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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
RFNet-4D++: Joint Object Reconstruction and Flow Estimation from 4D
  Point Clouds with Cross-Attention Spatio-Temporal Features
RFNet-4D++: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds with Cross-Attention Spatio-Temporal Features
Tuan-Anh Vu
D. Nguyen
Binh-Son Hua
Quang Pham
Sai-Kit Yeung
3DPC
85
4
0
30 Mar 2022
TransductGAN: a Transductive Adversarial Model for Novelty Detection
TransductGAN: a Transductive Adversarial Model for Novelty Detection
Najiba Toron
J. Mourão-Miranda
John Shawe-Taylor
47
1
0
29 Mar 2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
Feng Wang
Huiyu Wang
Chen Wei
Alan Yuille
Wei Shen
SSLVLM
110
35
0
22 Mar 2022
GATSBI: Generative Adversarial Training for Simulation-Based Inference
GATSBI: Generative Adversarial Training for Simulation-Based Inference
Poornima Ramesh
Jan-Matthis Lueckmann
Jan Boelts
Álvaro Tejero-Cantero
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
GAN
83
37
0
12 Mar 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep
  Classifiers
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers
Dominik Zietlow
Michael Lohaus
Guha Balakrishnan
Matthäus Kleindessner
Francesco Locatello
Bernhard Schölkopf
Chris Russell
FaML
92
75
0
09 Mar 2022
FlexIT: Towards Flexible Semantic Image Translation
FlexIT: Towards Flexible Semantic Image Translation
Guillaume Couairon
Asya Grechka
Jakob Verbeek
Holger Schwenk
Matthieu Cord
DiffM
112
38
0
09 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks
Machine Learning in NextG Networks via Generative Adversarial Networks
E. Ayanoglu
Kemal Davaslioglu
Y. Sagduyu
GAN
67
34
0
09 Mar 2022
Debiased Self-Training for Semi-Supervised Learning
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
113
90
0
15 Feb 2022
Training a Bidirectional GAN-based One-Class Classifier for Network
  Intrusion Detection
Training a Bidirectional GAN-based One-Class Classifier for Network Intrusion Detection
Wen Xu
Ju-Seong Jang
Tong Liu
Fariza Sabrina
GAN
44
3
0
02 Feb 2022
Generative Trees: Adversarial and Copycat
Generative Trees: Adversarial and Copycat
Richard Nock
Mathieu Guillame-Bert
88
5
0
26 Jan 2022
Autoencoding Video Latents for Adversarial Video Generation
Autoencoding Video Latents for Adversarial Video Generation
Sai Hemanth Kasaraneni
VGen
62
3
0
18 Jan 2022
Taylor3DNet: Fast 3D Shape Inference With Landmark Points Based Taylor
  Series
Taylor3DNet: Fast 3D Shape Inference With Landmark Points Based Taylor Series
Yuting Xiao
Jiale Xu
Shenghua Gao
3DV
55
0
0
18 Jan 2022
Deep clustering with fusion autoencoder
Deep clustering with fusion autoencoder
Shuai Chang
DRL
21
0
0
11 Jan 2022
Enhancing Low-Light Images in Real World via Cross-Image Disentanglement
Enhancing Low-Light Images in Real World via Cross-Image Disentanglement
Lanqing Guo
Renjie Wan
Wenhan Yang
Alex C. Kot
Bihan Wen
72
6
0
10 Jan 2022
Improved Input Reprogramming for GAN Conditioning
Improved Input Reprogramming for GAN Conditioning
Tuan Dinh
Daewon Seo
Zhixu Du
Liang Shang
Kangwook Lee
AI4CE
103
8
0
07 Jan 2022
GenLabel: Mixup Relabeling using Generative Models
GenLabel: Mixup Relabeling using Generative Models
Jy-yong Sohn
Liang Shang
Hongxu Chen
Jaekyun Moon
Dimitris Papailiopoulos
Kangwook Lee
VLM
93
15
0
07 Jan 2022
on the effectiveness of generative adversarial network on anomaly
  detection
on the effectiveness of generative adversarial network on anomaly detection
Laya Rafiee
T. Fevens
55
5
0
31 Dec 2021
Multimodal Image Synthesis and Editing: The Generative AI Era
Multimodal Image Synthesis and Editing: The Generative AI Era
Fangneng Zhan
Yingchen Yu
Rongliang Wu
Jiahui Zhang
Shijian Lu
Lingjie Liu
Adam Kortylewski
Christian Theobalt
Eric Xing
EGVM
198
51
0
27 Dec 2021
Multimodal Adversarially Learned Inference with Factorized
  Discriminators
Multimodal Adversarially Learned Inference with Factorized Discriminators
Wenxue Chen
Jianke Zhu
78
3
0
20 Dec 2021
Generation of data on discontinuous manifolds via continuous stochastic
  non-invertible networks
Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks
M. Drozdova
Vitaliy Kinakh
Guillaume Quétant
T. Golling
Svyatoslav Voloshynovskiy
SyDaDRL
12
0
0
17 Dec 2021
GAN-Supervised Dense Visual Alignment
GAN-Supervised Dense Visual Alignment
William S. Peebles
Jun-Yan Zhu
Richard Y. Zhang
Antonio Torralba
Alexei A. Efros
Eli Shechtman
103
67
0
09 Dec 2021
InvGAN: Invertible GANs
InvGAN: Invertible GANs
Partha Ghosh
Dominik Zietlow
Michael J. Black
Larry S. Davis
Xiaochen Hu
DiffM
78
7
0
08 Dec 2021
Joint Learning of Localized Representations from Medical Images and
  Reports
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
210
87
0
06 Dec 2021
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
Sara Atito
Muhammad Awais
Ammarah Farooq
Zhenhua Feng
J. Kittler
56
17
0
30 Nov 2021
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds
  using Needle Dropping
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping
Alexandre Boulch
Pierre-Alain Langlois
Gilles Puy
Renaud Marlet
3DPCSSL
111
20
0
30 Nov 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial
  and Survey
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
GAN
108
12
0
26 Nov 2021
Semantic-Aware Generation for Self-Supervised Visual Representation
  Learning
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
Yunjie Tian
Lingxi Xie
Xiaopeng Zhang
Jiemin Fang
Haohang Xu
Wei Huang
Jianbin Jiao
Qi Tian
QiXiang Ye
SSLGAN
74
16
0
25 Nov 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai
Shengbang Tong
Mingyang Li
Ziyang Wu
Michael Psenka
...
