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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
Learning from Irregularly-Sampled Time Series: A Missing Data
  Perspective
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
Steven Cheng-Xian Li
Benjamin M. Marlin
AI4TS
55
56
0
17 Aug 2020
Improving Stability of LS-GANs for Audio and Speech Signals
Improving Stability of LS-GANs for Audio and Speech Signals
Mohammad Esmaeilpour
Raymel Alfonso Sallo
Olivier St-Georges
P. Cardinal
Alessandro Lameiras Koerich
23
0
0
12 Aug 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
91
0
0
08 Aug 2020
IntroVAC: Introspective Variational Classifiers for Learning
  Interpretable Latent Subspaces
IntroVAC: Introspective Variational Classifiers for Learning Interpretable Latent Subspaces
Marco Maggipinto
M. Terzi
Gian Antonio Susto
30
1
0
03 Aug 2020
Geometrically Enriched Latent Spaces
Geometrically Enriched Latent Spaces
Georgios Arvanitidis
Søren Hauberg
Bernhard Schölkopf
DRL
77
55
0
02 Aug 2020
flexgrid2vec: Learning Efficient Visual Representations Vectors
flexgrid2vec: Learning Efficient Visual Representations Vectors
Ali Hamdi
D. Kim
Flora D. Salim
SSLGNN
90
7
0
30 Jul 2020
TrajGAIL: Generating Urban Vehicle Trajectories using Generative
  Adversarial Imitation Learning
TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learning
Seongjin Choi
Jiwon Kim
H. Yeo
GAN
95
131
0
28 Jul 2020
Generative networks as inverse problems with fractional wavelet
  scattering networks
Generative networks as inverse problems with fractional wavelet scattering networks
Jiasong Wu
Jing Zhang
Fuzhi Wu
Youyong Kong
Guanyu Yang
L. Senhadji
H. Shu
GAN
47
1
0
28 Jul 2020
Improving Generative Adversarial Networks with Local Coordinate Coding
Improving Generative Adversarial Networks with Local Coordinate Coding
Jingyun Liang
Yong Guo
Qingyao Wu
Chunhua Shen
Junzhou Huang
Mingkui Tan
GAN
126
12
0
28 Jul 2020
Monocular Real-Time Volumetric Performance Capture
Monocular Real-Time Volumetric Performance Capture
Ruilong Li
Yuliang Xiu
Shunsuke Saito
Zeng Huang
Kyle Olszewski
Hao Li
3DH
159
93
0
28 Jul 2020
Representation Learning with Video Deep InfoMax
Representation Learning with Video Deep InfoMax
R. Devon Hjelm
Philip Bachman
SSLMDE
107
28
0
27 Jul 2020
Non-parallel Emotion Conversion using a Deep-Generative Hybrid Network
  and an Adversarial Pair Discriminator
Non-parallel Emotion Conversion using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator
Ravi Shankar
Jacob Sager
A. Venkataraman
GAN
111
20
0
25 Jul 2020
Learning Structured Latent Factors from Dependent Data:A Generative
  Model Framework from Information-Theoretic Perspective
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
Ruixiang Zhang
Masanori Koyama
Katsuhiko Ishiguro
CML
58
6
0
21 Jul 2020
Learning latent representations across multiple data domains using
  Lifelong VAEGAN
Learning latent representations across multiple data domains using Lifelong VAEGAN
Fei Ye
A. Bors
SyDaCLL
68
67
0
20 Jul 2020
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings
MIXÉM: Unsupervised Image Classification using a Mixture of Embeddings
Ali Varamesh
Tinne Tuytelaars
VLM
54
4
0
18 Jul 2020
End-to-end Deep Prototype and Exemplar Models for Predicting Human
  Behavior
End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior
Pulkit Singh
Joshua C. Peterson
Ruairidh M. Battleday
Thomas Griffiths
51
18
0
17 Jul 2020
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot
  Learning
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning
Shivam Chandhok
V. Balasubramanian
VLMGAN
39
1
0
15 Jul 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected
  Graphical Models
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
Adarsh K. Jeewajee
L. Kaelbling
BDL
56
1
0
09 Jul 2020
A Benchmark of Medical Out of Distribution Detection
A Benchmark of Medical Out of Distribution Detection
Tianshi Cao
Chinwei Huang
D. Y. Hui
Joseph Paul Cohen
OOD
85
59
0
08 Jul 2020
Consistency Regularization with Generative Adversarial Networks for
  Semi-Supervised Learning
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning
Zexi Chen
B. Ramachandra
Ranga Raju Vatsavai
GAN
57
1
0
08 Jul 2020
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust
  Inference
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference
Andac Demir
T. Koike-Akino
Ye Wang
Deniz Erdogmus
34
0
0
02 Jul 2020
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
Vijay Keswani
Oren Mangoubi
Sushant Sachdeva
Nisheeth K. Vishnoi
77
1
0
22 Jun 2020
Learning to infer in recurrent biological networks
Learning to infer in recurrent biological networks
Ari S. Benjamin
Konrad Paul Kording
SSLDRL
53
1
0
18 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan
Jiahao Xie
