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Adversarially Learned Inference

2 June 2016

Aaron Courville

Papers citing "Adversarially Learned Inference"

50 / 749 papers shown

Title
Active Image Synthesis for Efficient Labeling Jialei Chen Yujia Xie Kan Wang Chuck Zhang M. Vannan Ben Wang Z. Qian MedIm 75 11 0 05 Feb 2019
Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds Hisham Husain Richard Nock Robert C. Williamson GAN DRL 49 3 0 03 Feb 2019
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System Joseph Paul Cohen Paul Bertin Vincent Frappier OOD MedIm 83 68 0 31 Jan 2019
Deconstructing Generative Adversarial Networks Banghua Zhu Jiantao Jiao David Tse 89 50 0 27 Jan 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection S. Akçay Amir Atapour-Abarghouei T. Breckon UQCV 121 381 0 25 Jan 2019
Multi-objective training of Generative Adversarial Networks with multiple discriminators Isabela Albuquerque João Monteiro T. Doan Breandan Considine T. Falk Ioannis Mitliagkas 103 67 0 24 Jan 2019
Learning Disentangled Representations with Reference-Based Variational Autoencoders Adria Ruiz Oriol Martínez Xavier Binefa Jakob Verbeek OOD CoGe DRL 51 27 0 24 Jan 2019
Maximum Entropy Generators for Energy-Based Models Rithesh Kumar Sherjil Ozair Anirudh Goyal Aaron Courville Yoshua Bengio 58 113 0 24 Jan 2019
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 128 38 0 24 Jan 2019
To Relieve Your Headache of Training an MRF, Take AdVIL Chongxuan Li Chao Du Kun Xu Max Welling Jun Zhu Bo Zhang 52 9 0 24 Jan 2019
Generating and Aligning from Data Geometries with Generative Adversarial Networks Matthew Amodio Smita Krishnaswamy GAN 23 0 0 24 Jan 2019
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data Liheng Zhang Guo-Jun Qi Liqiang Wang Jiebo Luo 64 204 0 14 Jan 2019
Variation Network: Learning High-level Attributes for Controlled Input Manipulation Gaëtan Hadjeres Frank Nielsen 55 2 0 11 Jan 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery Ryan Webster Julien Rabin Loïc Simon F. Jurie GAN 84 99 0 09 Jan 2019
Adaptive Density Estimation for Generative Models Thomas Lucas K. Shmelkov Alahari Karteek Cordelia Schmid Jakob Verbeek GAN DRL 106 32 0 04 Jan 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 90 289 0 04 Jan 2019
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model Tian Han Erik Nijkamp Xiaolin Fang Mitch Hill Song-Chun Zhu Ying Nian Wu 87 68 0 28 Dec 2018
Latent Variable Modeling for Generative Concept Representations and Deep Generative Models Daniel T. Chang DRL BDL 26 4 0 26 Dec 2018
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 85 48 0 22 Dec 2018
An Empirical Study of Generative Models with Encoders Paul Kishan Rubenstein Yunpeng Li Dominik Roblek GAN 32 1 0 19 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 95 447 0 12 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 895 10,632 0 12 Dec 2018
Occupancy Networks: Learning 3D Reconstruction in Function Space L. Mescheder Michael Oechsle Michael Niemeyer Sebastian Nowozin Andreas Geiger 3DV 258 2,915 0 10 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 209 824 0 06 Dec 2018
Traversing Latent Space using Decision Ferns Yan Zuo Gil Avraham Tom Drummond 32 4 0 06 Dec 2018
Adversarially Learned Anomaly Detection Houssam Zenati Manon Romain Chuan-Sheng Foo Bruno Lecouat V. Chandrasekhar GAN 74 405 0 06 Dec 2018
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection Eric Tzeng Kaylee Burns Kate Saenko Trevor Darrell ObjD 83 16 0 03 Dec 2018
GDPP: Learning Diverse Generations Using Determinantal Point Process Mohamed Elfeki Camille Couprie M. Rivière Mohamed Elhoseiny 125 65 0 30 Nov 2018
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE Ke Li Tianhao Zhang Jitendra Malik DiffM 251 88 0 29 Nov 2018
Semi-supervised learning with Bidirectional GANs M. Zamorski Maciej Ziȩba SSL GAN 40 2 0 28 Nov 2018
Metropolis-Hastings Generative Adversarial Networks Ryan D. Turner Jane Hung Eric Frank Yunus Saatci J. Yosinski GAN 111 99 0 28 Nov 2018
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks David Bau Jun-Yan Zhu Hendrik Strobelt Bolei Zhou J. Tenenbaum William T. Freeman Antonio Torralba GAN 29 0 0 26 Nov 2018
Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning Changhee Lee Nicholas Mastronarde M. Schaar FedML CML 63 18 0 21 Nov 2018
ChainGAN: A sequential approach to GANs Safwan Hossain Kiarash Jamali Yuchen Li Frank Rudzicz GAN 40 1 0 20 Nov 2018
Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures Hongyang R. Zhang Susu Xu Jiantao Jiao P. Xie Ruslan Salakhutdinov Eric Xing 71 23 0 19 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies Dibya Ghosh Abhishek Gupta Sergey Levine 102 110 0 19 Nov 2018
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint Jianlin Su GAN 35 25 0 18 Nov 2018
Style and Content Disentanglement in Generative Adversarial Networks Hadi Kazemi Seyed Mehdi Iranmanesh Nasser M. Nasrabadi GAN DRL 72 69 0 14 Nov 2018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yibo Yang P. Perdikaris AI4CE PINN 159 361 0 09 Nov 2018
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence Athanasios Davvetas I. Klampanos V. Karkaletsis 57 5 0 09 Nov 2018
Neural Stain Normalization and Unsupervised Classification of Cell Nuclei in Histopathological Breast Cancer Images Chao Yu Junkyo Suh MedIm 29 14 0 09 Nov 2018
Mode matching in GANs through latent space learning and inversion Chao Weng AP Prathosh Dong Yu Varun Srivastava S. Chaudhury GAN 62 2 0 08 Nov 2018
Neural Image Compression for Gigapixel Histopathology Image Analysis David Tellez G. Litjens Jeroen van der Laak F. Ciompi 76 209 0 07 Nov 2018
Improving GAN with neighbors embedding and gradient matching Ngoc-Trung Tran Tuan-Anh Bui Ngai-Man Cheung GAN 68 16 0 04 Nov 2018
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model Yujia Wang Nhat Ho David J. Miller Anima Anandkumar Michael I. Jordan Richard G. Baraniuk BDL GAN 96 8 0 01 Nov 2018
Mixture Density Generative Adversarial Networks Hamid Eghbalzadeh Werner Zellinger Gerhard Widmer GAN 87 39 0 31 Oct 2018
Generating new pictures in complex datasets with a simple neural network Galin Georgiev GAN BDL DRL 16 0 0 30 Oct 2018
Investigating Object Compositionality in Generative Adversarial Networks Sjoerd van Steenkiste Karol Kurach Jürgen Schmidhuber Sylvain Gelly GAN OCL 98 20 0 17 Oct 2018
Discriminator Rejection Sampling S. Azadi Catherine Olsson Trevor Darrell Ian Goodfellow Augustus Odena 77 131 0 16 Oct 2018
Point Cloud GAN Chun-Liang Li Manzil Zaheer Yang Zhang Barnabás Póczós Ruslan Salakhutdinov 3DPC 97 212 0 13 Oct 2018