Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization

8 February 2018

Papers citing "Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization"

15 / 15 papers shown

Title
Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation Yinsong Xu Aidong Men Yang Liu Xiahai Zhuang Qingchao Chen 63 0 0 06 Aug 2023
Geographical Knowledge-driven Representation Learning for Remote Sensing Images Wenyuan Li Keyan Chen Hao Chen Zhenwei Shi SSL 86 69 0 12 Jul 2021
Neural Mixture Models with Expectation-Maximization for End-to-end Deep Clustering Dumindu Tissera Kasun Vithanage Rukshan Wijesinghe A. Xavier Sanath Jayasena Subha Fernando Ranga Rodrigo FedML 26 4 0 06 Jul 2021
Multi-Facet Clustering Variational Autoencoders Fabian Falck Haoting Zhang M. Willetts G. Nicholson C. Yau Chris Holmes DRL 80 44 0 09 Jun 2021
Pseudo-supervised Deep Subspace Clustering Juncheng Lv Zhao Kang Xiao Lu Zenglin Xu 80 115 0 08 Apr 2021
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning Tao Han Junyu Gao Yuan. Yuan Qi. Wang 79 27 0 12 Oct 2020
Deep Goal-Oriented Clustering Yifeng Shi Christopher M. Bender Junier B. Oliva Marc Niethammer 23 0 0 07 Jun 2020
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection Rujikorn Charakorn Y. Thawornwattana Sirawaj Itthipuripat Nick Pawlowski P. Manoonpong Nat Dilokthanakul DRL OCL 59 13 0 24 Jan 2020
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring Sibylle Hess W. Duivesteijn Decebal Constantin Mocanu 60 13 0 07 Jan 2020
Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders M. Willetts Stephen J. Roberts Chris Holmes CoGe DRL 59 16 0 25 Sep 2019
Streaming Adaptive Nonparametric Variational Autoencoder Tingting Zhao Zifeng Wang A. Masoomi Jennifer G. Dy 8 2 0 07 Jun 2019
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels M. Willetts Stephen J. Roberts Christopher C Holmes 36 4 0 24 Jan 2019
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images Matan Ben-Yosef D. Weinshall 93 54 0 30 Aug 2018
Adversarially Learned Mixture Model Andrew Jesson Cécile Low-Kam Tanya Nair F. Soudan Florent Chandelier Nicolas Chapados 20 2 0 14 Jul 2018
Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing Md. Rezaul Karim Michael Cochez Achille Zappa Ratnesh Sahay Oya Beyan Dietrich-Rebholz Schuhmann Stefan Decker 8 0 0 30 May 2018