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UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
v1v2v3 (latest)

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

9 February 2018
Leland McInnes
John Healy
James Melville
ArXiv (abs)PDFHTML

Papers citing "UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction"

50 / 2,414 papers shown
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A Fully Tensorized Recurrent Neural Network
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Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders
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Ilya Feige
David Barber
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Deep Representation Learning of Patient Data from Electronic Health
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Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si
Jingcheng Du
Zhao Li
Xiaoqian Jiang
T. Miller
Fei Wang
W. J. Zheng
Kirk Roberts
OOD
166
196
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06 Oct 2020
Generative Model-Enhanced Human Motion Prediction
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Facilitate the Parametric Dimension Reduction by Gradient Clipping
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Chien-Hsun Lai
Yu-Shuen Wang
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30 Sep 2020
Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction
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Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network
Xing Wang
Yijun Wang
Bin Weng
Aleksandr Vinel
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153
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RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene
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RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification
Haifeng Li
Zhenqi Cui
Zhiqiang Zhu
Lixing Chen
Jiawei Zhu
Haozhe Huang
Chao Tao
152
102
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Parametric UMAP embeddings for representation and semi-supervised
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Parametric UMAP embeddings for representation and semi-supervised learningNeural Computation (Neural Comput.), 2020
Tim Sainburg
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T. Gentner
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293
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Andy Lomas
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Generalized Clustering and Multi-Manifold Learning with Geometric
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Zicheng Liu
Z. Zang
Jun Xia
Siyuan Li
Stan. Z Li
163
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M. Damiani
Andrea Acquaviva
F. Hachem
M. Rossini
78
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KNN-DBSCAN: a DBSCAN in high dimensions
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William Ruys
George Biros
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162
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The Language Interpretability Tool: Extensible, Interactive
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James Wexler
Jasmijn Bastings
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