO
Alexander A. Alemi
Ben Poole
Ian S. Fischer
Joshua V. Dillon
Rif A. Saurous
Kevin Patrick Murphy
DRL
BDL
34
80
0
01 Nov 2017
Symmetric Variational Autoencoder and Connections to Adversarial
  Learning
Symmetric Variational Autoencoder and Connections to Adversarial Learning
Liqun Chen
Shuyang Dai
Yunchen Pu
Chunyuan Li
Weiyao Wang
Lawrence Carin
DRL
GAN
30
70
0
06 Sep 2017
Efficient Correlated Topic Modeling with Topic Embedding
Efficient Correlated Topic Modeling with Topic Embedding
Junxian He
Zhiting Hu
Taylor Berg-Kirkpatrick
Ying Huang
Eric P. Xing
21
48
0
01 Jul 2017
Steganographic Generative Adversarial Networks
Steganographic Generative Adversarial Networks
Denis Volkhonskiy
Ivan Nazarov
Evgeny Burnaev
GAN
34
214
0
16 Mar 2017
Toward Controlled Generation of Text
Toward Controlled Generation of Text
Zhiting Hu
Zichao Yang
Xiaodan Liang
Ruslan Salakhutdinov
Eric P. Xing
26
984
0
02 Mar 2017
Improved Variational Autoencoders for Text Modeling using Dilated
  Convolutions
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang
Zhiting Hu
Ruslan Salakhutdinov
Taylor Berg-Kirkpatrick
13
383
0
27 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,502
0
25 Jan 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
238
3,190
0
30 Oct 2016
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment
  Classification
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification
Xilun Chen
Yu Sun
Ben Athiwaratkun
Claire Cardie
Kilian Q. Weinberger
224
315
0
06 Jun 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,545
0
25 Jan 2016
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