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Adversarially Learned Inference
v1v2v3 (latest)

Adversarially Learned Inference

2 June 2016
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
    GAN
ArXiv (abs)PDFHTML

Papers citing "Adversarially Learned Inference"

50 / 749 papers shown
Title
LocTex: Learning Data-Efficient Visual Representations from Localized
  Textual Supervision
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Zhijian Liu
Simon Stent
Jie Li
John Gideon
Song Han
VLM
106
10
0
26 Aug 2021
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic
  Style Transfer
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer
Wenju Xu
Chengjiang Long
Ruisheng Wang
Guanghui Wang
GAN
112
82
0
17 Aug 2021
Alleviating Mode Collapse in GAN via Diversity Penalty Module
Alleviating Mode Collapse in GAN via Diversity Penalty Module
Sen Pei
Richard Yi Da Xu
Shiming Xiang
Gaofeng Meng
36
1
0
05 Aug 2021
Self-Supervised Learning for Fine-Grained Image Classification
Self-Supervised Learning for Fine-Grained Image Classification
Farha Al Breiki
Muhammad Ridzuan
Rushali Grandhe
SSL
79
6
0
29 Jul 2021
Discriminative-Generative Representation Learning for One-Class Anomaly
  Detection
Discriminative-Generative Representation Learning for One-Class Anomaly Detection
X. Xia
Xizhou Pan
Xing He
Jingfei Zhang
Ning Ding
Lin Ma
64
4
0
27 Jul 2021
Belief Propagation as Diffusion
Belief Propagation as Diffusion
Yael Fregier
54
12
0
26 Jul 2021
FoleyGAN: Visually Guided Generative Adversarial Network-Based
  Synchronous Sound Generation in Silent Videos
FoleyGAN: Visually Guided Generative Adversarial Network-Based Synchronous Sound Generation in Silent Videos
Sanchita Ghose
John J. Prevost
GAN
59
26
0
20 Jul 2021
MCL-GAN: Generative Adversarial Networks with Multiple Specialized
  Discriminators
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
Jinyoung Choi
Bohyung Han
89
18
0
15 Jul 2021
Towards Unsupervised Domain Generalization
Towards Unsupervised Domain Generalization
Xingxuan Zhang
Linjun Zhou
Renzhe Xu
Peng Cui
Zheyan Shen
Haoxin Liu
OODAI4CE
95
51
0
13 Jul 2021
Force-in-domain GAN inversion
Force-in-domain GAN inversion
Guangjie Leng
Yekun Zhu
Zhi-Qin John Xu
GAN
38
0
0
13 Jul 2021
InfoVAEGAN : learning joint interpretable representations by information
  maximization and maximum likelihood
InfoVAEGAN : learning joint interpretable representations by information maximization and maximum likelihood
Fei Ye
A. Bors
GANDRL
44
15
0
09 Jul 2021
Lifelong Mixture of Variational Autoencoders
Lifelong Mixture of Variational Autoencoders
Fei Ye
A. Bors
DRL
49
27
0
09 Jul 2021
Self-Contrastive Learning with Hard Negative Sampling for
  Self-supervised Point Cloud Learning
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning
Bianli Du
Xiang Gao
Wei Hu
Xin Li
3DPCSSL
79
82
0
05 Jul 2021
A Survey on Adversarial Image Synthesis
William Roy
Glen Kelly
R. Leer
Frederick Ricardo
GAN
71
3
0
30 Jun 2021
On the Generative Utility of Cyclic Conditionals
On the Generative Utility of Cyclic Conditionals
Chang-Shu Liu
Haoyue Tang
Tao Qin
Jintao Wang
Tie-Yan Liu
82
3
0
30 Jun 2021
Differential Morph Face Detection using Discriminative Wavelet Sub-bands
Differential Morph Face Detection using Discriminative Wavelet Sub-bands
Baaria Chaudhary
Poorya Aghdaie
Sobhan Soleymani
J. Dawson
Nasser M. Nasrabadi
CVBM
92
25
0
24 Jun 2021
Symmetric Wasserstein Autoencoders
Symmetric Wasserstein Autoencoders
S. Sun
Hong Guo
DiffMGAN
46
0
0
24 Jun 2021
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis
Shichong Peng
Alireza Moazeni
Ke Li
GAN
66
0
0
16 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
VLMDiffM
135
121
0
12 Jun 2021
Stein Latent Optimization for Generative Adversarial Networks
Stein Latent Optimization for Generative Adversarial Networks
Uiwon Hwang
Heeseung Kim
Dahuin Jung
Hyemi Jang
Hyungyu Lee
Sungroh Yoon
GAN
119
2
0
09 Jun 2021
Generative Models as a Data Source for Multiview Representation Learning
Generative Models as a Data Source for Multiview Representation Learning
Ali Jahanian
Xavier Puig
Yonglong Tian
Phillip Isola
99
129
0
09 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative
  Modeling with a Large-scale Competition
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
C. Bai
Hsuan-Tien Lin
Colin Raffel
Wendy Kan
48
35
0
06 Jun 2021
Hierarchical Video Generation for Complex Data
Hierarchical Video Generation for Complex Data
Lluis Castrejon
Nicolas Ballas
Aaron Courville
VGen
69
4
0
04 Jun 2021
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model
  Independent Event Classification for the Large Hadron Collider
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider
T. Aarrestad
M. Beekveld
M. Bona
A. Boveia
S. Caron
...
M. White
E. Wulff
E. Wallin
K. Wozniak
Z. Zhang
95
83
0
28 May 2021
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural
  Network: A Survey
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Xiaoyu Zhang
Chao Chen
