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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
HGAN: Hybrid Generative Adversarial Network
HGAN: Hybrid Generative Adversarial Network
Seyed Mehdi Iranmanesh
Nasser M. Nasrabadi
GAN
37
4
0
07 Feb 2021
Adversarial Text-to-Image Synthesis: A Review
Adversarial Text-to-Image Synthesis: A Review
Stanislav Frolov
Tobias Hinz
Federico Raue
Jörn Hees
Andreas Dengel
EGVM
84
178
0
25 Jan 2021
Image-to-Image Translation: Methods and Applications
Image-to-Image Translation: Methods and Applications
Yingxue Pang
Jianxin Lin
Tao Qin
Zhibo Chen
VLM
115
267
0
21 Jan 2021
Galaxy Image Translation with Semi-supervised Noise-reconstructed
  Generative Adversarial Networks
Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks
Qiufan Lin
D. Fouchez
Jérôme Pasquet
GAN
108
6
0
19 Jan 2021
GAN Inversion: A Survey
GAN Inversion: A Survey
Weihao Xia
Yulun Zhang
Yujiu Yang
Jing-Hao Xue
Bolei Zhou
Ming-Hsuan Yang
DiffM
251
520
0
14 Jan 2021
TrustMAE: A Noise-Resilient Defect Classification Framework using
  Memory-Augmented Auto-Encoders with Trust Regions
TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions
Daniel Stanley Tan
Yi-Chun Chen
Trista Pei-chun Chen
Wei-Chao Chen
UQCV
84
57
0
29 Dec 2020
Image Synthesis with Adversarial Networks: a Comprehensive Survey and
  Case Studies
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies
Pourya Shamsolmoali
Masoumeh Zareapoor
Eric Granger
Huiyu Zhou
Ruili Wang
M. E. Celebi
Jie Yang
EGVM
129
142
0
26 Dec 2020
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and
  GANs
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs
Ayaan Haque
GAN
46
32
0
26 Dec 2020
Soft-IntroVAE: Analyzing and Improving the Introspective Variational
  Autoencoder
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
Tal Daniel
Aviv Tamar
DRL
83
44
0
24 Dec 2020
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly
  Detection
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection
Teguh Budianto
Tomohiro Nakai
Kazunori Imoto
Takahiro Takimoto
Kosuke Haruki
GAN
26
3
0
22 Dec 2020
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
Spyros Gidaris
Andrei Bursuc
Gilles Puy
N. Komodakis
Matthieu Cord
P. Pérez
SSL
98
71
0
21 Dec 2020
AVAE: Adversarial Variational Auto Encoder
AVAE: Adversarial Variational Auto Encoder
Antoine Plumerault
Hervé Le Borgne
C´eline Hudelot
GANDRL
66
16
0
21 Dec 2020
Robustness of Facial Recognition to GAN-based Face-morphing Attacks
Robustness of Facial Recognition to GAN-based Face-morphing Attacks
Richard T. Marriott
S. Romdhani
S. Gentric
Liming Chen
AAMLCVBM
88
3
0
18 Dec 2020
Artificial Dummies for Urban Dataset Augmentation
Artificial Dummies for Urban Dataset Augmentation
Antonín Vobecký
David Hurych
Michal Uřičář
P. Pérez
Josef Sivic
3DH
43
15
0
15 Dec 2020
Learning Consistent Deep Generative Models from Sparse Data via
  Prediction Constraints
Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints
Gabriel Hope
Madina Abdrakhmanova
Xiaoyin Chen
Michael C. Hughes
M. C. Hughes
Erik B. Sudderth
DRL
39
0
0
12 Dec 2020
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
ESAD: End-to-end Deep Semi-supervised Anomaly Detection
Chaoqin Huang
Fei Ye
Peisen Zhao
Ya Zhang
Yanfeng Wang
Qi Tian
59
12
0
09 Dec 2020
Deep Unsupervised Image Anomaly Detection: An Information Theoretic
  Framework
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework
Fei Ye
Huangjie Zheng
Chaoqin Huang
Ya Zhang
106
13
0
09 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
GANMedIm
90
22
0
08 Dec 2020
GMM-Based Generative Adversarial Encoder Learning
GMM-Based Generative Adversarial Encoder Learning
Yuri Feigin
H. Spitzer
Raja Giryes
GANAI4CE
60
4
0
08 Dec 2020
Self-labeled Conditional GANs
Self-labeled Conditional GANs
M. Noroozi
SSL
136
11
0
03 Dec 2020
Mutual Information Maximization on Disentangled Representations for
  Differential Morph Detection
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
Sobhan Soleymani
Ali Dabouei
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
75
27
0
02 Dec 2020
Differential Morphed Face Detection Using Deep Siamese Networks
Differential Morphed Face Detection Using Deep Siamese Networks
Sobhan Soleymani
Baaria Chaudhary
Ali Dabouei
J. Dawson
Nasser M. Nasrabadi
CVBM
69
26
0
02 Dec 2020
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
Y. Nie
Ji Hou
Xiaoguang Han
Matthias Nießner
3DPC3DV
96
55
0
30 Nov 2020
Regularization with Latent Space Virtual Adversarial Training
Regularization with Latent Space Virtual Adversarial Training
Genki Osada
Budrul Ahsan
Revoti Prasad Bora
Takashi Nishide
87
14
0
26 Nov 2020
DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch
  Information Fusion
DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion
Lei Li
Suping Wu
55
15
0
21 Nov 2020
Dual Contradistinctive Generative Autoencoder
Dual Contradistinctive Generative Autoencoder
