Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,457 papers shown

Title
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder Heecheol Kim Masanori Yamada Kosuke Miyoshi Hiroshi Yamakawa DRL 16 6 0 22 Mar 2019
Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation Xipeng Chen Kwan-Yee Lin Wentao Liu Chao Qian Xiaogang Wang Liang Lin 3DH 27 105 0 21 Mar 2019
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction Christoph Schöller Vincent Aravantinos F. Lay Alois C. Knoll 27 220 0 19 Mar 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 22 45 0 18 Mar 2019
Topic-Guided Variational Autoencoders for Text Generation Wenlin Wang Zhe Gan Hongteng Xu Ruiyi Zhang Guoyin Wang Dinghan Shen Changyou Chen Lawrence Carin BDL 33 126 0 17 Mar 2019
Unsupervised and interpretable scene discovery with Discrete-Attend-Infer-Repeat Duo Wang M. Jamnik Pietro Lio BDL OCL 26 5 0 14 Mar 2019
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations Tri Dao Albert Gu Matthew Eichhorn Atri Rudra Christopher Ré 24 102 0 14 Mar 2019
Deep learning for molecular design - a review of the state of the art Daniel C. Elton Zois Boukouvalas M. Fuge Peter W. Chung AI4CE 3DV 29 327 0 11 Mar 2019
Affordance Learning for End-to-End Visuomotor Robot Control Aleksi Hämäläinen Karol Arndt Ali Ghadirzadeh Ville Kyrki 38 48 0 10 Mar 2019
Semantics Preserving Adversarial Learning Ousmane Amadou Dia Elnaz Barshan Reza Babanezhad AAML GAN 33 2 0 10 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 37 1,291 0 10 Mar 2019
Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces Adrian Dalca Guha Balakrishnan John Guttag M. Sabuncu MedIm DiffM 38 363 0 08 Mar 2019
Unsupervised Data Imputation via Variational Inference of Deep Subspaces Adrian Dalca John Guttag M. Sabuncu DRL 23 13 0 08 Mar 2019
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation Adrian Dalca John Guttag M. Sabuncu MedIm SSeg 30 146 0 07 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders J. Fauw Sander Dieleman Karen Simonyan GAN 30 37 0 06 Mar 2019
Persona-Aware Tips Generation Piji Li Zihao Wang Lidong Bing Wai Lam 20 40 0 06 Mar 2019
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences S. Ghimire P. Gyawali Jwala Dhamala J. Sapp M. Horacek Linwei Wang DRL 21 11 0 05 Mar 2019
Using Causal Analysis to Learn Specifications from Task Demonstrations Daniel Angelov Yordan V. Hristov S. Ramamoorthy CML 26 19 0 04 Mar 2019
Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning Ruo-Ze Liu Haifeng Guo Xiaozhong Ji Yang Yu Zhen-Jia Pang Zitai Xiao Yuzhou Wu Tong Lu OffRL 19 13 0 02 Mar 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning Yizhe Zhu Jianwen Xie Zhiqiang Tang Xi Peng Ahmed Elgammal VLM 25 119 0 01 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 42 500 0 01 Mar 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation Yizhe Zhang Lin Yang Hao Zheng Peixian Liang Colleen A. Mangold R. Loreto David P. Hughes Danny Chen MedIm 27 13 0 28 Feb 2019
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images Ruizhi Liao Jonathan Rubin Grace Y. Lam Seth Berkowitz Sandeep Dalal W. Wells Steven Horng Polina Golland 30 13 0 27 Feb 2019
StyleRemix: An Interpretable Representation for Neural Image Style Transfer Hongmin Xu Qiang Li Wenbo Zhang Wen Zheng 42 5 0 27 Feb 2019
Hypernetwork functional image representation Sylwester Klocek Lukasz Maziarka Maciej Wołczyk Jacek Tabor Jakub Nowak Marek Śmieja SupR 3DH 24 90 0 27 Feb 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 33 89 0 25 Feb 2019
The State of Sparsity in Deep Neural Networks Trevor Gale Erich Elsen Sara Hooker 33 747 0 25 Feb 2019
Cooperative Learning of Disjoint Syntax and Semantics Serhii Havrylov Germán Kruszewski Armand Joulin 18 48 0 25 Feb 2019
Revealing quantum chaos with machine learning Y. Kharkov V. E. Sotskov A. A. Karazeev E. Kiktenko A. Fedorov AI4CE 27 27 0 25 Feb 2019
Bi-Skip: A Motion Deblurring Network Using Self-paced Learning Yiwei Zhang Chunbiao Zhu Ge Li Yuan Zhao Haifeng Shen 19 2 0 24 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 39 386 0 23 Feb 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach Minyoung Kim Pritish Sahu Behnam Gholami Vladimir Pavlovic OOD 14 45 0 23 Feb 2019
Deep Learning Multidimensional Projections M. Espadoto N. Hirata A. Telea 19 60 0 21 Feb 2019
Mixture Models for Diverse Machine Translation: Tricks of the Trade T. Shen Myle Ott Michael Auli MarcÁurelio Ranzato MoE 33 148 0 20 Feb 2019
Adversarial Augmentation for Enhancing Classification of Mammography Images Lukás Jendele Ondrej Skopek Anton S. Becker E. Konukoglu MedIm GAN 20 5 0 20 Feb 2019
World Discovery Models M. G. Azar Bilal Piot Bernardo Avila-Pires Jean-Bastien Grill Florent Altché Rémi Munos 21 26 0 20 Feb 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 33 271 0 19 Feb 2019
Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks Jinyong Hou Xuejie Ding Jeremiah D. Deng Stephen Cranefield OOD 32 6 0 17 Feb 2019
Fully-Featured Attribute Transfer De Xie Muli Yang Cheng Deng Wen Liu Dacheng Tao GAN DiffM 19 7 0 17 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 29 200 0 15 Feb 2019
Deep Divergence-Based Approach to Clustering Michael C. Kampffmeyer Sigurd Løkse F. Bianchi L. Livi Arnt-Børre Salberg Robert Jenssen 31 61 0 13 Feb 2019
A Minimal Template for Interactive Web-based Demonstrations of Musical Machine Learning Vibert Thio Hao-Min Liu Yin-Cheng Yeh Yi-Hsuan Yang 16 10 0 11 Feb 2019
Improving Deep Image Clustering With Spatial Transformer Layers Thiago V. M. Souza Cleber Zanchettin 27 5 0 09 Feb 2019
Hybrid Models with Deep and Invertible Features Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan BDL DRL 22 99 0 07 Feb 2019
Relevance Factor VAE: Learning and Identifying Disentangled Factors Minyoung Kim Yuting Wang Pritish Sahu Vladimir Pavlovic CoGe CML DRL 27 39 0 05 Feb 2019
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos Paavo Parmas C. Rasmussen Jan Peters Kenji Doya 8 85 0 04 Feb 2019
DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences Amirreza Farnoosh B. Rezaei Sarah Ostadabbas BDL 31 15 0 03 Feb 2019
Improving Evolutionary Strategies with Generative Neural Networks Louis Faury Clément Calauzènes Olivier Fercoq Syrine Krichene 27 12 0 31 Jan 2019
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System Joseph Paul Cohen Paul Bertin Vincent Frappier OOD MedIm 37 68 0 31 Jan 2019
Emerging Convolutions for Generative Normalizing Flows Emiel Hoogeboom Rianne van den Berg Max Welling DRL 24 98 0 30 Jan 2019