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Importance Weighted Autoencoders

International Conference on Learning Representations (ICLR), 2015

1 September 2015

Papers citing "Importance Weighted Autoencoders"

50 / 815 papers shown

Title
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels M. Willetts Stephen J. Roberts Christopher C Holmes 135 5 0 24 Jan 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 260 192 0 17 Jan 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 206 285 0 16 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Jianlong Wu P. Perdikaris SyDa BDL AI4CE 104 62 0 15 Jan 2019
Undirected Graphical Models as Approximate Posteriors Arash Vahdat Evgeny Andriyash W. Macready 174 2 0 11 Jan 2019
Dirichlet Variational Autoencoder Weonyoung Joo Wonsung Lee Sungrae Park Il-Chul Moon BDL DRL 183 113 0 09 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 145 40 0 06 Jan 2019
Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler Duo Xu 138 2 0 03 Jan 2019
Fast Approximate Geodesics for Deep Generative Models Nutan Chen Francesco Ferroni Alexej Klushyn A. Paraschos Justin Bayer Patrick van der Smagt DRL 166 31 0 19 Dec 2018
A Factorial Mixture Prior for Compositional Deep Generative Models Ulrich Paquet Sumedh Ghaisas O. Tieleman CoGe 132 1 0 18 Dec 2018
A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression J. Jaskari Jyri J. Kivinen BDL DRL 118 6 0 18 Dec 2018
Sparsity in Variational Autoencoders Andrea Asperti BDL DRL 157 12 0 18 Dec 2018
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 214 44 0 17 Dec 2018
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 409 504 0 08 Dec 2018
Back to square one: probabilistic trajectory forecasting without bells and whistles Ehsan Pajouheshgar Christoph H. Lampert 73 9 0 07 Dec 2018
Embedding-reparameterization procedure for manifold-valued latent variables in generative models Eugene Golikov M. Kretov DRL 93 0 0 06 Dec 2018
$β$ -VAEs can retain label information even at high compression Emily Fertig Aryan Arbabi Alexander A. Alemi 98 6 0 06 Dec 2018
MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Pierre-Alexandre Mattei J. Frellsen SyDa 126 48 0 06 Dec 2018
Neural Joint Source-Channel Coding Kristy Choi Kedar Tatwawadi Aditya Grover Tsachy Weissman Stefano Ermon 210 40 0 19 Nov 2018
Deep KnockoffsJournal of the American Statistical Association (JASA), 2018 Yaniv Romano Matteo Sesia Emmanuel J. Candès BDL 206 155 0 16 Nov 2018
Multi-Source Neural Variational Inference Richard Kurle Stephan Günnemann Patrick van der Smagt BDL SSL DRL 175 27 0 11 Nov 2018
Bayesian variational inference for exponential random graph models Linda S. L. Tan Nial Friel 246 20 0 10 Nov 2018
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 134 1 0 31 Oct 2018
Semi-unsupervised Learning of Human Activity using Deep Generative Models M. Willetts Aiden Doherty Stephen J. Roberts Chris Holmes 116 3 0 29 Oct 2018
Variational Inference with Tail-adaptive f-Divergence Dilin Wang Hao Liu Qiang Liu 201 56 0 29 Oct 2018
The Variational Deficiency Bottleneck P. Banerjee Guido Montúfar 259 7 0 27 Oct 2018
Resampled Priors for Variational Autoencoders Matthias Bauer A. Mnih BDL DRL 184 118 0 26 Oct 2018
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates V. Upadhya P. Sastry 165 2 0 25 Oct 2018
The Deep Weight Prior Andrei Atanov Arsenii Ashukha Kirill Struminsky Dmitry Vetrov Max Welling BDL 189 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 139 15 0 16 Oct 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives George Tucker Dieterich Lawson S. Gu Chris J. Maddison BDL 197 110 0 09 Oct 2018
Doubly Semi-Implicit Variational Inference Dmitry Molchanov V. Kharitonov Artem Sobolev Dmitry Vetrov BDL 228 40 0 05 Oct 2018
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference Mike Wu Noah D. Goodman Stefano Ermon BDL DRL 186 15 0 05 Oct 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 199 191 0 01 Oct 2018
An Introduction to Probabilistic Programming Jan-Willem van de Meent Brooks Paige Hongseok Yang Frank Wood GP 228 212 0 27 Sep 2018
NEXUS Network: Connecting the Preceding and the Following in Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2018 Hui Su Xiaoyu Shen Wenjie Li Dietrich Klakow 195 30 0 27 Sep 2018
Implicit Maximum Likelihood Estimation Ke Li Jitendra Malik 127 100 0 24 Sep 2018
InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics Young-Jin Park Han-Lim Choi 73 0 0 19 Sep 2018
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 194 67 0 14 Sep 2018
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders Tengfei Ma Jie Chen Cao Xiao 276 219 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 78 9 0 07 Sep 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron Courville DRL 182 49 0 06 Sep 2018
Importance Weighting and Variational Inference Justin Domke Daniel Sheldon 235 109 0 27 Aug 2018
A Fourier View of REINFORCE Adeel Pervez 94 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 125 17 0 06 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 225 15 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 157 78 0 27 Jul 2018
On the Information Theoretic Distance Measures and Bidirectional Helmholtz Machines Mahdi Azarafrooz Xuan Zhao Sepehr Akhavan Masouleh 60 0 0 16 Jul 2018
Deep Generative Model using Unregularized Score for Anomaly Detection with Heterogeneous ComplexityIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2018 Takashi Matsubara Kenta Hama Ryosuke Tachibana K. Uehara 196 32 0 16 Jul 2018
Avoiding Latent Variable Collapse With Generative Skip Models Adji Bousso Dieng Yoon Kim Alexander M. Rush David M. Blei DRL 188 183 0 12 Jul 2018