Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,460 papers shown

Title
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
Understanding the Limitations of Variational Mutual Information Estimators Jiaming Song Stefano Ermon SSL DRL 28 202 0 14 Oct 2019
Variational Auto-encoder Based Bayesian Poisson Tensor Factorization for Sparse and Imbalanced Count Data Yuan Jin Ming Liu Yunfeng Li Ruohua Xu Lan Du Longxiang Gao Yong Xiang 19 5 0 12 Oct 2019
Regularizing Model-Based Planning with Energy-Based Models Rinu Boney Arno Solin Alexander Ilin 22 18 0 12 Oct 2019
Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems A. B. Zaki J. Huang Kaishun Wu B. Elhalawany 22 15 0 12 Oct 2019
Shape Constrained Network for Eye Segmentation in the Wild Bingnan Luo Jie Shen Shiyang Cheng Yujiang Wang Maja Pantic CVBM 28 26 0 11 Oct 2019
DDTCDR: Deep Dual Transfer Cross Domain Recommendation P. Li Alexander Tuzhilin 22 262 0 11 Oct 2019
Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning Yue Gao Yuan Guo Zheng Lian Yingmin Tang Jianguo Xiao GAN 38 101 0 11 Oct 2019
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs) Cheng He Shihua Huang Ran Cheng Kay Chen Tan Yaochu Jin GAN 8 122 0 11 Oct 2019
Defending Neural Backdoors via Generative Distribution Modeling Ximing Qiao Yukun Yang H. Li AAML 24 183 0 10 Oct 2019
MetaPix: Few-Shot Video Retargeting Jessica Lee Deva Ramanan Rohit Girdhar VGen ViT 19 26 0 10 Oct 2019
A Generative Approach Towards Improved Robotic Detection of Marine Litter Jungseok Hong Michael Fulton Junaed Sattar 25 21 0 10 Oct 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 27 61 0 09 Oct 2019
Out-of-distribution Detection in Classifiers via Generation Sachin Vernekar Ashish Gaurav Vahdat Abdelzad Taylor Denouden Rick Salay Krzysztof Czarnecki OODD 27 83 0 09 Oct 2019
Improving Password Guessing via Representation Learning Dario Pasquini Ankit Gangwal G. Ateniese M. Bernaschi Mauro Conti OOD 19 71 0 09 Oct 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 26 83 0 09 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber OffRL 16 118 0 09 Oct 2019
Multimodal representation models for prediction and control from partial information Martina Zambelli Antoine Cully Y. Demiris 24 27 0 09 Oct 2019
A Joint Model for IT Operation Series Prediction and Anomaly Detection Run-Qing Chen Guang-Hui Shi Wanlei Zhao Chang-Hui Liang DRL 9 16 0 09 Oct 2019
Increasing Expressivity of a Hyperspherical VAE Tim R. Davidson Jakub M. Tomczak E. Gavves 13 6 0 07 Oct 2019
Meta-Learning Deep Energy-Based Memory Models Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 45 34 0 07 Oct 2019
SCALOR: Generative World Models with Scalable Object Representations Jindong Jiang Sepehr Janghorbani Gerard de Melo Sungjin Ahn OCL DRL 46 132 0 06 Oct 2019
Straight-Through Estimator as Projected Wasserstein Gradient Flow Pengyu Cheng YooJung Choi Yitao Liang Dinghan Shen Ricardo Henao Guy Van den Broeck 29 14 0 05 Oct 2019
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents Nikolaos Malandrakis Minmin Shen Anuj Kumar Goyal Shuyang Gao Abhishek Sethi A. Metallinou 29 54 0 04 Oct 2019
Memory efficient brain tumor segmentation using an autoencoder-regularized U-Net Markus Frey Maria Shugrina 30 17 0 04 Oct 2019
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization Ying Zhang Ömer Deniz Akyildiz Theodoros Damoulas Sotirios Sabanis 24 44 0 04 Oct 2019
Conditional out-of-sample generation for unpaired data using trVAE M. Lotfollahi Mohsen Naghipourfar Fabian J. Theis F. A. Wolf GAN ViT DRL 30 19 0 04 Oct 2019
High Mutual Information in Representation Learning with Symmetric Variational Inference M. Livne Kevin Swersky David J. Fleet SSL DRL 36 0 0 04 Oct 2019
The Neural Moving Average Model for Scalable Variational Inference of State Space Models Tom Ryder D. Prangle Andrew Golightly Isaac Matthews BDL AI4TS 21 6 0 02 Oct 2019
Action Anticipation for Collaborative Environments: The Impact of Contextual Information and Uncertainty-Based Prediction Clebeson Canuto dos Santos Plinio Moreno J. L. A. Samatelo R. Vassallo J. Santos-Victor 25 7 0 01 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 30 426 0 01 Oct 2019
Predicting with High Correlation Features Devansh Arpit Caiming Xiong R. Socher OODD OOD 22 7 0 01 Oct 2019
Black-box Adversarial Attacks with Bayesian Optimization Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML MLAU 14 30 0 30 Sep 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows R. Cornish Anthony L. Caterini George Deligiannidis Arnaud Doucet 32 2 0 30 Sep 2019
Hamiltonian Generative Networks Peter Toth Danilo Jimenez Rezende Andrew Jaegle S. Racanière Aleksandar Botev I. Higgins BDL DRL AI4CE GAN 24 216 0 30 Sep 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 84 0 30 Sep 2019
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 149 1,051 0 27 Sep 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 34 54 0 27 Sep 2019
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding Qingyang Tan Zherong Pan Lin Gao Tianyi Zhou AI4CE 19 22 0 26 Sep 2019
Towards neural networks that provably know when they don't know Alexander Meinke Matthias Hein OODD 33 139 0 26 Sep 2019
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns Jianwen Xie Song-Chun Zhu Ying Nian Wu GAN 29 52 0 26 Sep 2019
Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition H. Nazki Sook Yoon A. Fuentes D. Park GAN MedIm 27 152 0 26 Sep 2019
Probabilistic Forecasting using Deep Generative Models A. Fanfarillo B. Roozitalab Weiming Hu G. Cervone 25 17 0 26 Sep 2019
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini OOD 24 53 0 26 Sep 2019
LAVAE: Disentangling Location and Appearance Andrea Dittadi Ole Winther OCL BDL DRL 20 6 0 25 Sep 2019
Stochastic Prototype Embeddings Tyler R. Scott Karl Ridgeway Michael C. Mozer BDL UQCV 13 14 0 25 Sep 2019
Semi-supervised Text Style Transfer: Cross Projection in Latent Space Mingyue Shang Piji Li Zhenxin Fu Lidong Bing Dongyan Zhao Shuming Shi Rui Yan 25 47 0 25 Sep 2019
A Generative Model for Molecular Distance Geometry G. Simm José Miguel Hernández-Lobato GAN 29 107 0 25 Sep 2019
Stochastic Conditional Generative Networks with Basis Decomposition Ze Wang Xiuyuan Cheng Guillermo Sapiro Qiang Qiu GAN 24 18 0 25 Sep 2019
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation Arna Ghosh Richard Y. Zhang P. Dokania Oliver Wang Alexei A. Efros Philip Torr Eli Shechtman VLM DiffM 27 130 0 24 Sep 2019