Yi Xie
Xiaofeng Chen
Jun Zhang
Yang Xiang
FedML
58
7
0
13 May 2021
Curious Representation Learning for Embodied Intelligence
Curious Representation Learning for Embodied Intelligence
Yilun Du
Chuang Gan
Phillip Isola
SSLLM&Ro
172
40
0
03 May 2021
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image
  Editing
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing
Hyunsu Kim
Yunjey Choi
Junho Kim
S. Yoo
Youngjung Uh
86
148
0
30 Apr 2021
StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis
StEP: Style-based Encoder Pre-training for Multi-modal Image Synthesis
Moustafa Meshry
Yixuan Ren
L. Davis
Abhinav Shrivastava
35
11
0
14 Apr 2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning
  and Strong Out-of-Domain Generalization
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Daiqing Li
Junlin Yang
Karsten Kreis
Antonio Torralba
Sanja Fidler
GANMedIm
112
189
0
12 Apr 2021
Protein sequence design with deep generative models
Protein sequence design with deep generative models
Zachary Wu
Kadina E. Johnston
F. Arnold
Kevin Kaichuang Yang
86
142
0
09 Apr 2021
SiT: Self-supervised vIsion Transformer
SiT: Self-supervised vIsion Transformer
Sara Atito Ali Ahmed
Muhammad Awais
J. Kittler
ViT
116
139
0
08 Apr 2021
Creativity and Machine Learning: A Survey
Creativity and Machine Learning: A Survey
Giorgio Franceschelli
Mirco Musolesi
VLMAI4CE
129
43
0
06 Apr 2021
Training Deep Normalizing Flow Models in Highly Incomplete Data
  Scenarios with Prior Regularization
Training Deep Normalizing Flow Models in Highly Incomplete Data Scenarios with Prior Regularization
Edgar A. Bernal
41
1
0
03 Apr 2021
Partition-Guided GANs
Partition-Guided GANs
Mohammadreza Armandpour
A. Sadeghian
Chunyuan Li
Mingyuan Zhou
GAN
103
19
0
02 Apr 2021
In&Out : Diverse Image Outpainting via GAN Inversion
In&Out : Diverse Image Outpainting via GAN Inversion
Yen-Chi Cheng
C. Lin
Hsin-Ying Lee
Jian Ren
Sergey Tulyakov
Ming-Hsuan Yang
DiffM
67
70
0
01 Apr 2021
Linear Semantics in Generative Adversarial Networks
Linear Semantics in Generative Adversarial Networks
Jianjin Xu
Changxi Zheng
GAN
65
36
0
01 Apr 2021
Generative Minimization Networks: Training GANs Without Competition
Generative Minimization Networks: Training GANs Without Competition
Paulina Grnarova
Yannic Kilcher
Kfir Y. Levy
Aurelien Lucchi
Thomas Hofmann
GAN
37
6
0
23 Mar 2021
Bayesian Distributional Policy Gradients
Bayesian Distributional Policy Gradients
Luchen Li
A. Faisal
BDLOffRL
69
9
0
20 Mar 2021
Using latent space regression to analyze and leverage compositionality
  in GANs
Using latent space regression to analyze and leverage compositionality in GANs
Lucy Chai
Jonas Wulff
Phillip Isola
GAN
105
76
0
18 Mar 2021
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation,
  Segmentation and Radiogenomic Survival Prediction
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction
Mobarakol Islam
Navodini Wijethilake
Hongliang Ren
65
33
0
17 Mar 2021
Adversarial Graph Disentanglement
Adversarial Graph Disentanglement
Shuai Zheng
Zhenfeng Zhu
Zhizhe Liu
Shuiwang Ji
Yao Zhao
66
10
0
12 Mar 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream
  Data? A Theoretical Analysis
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
Jiaye Teng
Weiran Huang
Haowei He
SSL
87
12
0
05 Mar 2021
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
116
594
0
28 Feb 2021
A Brief Introduction to Generative Models
A Brief Introduction to Generative Models
Alex Lamb
GANVLM
85
16
0
27 Feb 2021
MIND: Inductive Mutual Information Estimation, A Convex Maximum-Entropy
  Copula Approach
MIND: Inductive Mutual Information Estimation, A Convex Maximum-Entropy Copula Approach
Yves-Laurent Kom Samo
40
8
0
25 Feb 2021
Unsupervised Brain Anomaly Detection and Segmentation with Transformers
Unsupervised Brain Anomaly Detection and Segmentation with Transformers
W. H. Pinaya
Petru-Daniel Tudosiu
Robert J. Gray
G. Rees
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
ViTMedIm
72
61
0
23 Feb 2021
Defuse: Harnessing Unrestricted Adversarial Examples for Debugging
  Models Beyond Test Accuracy
Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy
Dylan Slack
N. Rauschmayr
K. Kenthapadi
AAML
55
2
0
11 Feb 2021
Modeling the Hallucinating Brain: A Generative Adversarial Framework
Modeling the Hallucinating Brain: A Generative Adversarial Framework
M. Zareh
M. Manshaei
Sayed Jalal Zahabi
GAN
8
1
0
09 Feb 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
DetCo: Unsupervised Contrastive Learning for Object Detection
Enze Xie
Jian Ding
Wenhai Wang
Xiaohang Zhan
Hang Xu
Peize Sun
Zhenguo Li
Ping Luo
101
325
0
09 Feb 2021
Self-supervised driven consistency training for annotation efficient
  histopathology image analysis
Self-supervised driven consistency training for annotation efficient histopathology image analysis
C. Srinidhi
Seung Wook Kim
Fu-Der Chen
Anne L. Martel
SSL
101
111
0
07 Feb 2021
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