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"

50 / 234 papers shown

Title
Learning Representations by Maximizing Mutual Information in Variational Autoencoders Ali Lotfi-Rezaabad S. Vishwanath DRL SSL 17 39 0 21 Dec 2019
Mixing autoencoder with classifier: conceptual data visualization P. Hartono BDL 17 10 0 03 Dec 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs Riddhish Bhalodia Iain Lee Shireen Y. Elhabian DRL 17 10 0 24 Nov 2019
CRUR: Coupled-Recurrent Unit for Unification, Conceptualization and Context Capture for Language Representation -- A Generalization of Bi Directional LSTM C. Sur BDL 14 6 0 22 Nov 2019
Negative sampling in semi-supervised learning John Chen Vatsal Shah Anastasios Kyrillidis 28 21 0 12 Nov 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 34 192 0 12 Nov 2019
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip Torr DRL 32 266 0 08 Nov 2019
Statistical Inference in Mean-Field Variational Bayes Wei Han Yun Yang 28 17 0 04 Nov 2019
Semi-supervised Learning using Adversarial Training with Good and Bad Samples Wenyuan Li Zichen Wang Yuguang Yue Jiayun Li W. Speier Mingyuan Zhou C. Arnold GAN 21 22 0 18 Oct 2019
Improving Textual Network Learning with Variational Homophilic Embeddings Wenlin Wang Chenyang Tao Zhe Gan Guoyin Wang Liqun Chen Xinyuan Zhang Ruiyi Zhang Qian Yang Ricardo Henao Lawrence Carin DRL 6 16 0 30 Sep 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
Learning to Conceal: A Deep Learning Based Method for Preserving Privacy and Avoiding Prejudice Moshe Hanukoglu Nissan Goldberg Aviv Rovshitz A. Azaria 23 0 0 19 Sep 2019
ContCap: A scalable framework for continual image captioning Giang Nguyen Tae Joon Jun T. Tran Tolcha Yalew Daeyoung Kim VLM CLL 19 10 0 19 Sep 2019
Skill Transfer in Deep Reinforcement Learning under Morphological Heterogeneity Yang Hu Giovanni Montana 17 5 0 14 Aug 2019
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold Y. Yoo Sangdoo Yun H. Chang Y. Demiris J. Choi DRL 14 25 0 12 Aug 2019
Probabilistic Models with Deep Neural Networks A. Masegosa Rafael Cabañas H. Langseth Thomas D. Nielsen Antonio Salmerón BDL 14 12 0 09 Aug 2019
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning G. Wang Jianxin Wu 11 30 0 09 Aug 2019
Structured Knowledge Discovery from Massive Text Corpus Chenwei Zhang 14 0 0 23 Jul 2019
Shared Generative Latent Representation Learning for Multi-view Clustering Ming Yin Weitian Huang Junbin Gao 11 64 0 23 Jul 2019
Regularizing linear inverse problems with convolutional neural networks Reinhard Heckel 16 22 0 06 Jul 2019
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI Roman Beliy Guy Gaziv A. Hoogi Francesca Strappini Tal Golan Michal Irani 13 116 0 03 Jul 2019
Generative Restricted Kernel Machines: A Framework for Multi-view Generation and Disentangled Feature Learning Arun Pandey J. Schreurs Johan A. K. Suykens 50 13 0 19 Jun 2019
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders Taichi Sumi Brian Kenji Iwana Hideaki Hayashi S. Uchida EgoV 14 16 0 14 Jun 2019
Active Learning of Dynamics for Data-Driven Control Using Koopman Operators Ian Abraham Todd D. Murphey 22 160 0 12 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 33 2,295 0 06 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 30 34 0 04 Jun 2019
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching Jihun Choi Taeuk Kim Sang-goo Lee BDL 39 6 0 04 Jun 2019
A Plug-in Method for Representation Factorization in Connectionist Models Jee Seok Yoon Wonjun Ko Heung-Il Suk 22 1 0 27 May 2019
Semi-supervised Learning with Contrastive Predicative Coding Jiaxing Wang Yin Zheng Xiaoshuang Chen Junzhou Huang Jian Cheng SSL 19 0 0 25 May 2019
Robust Variational Autoencoder H. Akrami Anand A. Joshi Jian Li Sergul Aydore Richard M. Leahy DRL 22 21 0 23 May 2019
Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach Wenyuan Li Zichen Wang Jiayun Li J. Polson W. Speier C. Arnold GAN 14 22 0 16 May 2019
S4L: Self-Supervised Semi-Supervised Learning Xiaohua Zhai Avital Oliver Alexander Kolesnikov Lucas Beyer SSL VLM 46 787 0 09 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 58 2,989 0 06 May 2019
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph Yikang Li Tao Ma Yeqi Bai Nan Duan Sining Wei Xiaogang Wang 28 93 0 05 May 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 24 27 0 17 Apr 2019
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations Duong Nguyen Said Ouala Lucas Drumetz Ronan Fablet 18 29 0 25 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
Training Variational Autoencoders with Buffered Stochastic Variational Inference Rui Shu Hung Bui Jay Whang Stefano Ermon BDL 6 3 0 27 Feb 2019
Enhanced Variational Inference with Dyadic Transformation S. Chandy A. Rasekh DRL 14 0 0 30 Jan 2019
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need Vighnesh Birodkar H. Mobahi Samy Bengio 21 82 0 29 Jan 2019
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels M. Willetts Stephen J. Roberts Christopher C Holmes 6 4 0 24 Jan 2019
Learning Disentangled Representations with Reference-Based Variational Autoencoders Adria Ruiz Oriol Martínez Xavier Binefa Jakob Verbeek OOD CoGe DRL 14 26 0 24 Jan 2019
Learning a Generative Model of Cancer Metastasis Benjamin Kompa Beau Coker MedIm AI4CE 21 0 0 17 Jan 2019
Stroke-based sketched symbol reconstruction and segmentation Kurmanbek Kaiyrbekov M. Sezgin 22 19 0 10 Jan 2019
Recent Research Advances on Interactive Machine Learning Liu Jiang Shixia Liu Changjian Chen AI4CE VLM 11 80 0 12 Nov 2018
Generative Low-Shot Network Expansion Adi Hayat M. Kliger S. Fleishman Daniel Cohen-Or CLL VLM 11 0 0 19 Oct 2018
An ETF view of Dropout regularization Dor Bank Raja Giryes 8 4 0 14 Oct 2018
Reinforcement Evolutionary Learning Method for self-learning Kumarjit Pathak Jitin Kapila 14 3 0 07 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
VOS: a Method for Variational Oversampling of Imbalanced Data V. Fajardo David Findlay Roshanak Houmanfar Charu Jaiswal Jiaxi Liang Honglei Xie 13 8 0 07 Sep 2018