Learning Autoencoders with Relational Regularization

7 February 2020

Lawrence Carin

Papers citing "Learning Autoencoders with Relational Regularization"

27 / 27 papers shown

Title
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation Yi-cui Zhang Yiwen Zhang Y. X. R. Wang Tong Chen Hongzhi Yin 41 0 0 10 Apr 2025
An Information-Theoretic Regularizer for Lossy Neural Image Compression Yanmei Zhang Meng Wang Xihua Sheng Peilin Chen Junru Li Li Zhang Shuaiqiang Wang 308 0 0 23 Nov 2024
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 51 10,591 0 17 Feb 2020
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 30 49 0 19 Nov 2019
Hierarchical Optimal Transport for Multimodal Distribution Alignment John Lee M. Dabagia Eva L. Dyer Christopher Rozell OT 20 65 0 27 Jun 2019
Hierarchical Optimal Transport for Document Representation Mikhail Yurochkin Sebastian Claici Edward Chien F. Mirzazadeh Justin Solomon OT 26 90 0 26 Jun 2019
Sliced Gromov-Wasserstein Titouan Vayer Rémi Flamary Romain Tavenard Laetitia Chapel Nicolas Courty OT 11 100 0 24 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 28 192 0 18 May 2019
Learning Generative Models across Incomparable Spaces Charlotte Bunne David Alvarez-Melis Andreas Krause Stefanie Jegelka GAN 25 112 0 14 May 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 46 127 0 17 Mar 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding Hongteng Xu Dixin Luo H. Zha Lawrence Carin 42 256 0 17 Jan 2019
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties David Tellez G. Litjens J. A. van der Laak R. Tavenard F. Ciompi OT 52 125 0 07 Nov 2018
Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi Tomoharu Iwata Yuki Yamanaka Masanori Yamada Satoshi Yagi DRL 39 62 0 14 Sep 2018
Gromov-Wasserstein Alignment of Word Embedding Spaces David Alvarez-Melis Tommi Jaakkola OT 24 326 0 31 Aug 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 27 270 0 23 May 2018
Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model Soheil Kolouri Phillip E. Pope Charles E. Martin Gustavo K. Rohde 17 94 0 05 Apr 2018
Wasserstein Auto-Encoders Ilya O. Tolstikhin Olivier Bousquet Sylvain Gelly B. Schölkopf DRL 76 1,049 0 05 Nov 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 45 628 0 19 May 2017
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders Nat Dilokthanakul P. Mediano M. Garnelo M. J. Lee Hugh Salimbeni Kai Arulkumaran Murray Shanahan DRL 27 651 0 08 Nov 2016
Multi-view Generative Adversarial Networks Mickaël Chen Ludovic Denoyer GAN 33 30 0 07 Nov 2016
On Deep Multi-View Representation Learning: Objectives and Optimization Weiran Wang R. Arora Karen Livescu J. Bilmes SSL DRL 26 909 0 02 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 197 13,968 0 19 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 45 2,352 0 19 Nov 2015
Sliced Wasserstein Kernels for Probability Distributions Soheil Kolouri Yang Zou Gustavo K. Rohde 18 159 0 10 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 99 149,474 0 22 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 149 8,351 0 28 Nov 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 46 4,210 0 04 Jun 2013