Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,447 papers shown

Title
Attribute-Guided Sketch Generation Hao Tang Xinya Chen Wei Wang Dan Xu Jason J. Corso N. Sebe Yan Yan CVBM GAN 25 23 0 28 Jan 2019
Pixelated Semantic Colorization Jiaojiao Zhao Jiawei Han Ling Shao Cees G. M. Snoek 27 76 0 27 Jan 2019
Disentangling and Learning Robust Representations with Natural Clustering Javier Antorán A. Miguel CoGe OOD CML DRL 27 19 0 27 Jan 2019
Concrete Autoencoders for Differentiable Feature Selection and Reconstruction Abubakar Abid M. F. Balin James Zou SyDa 26 224 0 27 Jan 2019
Maximum Entropy Generators for Energy-Based Models Rithesh Kumar Sherjil Ozair Anirudh Goyal Aaron Courville Yoshua Bengio 19 112 0 24 Jan 2019
Never Forget: Balancing Exploration and Exploitation via Learning Optical Flow Hsuan-Kung Yang Po-Han Chiang Kuan-Wei Ho Min-Fong Hong Chun-Yi Lee 35 7 0 24 Jan 2019
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 27 36 0 24 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 31 1 0 24 Jan 2019
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction Nairouz Mrabah N. Khan Riadh Ksantini Z. Lachiri 23 63 0 23 Jan 2019
RPC: A Large-Scale Retail Product Checkout Dataset Xiu-Shen Wei Quan Cui Lei Yang Peng Wang Lingqiao Liu 21 124 0 22 Jan 2019
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading Paul Henderson V. Ferrari 3DV 26 127 0 19 Jan 2019
Robust Anomaly Detection in Images using Adversarial Autoencoders Laura Beggel Michael Pfeiffer B. Bischl UQCV 29 115 0 18 Jan 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 46 854 0 18 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 34 172 0 17 Jan 2019
Attentive Neural Processes Hyunjik Kim A. Mnih Jonathan Richard Schwarz M. Garnelo S. M. Ali Eslami Dan Rosenbaum Oriol Vinyals Yee Whye Teh 54 429 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 25 272 0 16 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Yibo Yang P. Perdikaris SyDa BDL AI4CE 29 55 0 15 Jan 2019
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data Liheng Zhang Guo-Jun Qi Liqiang Wang Jiebo Luo 14 202 0 14 Jan 2019
Bayesian Learning of Neural Network Architectures G. Dikov Patrick van der Smagt Justin Bayer BDL 31 30 0 14 Jan 2019
Stroke-based sketched symbol reconstruction and segmentation Kurmanbek Kaiyrbekov M. Sezgin 22 19 0 10 Jan 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 41 1,479 0 10 Jan 2019
A witness function based construction of discriminative models using Hermite polynomials H. Mhaskar A. Cloninger Xiuyuan Cheng 24 9 0 10 Jan 2019
Composite Shape Modeling via Latent Space Factorization Anastasia Dubrovina Fei Xia Panos Achlioptas Mira Shalah Raphael Groscot Leonidas J. Guibas 3DV 14 64 0 09 Jan 2019
Dirichlet Variational Autoencoder Weonyoung Joo Wonsung Lee Sungrae Park Il-Chul Moon BDL DRL 32 101 0 09 Jan 2019
Deep Neural Networks Predicting Oil Movement in a Development Unit Pavel Temirchev M. Simonov R. Kostoev Evgeny Burnaev Ivan Oseledets A. Akhmetov A. Margarit A. Sitnikov D. Koroteev AI4CE 16 50 0 08 Jan 2019
Unpaired Pose Guided Human Image Generation Xu Chen Mingli Song Otmar Hilliges GAN 3DH 24 18 0 08 Jan 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 28 122 0 08 Jan 2019
Learning Graph Embedding with Adversarial Training Methods Shirui Pan Ruiqi Hu S. Fung Guodong Long Jing Jiang Chengqi Zhang GNN GAN 27 282 0 04 Jan 2019
Imminent Collision Mitigation with Reinforcement Learning and Vision Horia Porav Paul Newman 22 18 0 03 Jan 2019
Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler Duo Xu 29 2 0 03 Jan 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution Chunyuan Li Ke Bai Jianqiao Li Guoyin Wang Changyou Chen Lawrence Carin 16 10 0 03 Jan 2019
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation Cristina Garbacea Samuel Carton Shiyan Yan Qiaozhu Mei ELM 25 29 0 02 Jan 2019
Soft Autoencoder and Its Wavelet Adaptation Interpretation Fenglei Fan Mengzhou Li Yueyang Teng Ge Wang 24 3 0 31 Dec 2018
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation Lianfa Li Ying Fang Jun Wu Jinfeng Wang 30 13 0 29 Dec 2018
Sampling Using Neural Networks for colorizing the grayscale images Wonbong Jang GAN DiffM 18 1 0 27 Dec 2018
Learning Dynamic Generator Model by Alternating Back-Propagation Through Time Jianwen Xie Ruiqi Gao Zilong Zheng Song-Chun Zhu Ying Nian Wu 35 47 0 27 Dec 2018
Deconfounding Reinforcement Learning in Observational Settings Chaochao Lu Bernhard Schölkopf José Miguel Hernández-Lobato CML OOD 39 73 0 26 Dec 2018
Learning to Walk via Deep Reinforcement Learning Tuomas Haarnoja Sehoon Ha Aurick Zhou Jie Tan George Tucker Sergey Levine 54 433 0 26 Dec 2018
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control Xingxing Liang Qi Wang Yanghe Feng Zhong Liu Jincai Huang 29 5 0 24 Dec 2018
Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions Zhilin Zheng Li Sun CML CoGe DRL 18 46 0 22 Dec 2018
Variational Cross-domain Natural Language Generation for Spoken Dialogue Systems Bo-Hsiang Tseng Florian Kreyssig Paweł Budzianowski I. Casanueva Yen-Chen Wu Stefan Ultes Milica Gasic DRL 17 14 0 20 Dec 2018
Fast Approximate Geodesics for Deep Generative Models Nutan Chen Francesco Ferroni Alexej Klushyn A. Paraschos Justin Bayer Patrick van der Smagt DRL 24 30 0 19 Dec 2018
A Tour of Unsupervised Deep Learning for Medical Image Analysis Khalid Raza N. Singh OOD MedIm 19 103 0 19 Dec 2018
An Empirical Study of Generative Models with Encoders Paul Kishan Rubenstein Yunpeng Li Dominik Roblek GAN 17 1 0 19 Dec 2018
Machine Learning for Molecular Dynamics on Long Timescales Frank Noé AI4CE 25 32 0 18 Dec 2018
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach Tsui-Wei Weng Pin-Yu Chen Lam M. Nguyen M. Squillante Ivan Oseledets Luca Daniel AAML 21 30 0 18 Dec 2018
Learning a Probabilistic Model for Diffeomorphic Registration Julian Krebs H. Delingette B. Mailhé N. Ayache Tommaso Mansi DiffM MedIm 28 193 0 18 Dec 2018
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE Santhosh Kelathodi Kumaran D. P. Dogra P. Roy Adway Mitra 29 16 0 18 Dec 2018
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering Quanshi Zhang Ruiming Cao Ying Nian Wu Song-Chun Zhu 16 14 0 18 Dec 2018
Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother S. A. Canchumuni A. Emerick M. Pacheco OOD AI4CE 30 109 0 17 Dec 2018