N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an
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N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding

16 August 2019

Ryan McConville

Raúl Santos-Rodríguez

Robert Piechocki

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Papers citing "N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding"

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Title
Infinite hierarchical contrastive clustering for personal digital envirotyping Ya-Yun Huang Joseph McClernon Jason A. Oliver Matthew M. Engelhard 34 0 0 21 May 2025
Enhanced High-Dimensional Data Visualization through Adaptive Multi-Scale Manifold Embedding Tianhao Ni Bingjie Li Zhigang Yao 455 0 0 18 Mar 2025
Deep Clustering: A Comprehensive Survey Yazhou Ren Jingyu Pu Zhimeng Yang Jie Xu Guofeng Li X. Pu Philip S. Yu Lifang He HAI 104 112 0 09 Oct 2022
Efficient Deep Clustering of Human Activities and How to Improve Evaluation Louis Mahon Thomas Lukasiewicz HAI 48 4 0 17 Sep 2022
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks Ganqu Cui Lifan Yuan Bingxiang He Yangyi Chen Zhiyuan Liu Maosong Sun AAML ELM SILM 95 73 0 17 Jun 2022
Stacked unsupervised learning with a network architecture found by supervised meta-learning Kyle L. Luther H. S. Seung SSL 46 0 0 06 Jun 2022
DeepDPM: Deep Clustering With an Unknown Number of Clusters M. Ronen Shahaf E. Finder Oren Freifeld 78 72 0 27 Mar 2022
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive Lirong Wu Haitao Lin Zhangyang Gao Cheng Tan Stan.Z.Li SSL 91 260 0 16 May 2021
Consistent Representation Learning for High Dimensional Data Analysis Stan Z. Li Lirong Wu Z. Zang 30 7 0 01 Dec 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 90 252 0 25 Nov 2020
Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation Lirong Wu Zicheng Liu Z. Zang Jun Xia Siyuan Li Stan. Z Li 53 8 0 21 Sep 2020
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates Jeff Calder Brendan Cook Matthew Thorpe D. Slepčev 79 84 0 19 Jun 2020
Improving k-Means Clustering Performance with Disentangled Internal Representations Abien Fred Agarap A. Azcarraga DRL 33 10 0 05 Jun 2020
Multi-Modal Deep Clustering: Unsupervised Partitioning of Images Guy Shiran D. Weinshall 48 17 0 05 Dec 2019