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"

28 / 78 papers shown

Title
General-Purpose User Embeddings based on Mobile App Usage Junqi Zhang Bing Bai Ye Lin Jian Liang Kun Bai Fei-Yue Wang 27 35 0 27 May 2020
Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework C. Sur 21 7 0 16 Feb 2020
MRRC: Multiple Role Representation Crossover Interpretation for Image Captioning With R-CNN Feature Distribution Composition (FDC) C. Sur 25 16 0 15 Feb 2020
Domain Embedded Multi-model Generative Adversarial Networks for Image-based Face Inpainting Xian Zhang Xin Wang Bin Kong Canghong Shi Youbing Yin Qi Song Siwei Lyu Jiancheng Lv Canghong Shi Xiaojie Li GAN CVBM 17 7 0 05 Feb 2020
Learning Representations by Maximizing Mutual Information in Variational Autoencoders Ali Lotfi-Rezaabad S. Vishwanath DRL SSL 9 38 0 21 Dec 2019
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials Yabo Dan Yong Zhao Xiang Li Shaobo Li Ming Hu Jianjun Hu AI4CE GAN 24 192 0 12 Nov 2019
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip H. S. Torr DRL 19 266 0 08 Nov 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion Zihao Wang K. Lai Piji Li Lidong Bing W. Lam 19 32 0 25 Sep 2019
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders Taichi Sumi Brian Kenji Iwana Hideaki Hayashi S. Uchida EgoV 9 16 0 14 Jun 2019
Active Learning of Dynamics for Data-Driven Control Using Koopman Operators Ian Abraham Todd D. Murphey 8 160 0 12 Jun 2019
The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis Cynthia Rudin David Carlson HAI 17 34 0 04 Jun 2019
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph Yikang Li Tao Ma Yeqi Bai Nan Duan Sining Wei Xiaogang Wang 20 93 0 05 May 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 22 27 0 17 Apr 2019
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations Duong Nguyen Said Ouala Lucas Drumetz Ronan Fablet 13 29 0 25 Mar 2019
Learning a Generative Model of Cancer Metastasis Benjamin Kompa Beau Coker MedIm AI4CE 16 0 0 17 Jan 2019
Stroke-based sketched symbol reconstruction and segmentation Kurmanbek Kaiyrbekov M. Sezgin 14 19 0 10 Jan 2019
An ETF view of Dropout regularization Dor Bank Raja Giryes 8 4 0 14 Oct 2018
The Dreaming Variational Autoencoder for Reinforcement Learning Environments Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo DRL 22 17 0 02 Oct 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 29 41 0 08 Jun 2018
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 11 42 0 29 May 2018
Adversarial Symmetric Variational Autoencoder Yunchen Pu Weiyao Wang Ricardo Henao Liqun Chen Zhe Gan Chunyuan Li Lawrence Carin DRL GAN 34 78 0 14 Nov 2017
Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories Yajing Chen Shikui Tu Yuqi Yi Lei Xu BDL DRL 24 66 0 13 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 32 220 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
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images Avi Singh Larry Yang Sergey Levine 19 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 13 51 0 11 Jul 2017
Deep Stochastic Radar Models T. Wheeler M. Holder H. Winner Mykel Kochenderfer 18 61 0 31 Jan 2017
An Empirical Study of Language CNN for Image Captioning Jiuxiang Gu G. Wang Jianfei Cai Tsuhan Chen 23 132 0 21 Dec 2016