Variational Autoencoder for Deep Learning of Images, Labels and Captions

28 September 2016

Lawrence Carin

Papers citing "Variational Autoencoder for Deep Learning of Images, Labels and Captions"

34 / 234 papers shown

Title
Natural Language Generation with Neural Variational Models Hareesh Bahuleyan DRL 16 6 0 27 Aug 2018
Persuasive Faces: Generating Faces in Advertisements Christopher Thomas Adriana Kovashka CVBM GAN 11 10 0 25 Jul 2018
Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis Hai Pham Thomas Manzini Paul Pu Liang Barnabás Póczós 29 64 0 11 Jul 2018
Learning a Representation Map for Robot Navigation using Deep Variational Autoencoder Kai-Chun Hu Peter O'Connor SSL DRL 21 2 0 05 Jul 2018
An Unsupervised Learning Classifier with Competitive Error Performance D. Nissani SSL 17 1 0 25 Jun 2018
Improving latent variable descriptiveness with AutoGen Alex Mansbridge Roberto Fierimonte Ilya Feige David Barber DRL 14 2 0 12 Jun 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets Yunchen Pu Shuyang Dai Zhe Gan Weiyao Wang Guoyin Wang Yizhe Zhang Ricardo Henao Lawrence Carin GAN OOD 37 41 0 08 Jun 2018
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 19 42 0 29 May 2018
Omega: An Architecture for AI Unification Eray Özkural AI4CE 23 1 0 16 May 2018
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data Xihui Liu Hongsheng Li Jing Shao Dapeng Chen Xiaogang Wang 25 133 0 22 Mar 2018
Deep Co-Training for Semi-Supervised Image Recognition Siyuan Qiao Wei Shen Zhishuai Zhang Bo Wang Alan Yuille 10 444 0 15 Mar 2018
Multimodal Generative Models for Scalable Weakly-Supervised Learning Mike Wu Noah D. Goodman DRL 22 378 0 14 Feb 2018
Leveraging the Exact Likelihood of Deep Latent Variable Models Pierre-Alexandre Mattei J. Frellsen DRL 11 66 0 13 Feb 2018
Topic Compositional Neural Language Model Wenlin Wang Zhe Gan Wenqi Wang Dinghan Shen Jiaji Huang Ming-Yu Liu S. Satheesh Lawrence Carin 11 81 0 28 Dec 2017
Adversarial Symmetric Variational Autoencoder Yunchen Pu Weiyao Wang Ricardo Henao Liqun Chen Zhe Gan Chunyuan Li Lawrence Carin DRL GAN 42 78 0 14 Nov 2017
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics Milad Makkie Heng-Chiao Huang Yu Zhao A. Vasilakos Tianming Liu 28 31 0 24 Oct 2017
Deconvolutional Latent-Variable Model for Text Sequence Matching Dinghan Shen Yizhe Zhang Ricardo Henao Qinliang Su Lawrence Carin DRL BDL 21 67 0 21 Sep 2017
Triangle Generative Adversarial Networks Zhe Gan Liqun Chen Weiyao Wang Yunchen Pu Yizhe Zhang Hao Liu Chunyuan Li Lawrence Carin GAN OOD 31 136 0 19 Sep 2017
Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories Yajing Chen Shikui Tu Yuqi Yi Lei Xu BDL DRL 34 66 0 13 Sep 2017
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning Jiuxiang Gu Jianfei Cai G. Wang Tsuhan Chen 35 178 0 11 Sep 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching Chunyuan Li Hao Liu Changyou Chen Yunchen Pu Liqun Chen Ricardo Henao Lawrence Carin GAN FedML 40 220 0 05 Sep 2017
Energy-based Models for Video Anomaly Detection H. Vu Dinh Q. Phung T. Nguyen Anthony Trevors Svetha Venkatesh 26 22 0 17 Aug 2017
Deconvolutional Paragraph Representation Learning Yizhe Zhang Dinghan Shen Guoyin Wang Zhe Gan Ricardo Henao Lawrence Carin SSL AI4TS 17 76 0 16 Aug 2017
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images Avi Singh Larry Yang Sergey Levine 22 23 0 07 Aug 2017
SCAN: Learning Hierarchical Compositional Visual Concepts I. Higgins Nicolas Sonnerat Loic Matthey Arka Pal Christopher P. Burgess Matko Bosnjak Murray Shanahan M. Botvinick Demis Hassabis Alexander Lerchner OCL DRL CoGe 24 51 0 11 Jul 2017
Adversarial Feature Matching for Text Generation Yizhe Zhang Zhe Gan Kai Fan Zhi Chen Ricardo Henao Dinghan Shen Lawrence Carin GAN 21 333 0 12 Jun 2017
Generative Models of Visually Grounded Imagination Ramakrishna Vedantam Ian S. Fischer Jonathan Huang Kevin Patrick Murphy 25 138 0 30 May 2017
Learning a Hierarchical Latent-Variable Model of 3D Shapes Shikun Liu C. Lee Giles Alexander Ororbia 3DV 13 6 0 17 May 2017
VAE Learning via Stein Variational Gradient Descent Yunchen Pu Zhe Gan Ricardo Henao Chunyuan Li Shaobo Han Lawrence Carin DRL 23 6 0 18 Apr 2017
Deep Stochastic Radar Models T. Wheeler M. Holder H. Winner Mykel Kochenderfer 26 61 0 31 Jan 2017
An Empirical Study of Language CNN for Image Captioning Jiuxiang Gu G. Wang Jianfei Cai Tsuhan Chen 31 132 0 21 Dec 2016
Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering Hao Liu Yang Yang Fumin Shen Lixin Duan Heng Tao Shen 38 9 0 15 Dec 2016
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis Andrew Stevens Yunchen Pu Yannan Sun Gregory P. Spell Lawrence Carin 28 13 0 08 Dec 2016
Semantic Compositional Networks for Visual Captioning Zhe Gan Chuang Gan Xiaodong He Yunchen Pu Kenneth Tran Jianfeng Gao Lawrence Carin Li Deng CoGe 53 425 0 23 Nov 2016