Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

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Title
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation Cheng-Han Lee Ziwei Liu Lingyun Wu Ping Luo CVBM 52 1,065 0 27 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Cuong C. Nguyen Thanh-Toan Do G. Carneiro OOD BDL UQCV 21 54 0 27 Jul 2019
Learning to design from humans: Imitating human designers through deep learning Ayush Raina Christopher McComb Jonathan Cagan 3DV AI4CE 32 65 0 26 Jul 2019
Unsupervised Domain Adaptation via Calibrating Uncertainties Ligong Han Yang Zou Ruijiang Gao Lezi Wang Dimitris N. Metaxas 23 30 0 25 Jul 2019
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation R. Dorent Samuel Joutard Marc Modat Sébastien Ourselin Tom Kamiel Magda Vercauteren MedIm 33 118 0 25 Jul 2019
Y-Autoencoders: disentangling latent representations via sequential-encoding Massimiliano Patacchiola P. Fox-Roberts E. Rosten OOD DRL 21 13 0 25 Jul 2019
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking Jae Shin Yoon Takaaki Shiratori Shoou-I Yu H. Park CVBM 3DH 28 29 0 25 Jul 2019
Warp and Learn: Novel Views Generation for Vehicles and Other Objects Andrea Palazzi Luca Bergamini Simone Calderara Rita Cucchiara 26 0 0 24 Jul 2019
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning Rahul Kumar Aditya Mandalika Sanjiban Choudhury S. Srinivasa 24 59 0 22 Jul 2019
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods Aditya Mogadala M. Kalimuthu Dietrich Klakow VLM 25 133 0 22 Jul 2019
Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function Stephen G. Odaibo GAN BDL DRL 18 53 0 21 Jul 2019
D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction Divya Saxena Jiannong Cao AI4TS 26 35 0 19 Jul 2019
Predicting Visual Memory Schemas with Variational Autoencoders C. Kyle-Davidson A. Bors K. Evans DRL 25 7 0 19 Jul 2019
Subspace Inference for Bayesian Deep Learning Pavel Izmailov Wesley J. Maddox Polina Kirichenko T. Garipov Dmitry Vetrov A. Wilson UQCV BDL 38 143 0 17 Jul 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders Gabriel Loaiza-Ganem John P. Cunningham DRL 29 83 0 16 Jul 2019
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data Simao Eduardo A. Nazábal Christopher K. I. Williams Charles Sutton DRL 19 32 0 15 Jul 2019
Exploring Deep Anomaly Detection Methods Based on Capsule Net Xiaoyan Li I. Kiringa T. Yeap Xiao-Dan Zhu Yifeng Li UQCV 3DPC 50 20 0 15 Jul 2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners A. H. Qureshi Yinglong Miao Anthony Simeonov Michael C. Yip PINN 3DV 34 212 0 13 Jul 2019
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning Peter Y. Lu Samuel Kim Marin Soljacic AI4CE 22 59 0 13 Jul 2019
The Dynamic Embedded Topic Model Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 23 87 0 12 Jul 2019
Beyond Imitation: Generative and Variational Choreography via Machine Learning M. Pettee C. Shimmin Douglas Duhaime I. Vidrin DRL 21 22 0 11 Jul 2019
GP-VAE: Deep Probabilistic Time Series Imputation Vincent Fortuin Dmitry Baranchuk Gunnar Rätsch Stephan Mandt BDL AI4TS 27 244 0 09 Jul 2019
Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova Ricky T. Q. Chen David Duvenaud BDL AI4TS 31 252 0 08 Jul 2019
Deep Active Inference as Variational Policy Gradients Beren Millidge BDL 32 103 0 08 Jul 2019
Variational Context: Exploiting Visual and Textual Context for Grounding Referring Expressions Yulei Niu Hanwang Zhang Zhiwu Lu Shih-Fu Chang ObjD BDL 36 24 0 08 Jul 2019
Topic Modeling in Embedding Spaces Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 36 621 0 08 Jul 2019
Generating Sentences from Disentangled Syntactic and Semantic Spaces Yu Bao Hao Zhou Shujian Huang Lei Li Lili Mou Olga Vechtomova Xinyu Dai Jiajun Chen DRL 21 107 0 06 Jul 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 69 542 0 04 Jul 2019
Unsupervised Anomaly Localization using Variational Auto-Encoders David Zimmerer Fabian Isensee Jens Petersen Simon A. A. Kohl Klaus Maier-Hein DRL 30 132 0 04 Jul 2019
Interpretable Counterfactual Explanations Guided by Prototypes A. V. Looveren Janis Klaise FAtt 29 380 0 03 Jul 2019
Landmark Assisted CycleGAN for Cartoon Face Generation Ruizheng Wu Xiaodong Gu Xin Tao Xiaoyong Shen Yu-Wing Tai Jiaya Jia GAN CVBM 30 31 0 02 Jul 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 24 51 0 02 Jul 2019
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization Jwala Dhamala S. Ghimire J. Sapp B. Horácek Linwei Wang MedIm 42 12 0 01 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 36 372 0 01 Jul 2019
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks Qi She Anqi Wu BDL 26 34 0 01 Jul 2019
Deep Gamblers: Learning to Abstain with Portfolio Theory Liu Ziyin Zhikang T. Wang Paul Pu Liang Ruslan Salakhutdinov Louis-Philippe Morency Masahito Ueda 26 111 0 29 Jun 2019
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models C. Biffi Juan J. Cerrolaza G. Tarroni Wenjia Bai A. de Marvao ... Jinming Duan S. Prasad S. Cook D. O’Regan Daniel Rueckert MedIm 23 46 0 28 Jun 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows Guandao Yang Xun Huang Jinwei Gu Ming Liu Serge J. Belongie Bharath Hariharan 3DPC 40 660 0 28 Jun 2019
Tuning-Free Disentanglement via Projection Yue Bai L. Duan 21 3 0 27 Jun 2019
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization I. Lim Moritz Ibing Leif Kobbelt 3DPC 3DV 27 15 0 27 Jun 2019
Deep Active Learning with Adaptive Acquisition Manuel Haussmann Fred Hamprecht M. Kandemir 22 41 0 27 Jun 2019
Latent Multi-Criteria Ratings for Recommendations Pan Li Alexander Tuzhilin 17 23 0 26 Jun 2019
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks Jielong Yang Wee Peng Tay BDL 30 8 0 25 Jun 2019
Perceptual Generative Autoencoders Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull DRL GAN 28 28 0 25 Jun 2019
Sequential Neural Processes Gautam Singh Jaesik Yoon Youngsung Son Sungjin Ahn BDL AI4TS 40 81 0 24 Jun 2019
A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder Pablo Lanillos D. Oliva A. Philippsen Yuichi Yamashita Y. Nagai G. Cheng 20 120 0 24 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 26 123 0 23 Jun 2019
Defending Against Adversarial Examples with K-Nearest Neighbor Chawin Sitawarin David Wagner AAML 11 29 0 23 Jun 2019
Classical Music Prediction and Composition by means of Variational Autoencoders Daniel Rivero Enrique Fernández-Blanco A. Pazos DRL 33 6 0 21 Jun 2019
Unsupervised Phoneme and Word Discovery from Multiple Speakers using Double Articulation Analyzer and Neural Network with Parametric Bias Ryo Nakashima Ryo Ozaki T. Taniguchi 21 6 0 21 Jun 2019