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
OOD
121
189
0
18 Jun 2020
MMCGAN: Generative Adversarial Network with Explicit Manifold Prior
MMCGAN: Generative Adversarial Network with Explicit Manifold Prior
Guanhua Zheng
Jitao Sang
Changsheng Xu
GAN
36
1
0
18 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in
  Generative Models
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
Siavash Khodadadeh
Sharare Zehtabian
Saeed Vahidian
Weijia Wang
Bill Lin
Ladislau Bölöni
53
36
0
18 Jun 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference
Hao Zhang
Bo Chen
Yulai Cong
D. Guo
Hongwei Liu
Mingyuan Zhou
BDL
70
28
0
15 Jun 2020
Globally Injective ReLU Networks
Globally Injective ReLU Networks
Michael Puthawala
K. Kothari
Matti Lassas
Ivan Dokmanić
Maarten V. de Hoop
103
28
0
15 Jun 2020
Reciprocal Adversarial Learning via Characteristic Functions
Reciprocal Adversarial Learning via Characteristic Functions
Shengxi Li
Zeyang Yu
Min Xiang
Danilo P. Mandic
GAN
138
13
0
15 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
215
1,648
0
15 Jun 2020
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and
  Fusion
Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion
Yang Wang
123
202
0
15 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
491
6,871
0
13 Jun 2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang
Zhi Xu
SSL
131
414
0
13 Jun 2020
Knowledge Distillation Meets Self-Supervision
Knowledge Distillation Meets Self-Supervision
Guodong Xu
Ziwei Liu
Xiaoxiao Li
Chen Change Loy
FedML
122
286
0
12 Jun 2020
Deep Structural Causal Models for Tractable Counterfactual Inference
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski
Daniel Coelho De Castro
Ben Glocker
CMLMedIm
112
243
0
11 Jun 2020
Low Distortion Block-Resampling with Spatially Stochastic Networks
Low Distortion Block-Resampling with Spatially Stochastic Networks
S. J. Hong
Martín Arjovsky
Darryl Barnhart
Ian Thompson
46
8
0
09 Jun 2020
On Data Augmentation for GAN Training
On Data Augmentation for GAN Training
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Trung-Kien Nguyen
Ngai-Man Cheung
MedIm
61
38
0
09 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSLHAI
131
303
0
09 Jun 2020
Nested Scale Editing for Conditional Image Synthesis
Nested Scale Editing for Conditional Image Synthesis
Lingzhi Zhang
Jiancong Wang
Yinshuang Xu
Jie Min
Tarmily Wen
J. Gee
Jianbo Shi
DiffM
72
3
0
03 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided
  Adversarial Autoencoder
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder
Kazi Nazmul Haque
R. Rana
Björn W Schuller
DRL
100
12
0
01 Jun 2020
Generative Adversarial Networks (GANs): An Overview of Theoretical
  Model, Evaluation Metrics, and Recent Developments
Generative Adversarial Networks (GANs): An Overview of Theoretical Model, Evaluation Metrics, and Recent Developments
Pegah Salehi
A. Chalechale
M. Taghizadeh
EGVM
45
40
0
27 May 2020
InterFaceGAN: Interpreting the Disentangled Face Representation Learned
  by GANs
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Yujun Shen
Ceyuan Yang
Xiaoou Tang
Bolei Zhou
GANCVBM
121
600
0
18 May 2020
Defending Model Inversion and Membership Inference Attacks via
  Prediction Purification
Defending Model Inversion and Membership Inference Attacks via Prediction Purification
Ziqi Yang
Bin Shao
Bohan Xuan
E. Chang
Fan Zhang
AAML
77
71
0
08 May 2020
Effect of The Latent Structure on Clustering with GANs
Effect of The Latent Structure on Clustering with GANs
Deepak Mishra
Aravind Jayendran
Prathosh A. P.
GAN
14
9
0
05 May 2020
Transforming and Projecting Images into Class-conditional Generative
  Networks
Transforming and Projecting Images into Class-conditional Generative Networks
Minyoung Huh
Richard Y. Zhang
Jun-Yan Zhu
S. Paris
Aaron Hertzmann
89
111
0
04 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions,
  and Future Directions
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions
Divya Saxena
Jiannong Cao
AAMLAI4CE
156
307
0
30 Apr 2020
Robustness Certification of Generative Models
Robustness Certification of Generative Models
M. Mirman
Timon Gehr
Martin Vechev
AAML
70
21
0
30 Apr 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Timo Milbich
Karsten Roth
Homanga Bharadhwaj
Samarth Sinha
Yoshua Bengio
Bjorn Ommer
Joseph Paul Cohen
130
67
0
28 Apr 2020
Neural Topic Modeling with Bidirectional Adversarial Training
Neural Topic Modeling with Bidirectional Adversarial Training
Rui Wang
Xuemeng Hu
Deyu Zhou
Yulan He
Yuxuan Xiong
Chencheng Ye
Haiyang Xu
AAMLOODBDL
124
90
0
26 Apr 2020
Extending and Analyzing Self-Supervised Learning Across Domains
Extending and Analyzing Self-Supervised Learning Across Domains
Bram Wallace
B. Hariharan
SSL
43
43
0
24 Apr 2020
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