Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

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Title
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models Zhijian Ou Yunfu Song BDL 34 8 0 28 May 2020
Variational Autoencoder with Embedded Student- $t$ Mixture Model for Authorship Attribution Benedikt T. Boenninghoff Steffen Zeiler R. M. Nickel D. Kolossa BDL DRL 38 2 0 28 May 2020
Anomaly Detection Based on Deep Learning Using Video for Prevention of Industrial Accidents S. Hashimoto Yonghoon Ji K. Kudo Takayuki Takahashi K. Umeda 16 3 0 28 May 2020
Goal-Directed Planning for Habituated Agents by Active Inference Using a Variational Recurrent Neural Network Takazumi Matsumoto Jun Tani DRL 30 28 0 27 May 2020
Semi-supervised source localization with deep generative modeling Michael J. Bianco Sharon Gannot Peter Gerstoft DRL 24 21 0 27 May 2020
Contrastive Predictive Coding Supported Factorized Variational Autoencoder for Unsupervised Learning of Disentangled Speech Representations Janek Ebbers Michael Kuhlmann Tobias Cord-Landwehr Reinhold Haeb-Umbach DRL CoGe SSL 31 4 0 26 May 2020
DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting Alessio Monti Alessia Bertugli Simone Calderara Rita Cucchiara 25 66 0 26 May 2020
Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection Kazuma Kobayashi Ryuichiro Hataya Y. Kurose Amina Bolatkan M. Miyake Hirokazu Watanabe Masamichi Takahashi J. Itami Tatsuya Harada Ryuji Hamamoto MedIm 13 1 0 26 May 2020
Deep Tensor CCA for Multi-view Learning Hok Shing Wong L. xilinx Wang Raymond H. F. Chan T. Zeng 29 23 0 25 May 2020
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study Himanshu Sharma Elise Jennings BDL 29 3 0 23 May 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation Yizhe Zhu Martin Renqiang Min Asim Kadav H. Graf CoGe DRL 32 95 0 23 May 2020
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances Fan Zhou Xovee Xu Goce Trajcevski Kunpeng Zhang 24 171 0 22 May 2020
Correlated Mixed Membership Modeling of Somatic Mutations Rahul Mehta M. Karaman 6 0 0 21 May 2020
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges D. Charte F. Charte M. J. D. Jesus Francisco Herrera SSL OOD 27 51 0 21 May 2020
Pitchtron: Towards audiobook generation from ordinary people's voices Sunghee Jung Hoi-Rim Kim 16 5 0 21 May 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 39 1,308 0 20 May 2020
Unsupervised anomaly localization using VAE and beta-VAE Leixin Zhou Wenxiang Deng Xiaodong Wu DRL 38 15 0 19 May 2020
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation Sungmin Kang R. Feldt S. Yoo AAML 26 32 0 19 May 2020
Anomalous sound detection based on interpolation deep neural network Kaori Suefusa Tomoya Nishida Harsh Purohit Ryo Tanabe Takashi Endo Y. Kawaguchi 6 119 0 19 May 2020
Learning and Inference in Imaginary Noise Models Saeed Saremi BDL DRL 11 2 0 18 May 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 38 83 0 18 May 2020
Robust Training of Vector Quantized Bottleneck Models A. Lancucki J. Chorowski Guillaume Sanchez R. Marxer Nanxin Chen Hans J. G. A. Dolfing Sameer Khurana Tanel Alumäe Antoine Laurent 34 58 0 18 May 2020
COVI White Paper H. Alsdurf Edmond Belliveau Yoshua Bengio T. Deleu Prateek Gupta ... Abhinav Sharma B. Struck Jian Tang Martin Weiss Y. Yu 31 29 0 18 May 2020
Syntax-guided Controlled Generation of Paraphrases Ashutosh Kumar Kabir Ahuja Raghuram Vadapalli Partha P. Talukdar 29 93 0 18 May 2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction Alessia Bertugli Simone Calderara Pasquale Coscia Lamberto Ballan Rita Cucchiara 36 28 0 17 May 2020
Model-Augmented Actor-Critic: Backpropagating through Paths I. Clavera Yao Fu Pieter Abbeel 44 87 0 16 May 2020
Visual Relationship Detection using Scene Graphs: A Survey Aniket Agarwal Ayush Mangal Vipul GNN 32 20 0 16 May 2020
Semantic Photo Manipulation with a Generative Image Prior David Bau Hendrik Strobelt William S. Peebles Jonas Wulff Bolei Zhou Jun-Yan Zhu Antonio Torralba GAN 39 349 0 15 May 2020
You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation A. Laptev Roman Korostik A. Svischev A. Andrusenko Ivan Medennikov S. Rybin 16 61 0 14 May 2020
The JuliaConnectoR: a functionally oriented interface for integrating Julia in R S. Lenz Maren Hackenberg Harald Binder 16 8 0 13 May 2020
Multiple Imputation for Biomedical Data using Monte Carlo Dropout Autoencoders Kristian Miok Dong Nguyen Doan Marko Robnik-Šikonja D. Zaharie SyDa 36 7 0 13 May 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 25 521 0 12 May 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 33 401 0 12 May 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders Saeid Asgari Taghanaki Mohammad Havaei Alex Lamb Aditya Sanghi Aram Danielyan Tonya Custis DRL 38 7 0 12 May 2020
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search Prashant Pandey A. Prathosh Vinay Kyatham Deepak Mishra T. R. Dastidar OOD MedIm 39 25 0 11 May 2020
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis Stefano Cerri Oula Puonti D. Meier J. Wuerfel Mark Muhlau H. Siebner Koen van Leemput 19 100 0 11 May 2020
A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis Li Zhang Mingliang Wang Mingxia Liu Daoqiang Zhang 26 155 0 10 May 2020
Posterior Control of Blackbox Generation Xiang Lisa Li Alexander M. Rush 24 25 0 10 May 2020
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching S. A. Canchumuni J. D. B. Castro Júlia Potratz A. Emerick M. Pacheco 22 47 0 08 May 2020
Minority Class Oversampling for Tabular Data with Deep Generative Models R. Camino Christian A. Hammerschmidt R. State 22 2 0 07 May 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 30 27 0 07 May 2020
Shared Autonomy with Learned Latent Actions Hong Jun Jeon Dylan P. Losey Dorsa Sadigh 16 78 0 07 May 2020
Attentive Semantic Exploring for Manipulated Face Detection Zehao Chen Hua Yang CVBM 18 22 0 06 May 2020
Community Detection Clustering via Gumbel Softmax D. Acharya Huaming Zhang 10 17 0 05 May 2020
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly Detection Seonho Park George Adosoglou P. Pardalos DRL UQCV 36 16 0 05 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 288 0 30 Apr 2020
Unsupervised Lesion Detection via Image Restoration with a Normative Prior Xiaoran Chen Suhang You K. Tezcan E. Konukoglu MedIm 35 135 0 30 Apr 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 48 140 0 30 Apr 2020
Jukebox: A Generative Model for Music Prafulla Dhariwal Heewoo Jun Christine Payne Jong Wook Kim Alec Radford Ilya Sutskever VLM 60 725 0 30 Apr 2020
Plan-Space State Embeddings for Improved Reinforcement Learning Max Pflueger Gaurav Sukhatme 17 1 0 30 Apr 2020