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ALICE: Towards Understanding Adversarial Learning for Joint Distribution
  Matching

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

5 September 2017
Chunyuan Li
Hao Liu
Changyou Chen
Yunchen Pu
Liqun Chen
Ricardo Henao
Lawrence Carin
    GAN
    FedML
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Papers citing "ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching"

28 / 28 papers shown
Title
A Chronological Survey of Theoretical Advancements in Generative
  Adversarial Networks for Computer Vision
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision
Hrishikesh Sharma
AI4CE
EGVM
13
1
0
02 Nov 2023
Semi-Supervised Image-to-Image Translation using Latent Space Mapping
Semi-Supervised Image-to-Image Translation using Latent Space Mapping
Pan Zhang
Jianmin Bao
Ting Zhang
Dong Chen
Fang Wen
16
1
0
29 Mar 2022
Multimodal Adversarially Learned Inference with Factorized
  Discriminators
Multimodal Adversarially Learned Inference with Factorized Discriminators
Wenxue Chen
Jianke Zhu
43
3
0
20 Dec 2021
LAFITE: Towards Language-Free Training for Text-to-Image Generation
LAFITE: Towards Language-Free Training for Text-to-Image Generation
Yufan Zhou
Ruiyi Zhang
Changyou Chen
Chunyuan Li
Chris Tensmeyer
Tong Yu
Jiuxiang Gu
Jinhui Xu
Tong Sun
VLM
21
162
0
27 Nov 2021
Symmetric Wasserstein Autoencoders
Symmetric Wasserstein Autoencoders
S. Sun
Hong Guo
DiffM
GAN
16
0
0
24 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
Abhishek Sinha
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
19
118
0
12 Jun 2021
Dual Contrastive Learning for Unsupervised Image-to-Image Translation
Dual Contrastive Learning for Unsupervised Image-to-Image Translation
Junlin Han
M. Shoeiby
L. Petersson
M. Armin
SSL
20
150
0
15 Apr 2021
DataLens: Scalable Privacy Preserving Training via Gradient Compression
  and Aggregation
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation
Boxin Wang
Fan Wu
Yunhui Long
Luka Rimanic
Ce Zhang
Bo-wen Li
FedML
21
62
0
20 Mar 2021
AVAE: Adversarial Variational Auto Encoder
AVAE: Adversarial Variational Auto Encoder
Antoine Plumerault
Hervé Le Borgne
C´eline Hudelot
GAN
DRL
13
15
0
21 Dec 2020
Multimodal Image-to-Image Translation via Mutual Information Estimation
  and Maximization
Multimodal Image-to-Image Translation via Mutual Information Estimation and Maximization
Zhiwen Zuo
Lei Zhao
Zhizhong Wang
Haibo Chen
Ailin Li
Qijiang Xu
Wei Xing
Dongming Lu
GAN
32
0
0
08 Aug 2020
PSIGAN: Joint probabilistic segmentation and image distribution matching
  for unpaired cross-modality adaptation based MRI segmentation
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentation
Jue Jiang
Yu-chi Hu
N. Tyagi
A. Rimner
N. Lee
Joseph O. Deasy
S. Berry
H. Veeraraghavan
OOD
MedIm
16
40
0
18 Jul 2020
Learning Representations by Maximizing Mutual Information in Variational
  Autoencoders
Learning Representations by Maximizing Mutual Information in Variational Autoencoders
Ali Lotfi-Rezaabad
S. Vishwanath
DRL
SSL
7
38
0
21 Dec 2019
Triple Generative Adversarial Networks
Triple Generative Adversarial Networks
Chongxuan Li
Kun Xu
Jiashuo Liu
Jun Zhu
Bo Zhang
GAN
10
41
0
20 Dec 2019
Twin Auxiliary Classifiers GAN
Twin Auxiliary Classifiers GAN
Mingming Gong
Yanwu Xu
Chunyuan Li
Kuncai Zhang
Kayhan Batmanghelich
16
33
0
05 Jul 2019
A gradual, semi-discrete approach to generative network training via
  explicit Wasserstein minimization
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization
Yucheng Chen
Matus Telgarsky
Chao Zhang
Bolton Bailey
Daniel J. Hsu
Jian-wei Peng
GAN
OT
11
17
0
08 Jun 2019
TraVeLGAN: Image-to-image Translation by Transformation Vector Learning
TraVeLGAN: Image-to-image Translation by Transformation Vector Learning
Matthew Amodio
Smita Krishnaswamy
GAN
8
108
0
25 Feb 2019
Learning Implicit Fields for Generative Shape Modeling
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen
Hao Zhang
AI4CE
3DV
6
1,606
0
06 Dec 2018
Generating Informative and Diverse Conversational Responses via
  Adversarial Information Maximization
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
Yizhe Zhang
Michel Galley
Jianfeng Gao
Zhe Gan
Xiujun Li
Chris Brockett
W. Dolan
10
293
0
16 Sep 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
20
41
0
08 Jun 2018
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling
Changyou Chen
Ruiyi Zhang
Wenlin Wang
Bai Li
Liqun Chen
11
86
0
29 May 2018
MGGAN: Solving Mode Collapse using Manifold Guided Training
MGGAN: Solving Mode Collapse using Manifold Guided Training
Duhyeon Bang
Hyunjung Shim
GAN
17
77
0
12 Apr 2018
Causal Generative Domain Adaptation Networks
Causal Generative Domain Adaptation Networks
Mingming Gong
Kun Zhang
Biwei Huang
Clark Glymour
Dacheng Tao
Kayhan Batmanghelich
CML
OOD
TTA
14
21
0
12 Apr 2018
MINE: Mutual Information Neural Estimation
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
10
1,247
0
12 Jan 2018
Adversarial Information Factorization
Adversarial Information Factorization
Antonia Creswell
Yumnah Mohamied
B. Sengupta
Anil A Bharath
CVBM
GAN
19
23
0
14 Nov 2017
Adversarial Symmetric Variational Autoencoder
Adversarial Symmetric Variational Autoencoder
Yunchen Pu
Weiyao Wang
Ricardo Henao
Liqun Chen
Zhe Gan
Chunyuan Li
Lawrence Carin
DRL
GAN
26
78
0
14 Nov 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
25
2,967
0
19 Oct 2017
Continuous-Time Flows for Efficient Inference and Density Estimation
Continuous-Time Flows for Efficient Inference and Density Estimation
Changyou Chen
Chunyuan Li
Liquan Chen
Wenlin Wang
Yunchen Pu
Lawrence Carin
TPM
32
57
0
04 Sep 2017
Recent Advances in Transfer Learning for Cross-Dataset Visual
  Recognition: A Problem-Oriented Perspective
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
Jing Zhang
Wanqing Li
P. Ogunbona
Dong Xu
OOD
19
46
0
11 May 2017
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