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1606.00704
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Adversarially Learned Inference
2 June 2016
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
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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
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Quang Pham
Sai-Kit Yeung
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0
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TransductGAN: a Transductive Adversarial Model for Novelty Detection
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John Shawe-Taylor
47
1
0
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CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
Feng Wang
Huiyu Wang
Chen Wei
Alan Yuille
Wei Shen
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110
35
0
22 Mar 2022
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
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
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
E. Ayanoglu
Kemal Davaslioglu
Y. Sagduyu
GAN
67
34
0
09 Mar 2022
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
Wen Xu
Ju-Seong Jang
Tong Liu
Fariza Sabrina
GAN
44
3
0
02 Feb 2022
Generative Trees: Adversarial and Copycat
Richard Nock
Mathieu Guillame-Bert
88
5
0
26 Jan 2022
Autoencoding Video Latents for Adversarial Video Generation
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62
3
0
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Taylor3DNet: Fast 3D Shape Inference With Landmark Points Based Taylor Series
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Jiale Xu
Shenghua Gao
3DV
55
0
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18 Jan 2022
Deep clustering with fusion autoencoder
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Renjie Wan
Wenhan Yang
Alex C. Kot
Bihan Wen
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Daewon Seo
Zhixu Du
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103
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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
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T. Fevens
55
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0
31 Dec 2021
Multimodal Image Synthesis and Editing: The Generative AI Era
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Yingchen Yu
Rongliang Wu
Jiahui Zhang
Shijian Lu
Lingjie Liu
Adam Kortylewski
Christian Theobalt
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EGVM
198
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0
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Multimodal Adversarially Learned Inference with Factorized Discriminators
Wenxue Chen
Jianke Zhu
78
3
0
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Generation of data on discontinuous manifolds via continuous stochastic non-invertible networks
M. Drozdova
Vitaliy Kinakh
Guillaume Quétant
T. Golling
Svyatoslav Voloshynovskiy
SyDa
DRL
8
0
0
17 Dec 2021
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
Partha Ghosh
Dominik Zietlow
Michael J. Black
Larry S. Davis
Xiaochen Hu
DiffM
78
7
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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
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
Alexandre Boulch
Pierre-Alain Langlois
Gilles Puy
Renaud Marlet
3DPC
SSL
111
20
0
30 Nov 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
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GAN
108
12
0
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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
SSL
GAN
74
16
0
25 Nov 2021
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
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Avinandan Bose
Aniket Das
Yatin Dandi
P. Rai
DiffM
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55
0
0
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EditGAN: High-Precision Semantic Image Editing
Huan Ling
Karsten Kreis
Daiqing Li
Seung Wook Kim
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Sanja Fidler
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70
203
0
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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
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
98
115
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01 Nov 2021
Probabilistic Autoencoder using Fisher Information
J. Zacherl
Philipp Frank
T. Ensslin
EgoV
AI4CE
52
2
0
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Non-Asymptotic Error Bounds for Bidirectional GANs
Shiao Liu
Yunfei Yang
Jian Huang
Yuling Jiao
Yang Wang
62
7
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Signature-Graph Networks
Ali Hamdi
Flora D. Salim
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Xiaojun Chang
53
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A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation
Wenju Xu
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81
14
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Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE
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Caiming Xiong
47
0
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Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach
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GAN
33
0
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AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
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S. Musunuri
Martin Renqiang Min
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Yu Tian
Dimitris N. Metaxas
DRL
64
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0
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Adversarial examples by perturbing high-level features in intermediate decoder layers
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Lukáš Adam
AAML
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0
0
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Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables
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Hamid Rezatofighi
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GAN
60
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Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach
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259
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IGAN: Inferent and Generative Adversarial Networks
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44
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Self-supervised learning methods and applications in medical imaging analysis: A survey
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128
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Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data
Jun Chen
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R. Mohiaddin
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J. Keegan
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94
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Inferential Wasserstein Generative Adversarial Networks
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Qingyi Gao
Xiao Wang
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186
23
0
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NEAT: Neural Attention Fields for End-to-End Autonomous Driving
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Aditya Prakash
Andreas Geiger
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137
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Learning cortical representations through perturbed and adversarial dreaming
Nicolas Deperrois
Mihai A. Petrovici
Walter Senn
Jakob Jordan
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91
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Adversarial Stein Training for Graph Energy Models
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Learning Disentangled Representations in the Imaging Domain
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Pedro Sanchez
Spyridon Thermos
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196
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