Pengyuan Zhai
Yaodong Yu
Xiaojun Yuan
Harry Shum
Yi-An Ma
106
30
0
12 Nov 2021
NeurInt : Learning to Interpolate through Neural ODEs
NeurInt : Learning to Interpolate through Neural ODEs
Avinandan Bose
Aniket Das
Yatin Dandi
P. Rai
DiffMDRL
55
0
0
07 Nov 2021
EditGAN: High-Precision Semantic Image Editing
EditGAN: High-Precision Semantic Image Editing
Huan Ling
Karsten Kreis
Daiqing Li
Seung Wook Kim
Antonio Torralba
Sanja Fidler
DiffMGAN
70
204
0
04 Nov 2021
Variational Inference with Holder Bounds
Variational Inference with Holder Bounds
Junya Chen
Danni Lu
Zidi Xiu
Ke Bai
Lawrence Carin
Chenyang Tao
54
6
0
04 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
98
115
0
01 Nov 2021
Probabilistic Autoencoder using Fisher Information
Probabilistic Autoencoder using Fisher Information
J. Zacherl
Philipp Frank
T. Ensslin
EgoVAI4CE
52
2
0
28 Oct 2021
Non-Asymptotic Error Bounds for Bidirectional GANs
Non-Asymptotic Error Bounds for Bidirectional GANs
Shiao Liu
Yunfei Yang
Jian Huang
Yuling Jiao
Yang Wang
62
7
0
24 Oct 2021
Signature-Graph Networks
Signature-Graph Networks
Ali Hamdi
Flora D. Salim
D. Kim
Xiaojun Chang
53
1
0
22 Oct 2021
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image
  Translation
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation
Wenju Xu
Guanghui Wang
81
14
0
21 Oct 2021
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent
  Space Distribution Matching in WAE
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE
Devansh Arpit
Aadyot Bhatnagar
Huan Wang
Caiming Xiong
47
0
0
19 Oct 2021
Continuation of Famous Art with AI: A Conditional Adversarial Network
  Inpainting Approach
Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach
Jordan J. Bird
GAN
33
0
0
18 Oct 2021
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
Ligong Han
S. Musunuri
Martin Renqiang Min
Ruijiang Gao
Yu Tian
Dimitris N. Metaxas
DRL
64
14
0
17 Oct 2021
Adversarial examples by perturbing high-level features in intermediate
  decoder layers
Adversarial examples by perturbing high-level features in intermediate decoder layers
Vojtěch Čermák
Lukáš Adam
AAMLGAN
37
0
0
14 Oct 2021
Guided-GAN: Adversarial Representation Learning for Activity Recognition
  with Wearables
Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables
Alireza Abedin
Hamid Rezatofighi
Damith C. Ranasinghe
GAN
60
5
0
12 Oct 2021
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach
Alexander Khazatsky
Sergey Levine
Ruslan Salakhutdinov
OffRL
259
46
0
06 Oct 2021
IGAN: Inferent and Generative Adversarial Networks
IGAN: Inferent and Generative Adversarial Networks
L. Vignaud
GAN
44
1
0
27 Sep 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
128
188
0
17 Sep 2021
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium
  Segmentation on Cross-Domain Data
Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data
Jun Chen
Heye Zhang
R. Mohiaddin
Tom Wong
D. Firmin
J. Keegan
Guang Yang
94
37
0
17 Sep 2021
Inferential Wasserstein Generative Adversarial Networks
Inferential Wasserstein Generative Adversarial Networks
Yao Chen
Qingyi Gao
Xiao Wang
GAN
186
23
0
13 Sep 2021
NEAT: Neural Attention Fields for End-to-End Autonomous Driving
NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Kashyap Chitta
Aditya Prakash
Andreas Geiger
3DPC
137
215
0
09 Sep 2021
Learning cortical representations through perturbed and adversarial
  dreaming
Learning cortical representations through perturbed and adversarial dreaming
Nicolas Deperrois
Mihai A. Petrovici
Walter Senn
Jakob Jordan
GANCLL
91
21
0
09 Sep 2021
Adversarial Stein Training for Graph Energy Models
Adversarial Stein Training for Graph Energy Models
Shiv Shankar
BDL
46
0
0
30 Aug 2021
Learning Disentangled Representations in the Imaging Domain
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OODDRL
196
72
0
26 Aug 2021
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