Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

16 November 2016

Papers citing "Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering"

50 / 86 papers shown

Title
Noise Optimized Conditional Diffusion for Domain Adaptation Lingkun Luo Shiqiang Hu Liming Chen DiffM 46 0 0 12 May 2025
A Tutorial on Discriminative Clustering and Mutual Information Louis Ohl Pierre-Alexandre Mattei F. Precioso 32 0 0 07 May 2025
Scalable Robust Bayesian Co-Clustering with Compositional ELBOs Ashwin Vinod Chandrajit Bajaj BDL 51 0 0 05 Apr 2025
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation Lingkun Luo Shiqiang Hu Liming Chen 89 0 0 10 Feb 2025
Deep clustering using adversarial net based clustering loss Kart-Leong Lim 69 0 0 12 Dec 2024
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation Fei Tang Yongliang Shen Hang Zhang Zeqi Tan Wenqi Zhang Guiyang Hou Kaitao Song Weiming Lu Yueting Zhuang 50 0 0 15 Oct 2024
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks Zhangkai Wu Xuhui Fan Jin Li Zhilin Zhao Hui Chen LongBing Cao 52 2 0 24 May 2024
The VampPrior Mixture Model Andrew Stirn David A. Knowles BDL 29 1 0 06 Feb 2024
Deep Embedding Clustering Driven by Sample Stability Zhanwen Cheng Feijiang Li Jieting Wang Yuhua Qian 26 0 0 29 Jan 2024
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations Tonmoy Hossain Miaomiao Zhang 19 2 0 20 Dec 2023
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 33 9 0 24 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 71 2 0 16 Oct 2023
Differentiable Random Partition Models Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 42 3 0 26 May 2023
Deep Clustering with a Constraint for Topological Invariance based on Symmetric InfoNCE Yuhui Zhang Yuichiro Wada Hiroki Waida Kaito Goto Yusaku Hino Takafumi Kanamori 27 3 0 06 Mar 2023
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley OODD OOD 23 12 0 17 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 57 11 0 29 Jan 2023
Long-horizon video prediction using a dynamic latent hierarchy Alexey Zakharov Qinghai Guo Z. Fountas 31 4 0 29 Dec 2022
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels Charles Richter Patrick R. Barragán S. Karaman SSL 12 1 0 14 Dec 2022
Rethinking the positive role of cluster structure in complex networks for link prediction tasks Shan-Shan Zhang Wenjiao Zhang Zhan Bu 19 0 0 04 Nov 2022
Unsupervised Learning of Structured Representations via Closed-Loop Transcription Shengbang Tong Xili Dai Yubei Chen Mingyang Li Zengyi Li Brent Yi Yann LeCun Y. Ma SSL DRL 29 7 0 30 Oct 2022
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 43 100 0 09 Oct 2022
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses Anshuman Chhabra Ashwin Sekhari P. Mohapatra OOD AAML 42 8 0 04 Oct 2022
Unsupervised Opinion Summarization Using Approximate Geodesics Somnath Basu Roy Chowdhury Nicholas Monath Kumar Avinava Dubey Amr Ahmed Snigdha Chaturvedi 47 7 0 15 Sep 2022
Generalized Identifiability Bounds for Mixture Models with Grouped Samples Robert A. Vandermeulen René Saitenmacher 28 2 0 22 Jul 2022
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell G. Loaiza-Ganem 33 39 0 06 Jul 2022
Deep embedded clustering algorithm for clustering PACS repositories T. Manojlović M. Milanič Ivan Štajduhar 19 7 0 24 Jun 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 23 49 0 20 Jun 2022
Stacked unsupervised learning with a network architecture found by supervised meta-learning Kyle L. Luther H. S. Seung SSL 27 0 0 06 Jun 2022
Unsupervised Slot Schema Induction for Task-oriented Dialog Dian Yu Mingqiu Wang Yuan Cao Izhak Shafran Laurent El Shafey H. Soltau 38 13 0 09 May 2022
Learning Group Importance using the Differentiable Hypergeometric Distribution Thomas M. Sutter Laura Manduchi Alain Ryser Julia E. Vogt 44 7 0 03 Mar 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 71 17 0 22 Feb 2022
Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types Kihyuk Sohn Jinsung Yoon Chun-Liang Li Chen-Yu Lee Tomas Pfister 19 18 0 21 Dec 2021
Top-Down Deep Clustering with Multi-generator GANs Daniel de Mello Renato M. Assunção Fabricio Murai 21 17 0 06 Dec 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter A. Nobari Faez Ahmed 3DV AI4CE 34 175 0 21 Oct 2021
Deep Variational Clustering Framework for Self-labeling of Large-scale Medical Images Farzin Soleymani M. Eslami T. Elze B. Bischl Mina Rezaei 22 5 0 22 Sep 2021
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems Mohit Sewak S. K. Sahay Hemant Rathore 8 5 0 12 Sep 2021
Regularizing Transformers With Deep Probabilistic Layers Aurora Cobo Aguilera Pablo Martínez Olmos Antonio Artés-Rodríguez Fernando Pérez-Cruz 29 7 0 23 Aug 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks R. A. Khan M. Kleinsteuber 27 3 0 09 Aug 2021
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning Chandrajit L. Bajaj A. Roy Haoran Zhang BDL DRL 23 1 0 25 Jul 2021
Clustering by Maximizing Mutual Information Across Views Kien Do T. Tran Svetha Venkatesh VLM SSL 11 37 0 24 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 29 1 0 05 Jul 2021
On Incorporating Inductive Biases into VAEs Ning Miao Emile Mathieu N. Siddharth Yee Whye Teh Tom Rainforth CML DRL 27 10 0 25 Jun 2021
Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering Jie Xu Yazhou Ren Huayi Tang X. Pu Xiaofeng Zhu Ming Zeng Lifang He DRL 23 106 0 21 Jun 2021
A Deep Variational Approach to Clustering Survival Data Laura Manduchi Ricards Marcinkevics M. Massi Thomas Weikert Alexander Sauter ... F. Vasella M. Neidert M. Pfister Bram Stieltjes Julia E. Vogt 21 29 0 10 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 31 124 0 14 May 2021
DPR-CAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing Canqun Xiang Zhennan Wang Wenbin Zou Chen Xu OCL 19 1 0 30 Apr 2021
Variational Co-embedding Learning for Attributed Network Clustering Shuiqiao Yang Sunny Verma Borui Cai Jiaojiao Jiang Kun Yu Fang Chen Shui Yu 24 30 0 15 Apr 2021
Pseudo-supervised Deep Subspace Clustering Juncheng Lv Zhao Kang Xiao Lu Zenglin Xu 32 111 0 08 Apr 2021
Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance Xu Xie Chi Zhang Yixin Zhu Ying Nian Wu Song-Chun Zhu 18 36 0 26 Mar 2021
Supporting Clustering with Contrastive Learning Dejiao Zhang Feng Nan Xiaokai Wei Shang-Wen Li Henghui Zhu Kathleen McKeown Ramesh Nallapati Andrew O. Arnold Bing Xiang SSL 41 195 0 24 Mar 2021