Nonparametric Variational Auto-encoders for Hierarchical Representation
Learning

Nonparametric Variational Auto-encoders for Hierarchical Representation Learning

21 March 2017

Xiaodan Liang

Papers citing "Nonparametric Variational Auto-encoders for Hierarchical Representation Learning"

18 / 18 papers shown

Title
DIVA: A Dirichlet Process Mixtures Based Incremental Deep Clustering Algorithm via Variational Auto-Encoder Zhenshan Bing Y. Meng Yuqi Yun Hang Su Xiaojie Su Kai-Qi Huang Alois C. Knoll BDL 6 1 0 23 May 2023
Clustering by Maximizing Mutual Information Across Views Kien Do T. Tran Svetha Venkatesh VLM SSL 16 37 0 24 Jul 2021
Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors Fenia Christopoulou Makoto Miwa Sophia Ananiadou 43 20 0 16 Apr 2021
Head2Head++: Deep Facial Attributes Re-Targeting M. Doukas Mohammad Rami Koujan V. Sharmanska A. Roussos CVBM 3DH 32 45 0 17 Jun 2020
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan Xintao Wu AAML 20 157 0 25 May 2020
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms Daeryong Kim B. Suh 24 50 0 03 Nov 2019
BooVAE: Boosting Approach for Continual Learning of VAE Anna Kuzina Evgenii Egorov Evgeny Burnaev CLL 16 24 0 30 Aug 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 27 84 0 24 Aug 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 32 14 0 31 May 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 24 27 0 17 Apr 2019
Hierarchically Clustered Representation Learning Su-Jin Shin Kyungwoo Song Il-Chul Moon BDL 21 16 0 28 Jan 2019
Time-Aware and View-Aware Video Rendering for Unsupervised Representation Learning Shruti Vyas Yogesh S Rawat M. Shah AI4TS 33 4 0 26 Nov 2018
The LORACs prior for VAEs: Letting the Trees Speak for the Data Sharad Vikram Matthew D. Hoffman Matthew J. Johnson CML BDL 19 15 0 16 Oct 2018
Item Recommendation with Variational Autoencoders and Heterogenous Priors Giannis Karamanolakis Kevin Raji Cherian A. Narayan Jie Yuan Da Tang Tony Jebara DRL 16 45 0 17 Jul 2018
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder Xiaodong Gu Kyunghyun Cho Jung-Woo Ha Sunghun Kim DRL 41 129 0 31 May 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
Efficient Correlated Topic Modeling with Topic Embedding Junxian He Zhiting Hu Taylor Berg-Kirkpatrick Ying Huang Eric Xing 31 48 0 01 Jul 2017
On Unifying Deep Generative Models Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing DRL GAN 41 127 0 02 Jun 2017