Importance Weighted Autoencoders

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 793 papers shown

Title
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors P. Gyawali Cameron Knight S. Ghimire B. Horácek J. Sapp Linwei Wang BDL DRL 24 1 0 31 Oct 2018
Semi-unsupervised Learning of Human Activity using Deep Generative Models M. Willetts Aiden Doherty Stephen J. Roberts Chris Holmes 12 3 0 29 Oct 2018
Variational Inference with Tail-adaptive f-Divergence Dilin Wang Hao Liu Qiang Liu 27 55 0 29 Oct 2018
The Variational Deficiency Bottleneck P. Banerjee Guido Montúfar 15 7 0 27 Oct 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 22 110 0 26 Oct 2018
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates V. Upadhya P. Sastry 21 2 0 25 Oct 2018
The Deep Weight Prior Andrei Atanov Arsenii Ashukha Kirill Struminsky Dmitry Vetrov Max Welling BDL 16 37 0 16 Oct 2018
The LORACs prior for VAEs: Letting the Trees Speak for the Data Sharad Vikram Matthew D. Hoffman Matthew J. Johnson CML BDL 29 15 0 16 Oct 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives George Tucker Dieterich Lawson S. Gu Chris J. Maddison BDL 19 110 0 09 Oct 2018
Doubly Semi-Implicit Variational Inference Dmitry Molchanov V. Kharitonov Artem Sobolev Dmitry Vetrov BDL 24 38 0 05 Oct 2018
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference Mike Wu Noah D. Goodman Stefano Ermon BDL DRL 31 13 0 05 Oct 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 23 182 0 01 Oct 2018
An Introduction to Probabilistic Programming Jan-Willem van de Meent Brooks Paige Hongseok Yang Frank Wood GP 30 196 0 27 Sep 2018
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation Hui Su Xiaoyu Shen Wenjie Li Dietrich Klakow 39 30 0 27 Sep 2018
Implicit Maximum Likelihood Estimation Ke Li Jitendra Malik 21 96 0 24 Sep 2018
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics Young-Jin Park Han-Lim Choi 9 0 0 19 Sep 2018
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 34 61 0 14 Sep 2018
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders Tengfei Ma Jie Chen Cao Xiao 25 206 0 07 Sep 2018
VOS: a Method for Variational Oversampling of Imbalanced Data V. Fajardo David Findlay Roshanak Houmanfar Charu Jaiswal Jiaxi Liang Honglei Xie 13 8 0 07 Sep 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron Courville DRL 25 47 0 06 Sep 2018
Importance Weighting and Variational Inference Justin Domke Daniel Sheldon 15 107 0 27 Aug 2018
A Fourier View of REINFORCE Adeel Pervez 24 0 0 12 Aug 2018
Active Learning based on Data Uncertainty and Model Sensitivity Nutan Chen Alexej Klushyn A. Paraschos Djalel Benbouzid Patrick van der Smagt 21 17 0 06 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 31 16 0 05 Aug 2018
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data Changde Du Changying Du Hao Wang Jinpeng Li Wei-Long Zheng Bao-Liang Lu Huiguang He 14 66 0 27 Jul 2018
On the Information Theoretic Distance Measures and Bidirectional Helmholtz Machines Mahdi Azarafrooz Xuan Zhao Sepehr Akhavan Masouleh 11 0 0 16 Jul 2018
Deep Generative Model using Unregularized Score for Anomaly Detection with Heterogeneous Complexity Takashi Matsubara Kenta Hama Ryosuke Tachibana K. Uehara 26 29 0 16 Jul 2018
Avoiding Latent Variable Collapse With Generative Skip Models Adji Bousso Dieng Yoon Kim Alexander M. Rush David M. Blei DRL 27 172 0 12 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 39 116 0 12 Jul 2018
Latent Alignment and Variational Attention Yuntian Deng Yoon Kim Justin T. Chiu Demi Guo Alexander M. Rush BDL 18 110 0 10 Jul 2018
Understanding VAEs in Fisher-Shannon Plane Huangjie Zheng Jiangchao Yao Ya Zhang Ivor W. Tsang Jia Wang 17 12 0 10 Jul 2018
Handling Incomplete Heterogeneous Data using VAEs A. Nazábal Pablo Martínez Olmos Zoubin Ghahramani Isabel Valera 24 344 0 10 Jul 2018
Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical Systems Jung-Su Ha Young-Jin Park Hyeok-Joo Chae Soon-Seo Park Han-Lim Choi BDL 17 26 0 05 Jul 2018
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds Septimia Sârbu Riccardo Volpi Alexandra Peste Luigi Malagò DRL 11 0 0 05 Jul 2018
Quasi-Monte Carlo Variational Inference Alexander K. Buchholz F. Wenzel Stephan Mandt BDL 30 58 0 04 Jul 2018
Anomaly Detection for Skin Disease Images Using Variational Autoencoder Yuchen Lu Peng Xu DRL 24 73 0 03 Jul 2018
Tensor Monte Carlo: particle methods for the GPU era Laurence Aitchison BDL DRL 27 13 0 22 Jun 2018
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective Apratim Bhattacharyya Bernt Schiele Mario Fritz 28 113 0 20 Jun 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging Xiaoran Chen Nick Pawlowski Martin Rajchl Ben Glocker E. Konukoglu OOD MedIm 22 49 0 14 Jun 2018
Deep State Space Models for Unconditional Word Generation Florian Schmidt Thomas Hofmann 25 14 0 12 Jun 2018
Deep Variational Reinforcement Learning for POMDPs Maximilian Igl L. Zintgraf T. Le Frank Wood Shimon Whiteson BDL OffRL 21 259 0 06 Jun 2018
Variational Autoencoder with Arbitrary Conditioning Oleg Ivanov Michael Figurnov Dmitry Vetrov BDL DRL 19 146 0 06 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects Adam R. Kosiorek Hyunjik Kim Ingmar Posner Yee Whye Teh BDL 29 256 0 05 Jun 2018
Hamiltonian Variational Auto-Encoder Anthony L. Caterini Arnaud Doucet Dino Sejdinovic BDL DRL 19 95 0 29 May 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 35 121 0 28 May 2018
Flexible and accurate inference and learning for deep generative models Eszter Vértes M. Sahani SyDa BDL 13 44 0 28 May 2018
Discrete flow posteriors for variational inference in discrete dynamical systems Laurence Aitchison Vincent Adam Srinivas C. Turaga BDL DRL 29 4 0 28 May 2018
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow T. Le Adam R. Kosiorek N. Siddharth Yee Whye Teh Frank Wood BDL 19 23 0 26 May 2018
Ergodic Inference: Accelerate Convergence by Optimisation Yichuan Zhang José Miguel Hernández-Lobato BDL 19 9 0 25 May 2018
Performing Co-Membership Attacks Against Deep Generative Models Kin Sum Liu Chaowei Xiao Bo-wen Li Jie Gao AAML MIACV 24 58 0 24 May 2018