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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"

41 / 41 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
Improving Lipschitz-Constrained Neural Networks by Learning Activation
  Functions
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions
Stanislas Ducotterd
Alexis Goujon
Pakshal Bohra
Dimitris Perdios
Sebastian Neumayer
M. Unser
35
12
0
28 Oct 2022
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with
  Anomaly-Aware Bidirectional GANs
Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
Bowen Tian
Qinliang Su
Jian Yin
31
18
0
28 Apr 2022
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
18
1
0
29 Mar 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable
  Models
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Ge Kan
Jinhu Lu
Tian Wang
Baochang Zhang
Aichun Zhu
Lei Huang
Guodong Guo
H. Snoussi
33
6
0
24 Mar 2022
Multimodal Adversarially Learned Inference with Factorized
  Discriminators
Multimodal Adversarially Learned Inference with Factorized Discriminators
Wenxue Chen
Jianke Zhu
51
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
35
163
0
27 Nov 2021
Symmetric Wasserstein Autoencoders
Symmetric Wasserstein Autoencoders
S. Sun
Hong Guo
DiffM
GAN
26
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
30
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
31
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
Wei Ping
Fan Wu
Yunhui Long
Luka Rimanic
Ce Zhang
Bo-wen Li
FedML
45
63
0
20 Mar 2021
GAN Inversion: A Survey
GAN Inversion: A Survey
Weihao Xia
Yulun Zhang
Yujiu Yang
Jing-Hao Xue
Bolei Zhou
Ming-Hsuan Yang
DiffM
63
507
0
14 Jan 2021
AVAE: Adversarial Variational Auto Encoder
AVAE: Adversarial Variational Auto Encoder
Antoine Plumerault
Hervé Le Borgne
C´eline Hudelot
GAN
DRL
29
15
0
21 Dec 2020
Conditional Generation of Medical Images via Disentangled Adversarial
  Inference
Conditional Generation of Medical Images via Disentangled Adversarial Inference
Mohammad Havaei
Ximeng Mao
Yiping Wang
Qicheng Lao
GAN
MedIm
26
20
0
08 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
42
0
0
08 Aug 2020
Contrastive Learning for Unpaired Image-to-Image Translation
Contrastive Learning for Unpaired Image-to-Image Translation
Taesung Park
Alexei A. Efros
Richard Y. Zhang
Jun-Yan Zhu
SSL
31
1,190
0
30 Jul 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
Harini Veeraraghavan
OOD
MedIm
16
40
0
18 Jul 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
Chunyuan Li
Xiang Gao
Yuan Li
Baolin Peng
Xiujun Li
Yizhe Zhang
Jianfeng Gao
SSL
DRL
32
181
0
05 Apr 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
818
0
20 Jan 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
14
39
0
21 Dec 2019
Learning Diverse Stochastic Human-Action Generators by Learning Smooth
  Latent Transitions
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
Zhenyi Wang
Ping Yu
Yang Zhao
Ruiyi Zhang
Yufan Zhou
Junsong Yuan
Changyou Chen
19
52
0
21 Dec 2019
Triple Generative Adversarial Networks
Triple Generative Adversarial Networks
Chongxuan Li
Kun Xu
Jiashuo Liu
Jun Zhu
Bo Zhang
GAN
31
41
0
20 Dec 2019
Twin Auxiliary Classifiers GAN
Twin Auxiliary Classifiers GAN
Biwei Huang
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
16
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
21
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
8
1,608
0
06 Dec 2018
Point Cloud GAN
Point Cloud GAN
Chun-Liang Li
Manzil Zaheer
Yang Zhang
Barnabás Póczós
Ruslan Salakhutdinov
3DPC
10
209
0
13 Oct 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
32
294
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
35
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
21
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
30
77
0
12 Apr 2018
Causal Generative Domain Adaptation Networks
Causal Generative Domain Adaptation Networks
Biwei Huang
Kun Zhang
Erdun Gao
Clark Glymour
Dacheng Tao
Kayhan Batmanghelich
CML
OOD
TTA
30
21
0
12 Apr 2018
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Amjad Almahairi
Sai Rajeswar
Alessandro Sordoni
Philip Bachman
Aaron Courville
GAN
18
420
0
27 Feb 2018
Hierarchical Adversarially Learned Inference
Hierarchical Adversarially Learned Inference
Mohamed Ishmael Belghazi
Sai Rajeswar
Olivier Mastropietro
Negar Rostamzadeh
Jovana Mitrović
Aaron Courville
GAN
BDL
40
29
0
04 Feb 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
41
1,250
0
12 Jan 2018
Adversarial Information Factorization
Adversarial Information Factorization
Antonia Creswell
Yumnah Mohamied
B. Sengupta
Anil A Bharath
CVBM
GAN
29
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
42
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
57
2,973
0
19 Oct 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
38
70
0
06 Sep 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
34
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
27
46
0
11 May 2017
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