Gaurav Parmar
Dacheng Li
Kwonjoon Lee
Zhuowen Tu
GAN
73
82
0
19 Nov 2020
C-Learning: Learning to Achieve Goals via Recursive Classification
C-Learning: Learning to Achieve Goals via Recursive Classification
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
85
71
0
17 Nov 2020
Combining GANs and AutoEncoders for Efficient Anomaly Detection
Combining GANs and AutoEncoders for Efficient Anomaly Detection
F. Carrara
Giuseppe Amato
Luca Brombin
Fabrizio Falchi
Claudio Gennaro Isti Cnr
144
28
0
16 Nov 2020
Mode Penalty Generative Adversarial Network with adapted Auto-encoder
Mode Penalty Generative Adversarial Network with adapted Auto-encoder
Gahye Lee
Seungkyu Lee
GAN
14
0
0
16 Nov 2020
Unsupervised Learning of Dense Visual Representations
Unsupervised Learning of Dense Visual Representations
Pedro H. O. Pinheiro
Amjad Almahairi
Ryan Y. Benmalek
Florian Golemo
Aaron Courville
SSLMDE
114
193
0
11 Nov 2020
GENs: Generative Encoding Networks
GENs: Generative Encoding Networks
Surojit Saha
Shireen Y. Elhabian
Ross T. Whitaker
GAN
58
9
0
28 Oct 2020
Generative Adversarial Networks in Human Emotion Synthesis:A Review
Generative Adversarial Networks in Human Emotion Synthesis:A Review
Noushin Hajarolasvadi
M. A. Ramírez
H. Demirel
GAN
69
22
0
28 Oct 2020
S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels
S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels
A. Chakraborty
Rahul Ragesh
Mahir Shah
Nipun Kwatra
GAN
103
3
0
23 Oct 2020
Learning Occupancy Function from Point Clouds for Surface Reconstruction
Learning Occupancy Function from Point Clouds for Surface Reconstruction
Menglin Jia
M. Kyan
3DPC
68
18
0
22 Oct 2020
Explorable Tone Mapping Operators
Explorable Tone Mapping Operators
Chien-Chuan Su
Ren Wang
Hung-Jin Lin
Yu-Lun Liu
Chia-Ping Chen
Yu-Lin Chang
S. Pei
72
10
0
20 Oct 2020
Facial Emotion Recognition with Noisy Multi-task Annotations
Facial Emotion Recognition with Noisy Multi-task Annotations
Siwei Zhang
Zhiwu Huang
D. Paudel
Luc Van Gool
CVBM
61
10
0
19 Oct 2020
Latent Vector Recovery of Audio GANs
Latent Vector Recovery of Audio GANs
Andrew Keyes
N. Bayat
Vahid Reza Khazaie
Y. Mohsenzadeh
13
3
0
16 Oct 2020
Conditioning Trick for Training Stable GANs
Conditioning Trick for Training Stable GANs
Mohammad Esmaeilpour
Raymel Alfonso Sallo
Olivier St-Georges
P. Cardinal
Alessandro Lameiras Koerich
36
0
0
12 Oct 2020
A Simple Framework for Uncertainty in Contrastive Learning
A Simple Framework for Uncertainty in Contrastive Learning
Mike Wu
Noah D. Goodman
UQCV
96
19
0
05 Oct 2020
RG-Flow: A hierarchical and explainable flow model based on
  renormalization group and sparse prior
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
Hong-Ye Hu
Dian Wu
Yi-Zhuang You
Bruno A. Olshausen
Yubei Chen
BDLDRL
89
16
0
30 Sep 2020
Geometric Disentanglement by Random Convex Polytopes
Geometric Disentanglement by Random Convex Polytopes
M. Joswig
M. Kaluba
Lukas Ruff
65
3
0
29 Sep 2020
Variational Temporal Deep Generative Model for Radar HRRP Target
  Recognition
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition
D. Guo
Bo Chen
Wenchao Chen
Changbo Wang
Hongwei Liu
Mingyuan Zhou
BDL
86
36
0
28 Sep 2020
GANs with Variational Entropy Regularizers: Applications in Mitigating
  the Mode-Collapse Issue
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue
Pirazh Khorramshahi
Hossein Souri
Ramalingam Chellappa
Soheil Feizi
GANDRL
56
5
0
24 Sep 2020
Evaluating and Mitigating Bias in Image Classifiers: A Causal
  Perspective Using Counterfactuals
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
Saloni Dash
V. Balasubramanian
Amit Sharma
CML
76
70
0
17 Sep 2020
TadGAN: Time Series Anomaly Detection Using Generative Adversarial
  Networks
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks
Alexander Geiger
Dongyu Liu
Sarah Alnegheimish
Alfredo Cuesta-Infante
K. Veeramachaneni
AI4TS
81
210
0
16 Sep 2020
Inverse mapping of face GANs
Inverse mapping of face GANs
N. Bayat
Vahid Reza Khazaie
Y. Mohsenzadeh
GANCVBM
47
5
0
11 Sep 2020
Adversarial score matching and improved sampling for image generation
Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau
Remi Piche-Taillefer
Rémi Tachet des Combes
Ioannis Mitliagkas
DiffM
89
126
0
11 Sep 2020
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow
Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow
Yuchao Gu
Le Zhang
Yun-Hai Liu
Shao-Ping Lu
Ming-Ming Cheng
142
6
0
01 Sep 2020
Relational Data Synthesis using Generative Adversarial Networks: A
  Design Space Exploration
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration
Ju Fan
Tongyu Liu
Guoliang Li
Junyou Chen
Yuwei Shen
Xiaoyong Du
58
61
0
28 Aug 2020
MPCC: Matching Priors and Conditionals for Clustering
MPCC: Matching Priors and Conditionals for Clustering
N. Astorga
P. Huijse
P. Protopapas
P. Estévez
23
2
0
21 Aug 2020
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