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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 / 2,086 papers shown
Title
Now You See It, Now You Dont: Adversarial Vulnerabilities in
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Amina Asif
A. Azam
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A News-based Machine Learning Model for Adaptive Asset Pricing
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13 Jun 2021
Category Theory in Machine Learning
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Bruno Gavranović
Paul W. Wilson
60
31
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Visualization Techniques to Enhance Automated Event Extraction
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Sophia Henn
Abigail Sticha
Tim Burley
E. Verdeja
Paul Brenner
18
2
0
11 Jun 2021
A deep learning approach to clustering visual arts
A deep learning approach to clustering visual arts
Giovanna Castellano
G. Vessio
72
14
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11 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in
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Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
Liangqiong Qu
Yuyin Zhou
Paul Pu Liang
Yingda Xia
Feifei Wang
Ehsan Adeli
L. Fei-Fei
D. Rubin
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114
186
0
10 Jun 2021
Towards an Automated Pipeline for Detecting and Classifying Malware
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Towards an Automated Pipeline for Detecting and Classifying Malware through Machine Learning
Nicola Loi
Claudio Borile
Daniele Ucci
50
15
0
10 Jun 2021
Separating Boundary Points via Structural Regularization for Very
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Separating Boundary Points via Structural Regularization for Very Compact Clusters
Xin Ma
Won Hwa Kim
19
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Inverse design of two-dimensional materials with invertible neural
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Inverse design of two-dimensional materials with invertible neural networks
Victor Fung
Jiaxin Zhang
Guoxiang Hu
P. Ganesh
B. Sumpter
71
42
0
06 Jun 2021
A Subspace-based Approach for Dimensionality Reduction and Important
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A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection
Didi Bo
Hoon Hwangbo
Vinit Sharma
C. Arndt
S. TerMaath
114
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0
03 Jun 2021
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Advait Rane
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Matrix factorisation and the interpretation of geodesic distance
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Patrick Rubin-Delanchy
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P. Munro
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Video-rate multispectral imaging in laparoscopic surgery: First-in-human
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Leonardo Ayala
Sebastian J. Wirkert
A. Vemuri
T. Adler
Silvia Seidlitz
Sebastian Pirmann
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64
25
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Local Latent Representation based on Geometric Convolution for Particle
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Haoyu Li
Han-Wei Shen
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XOmiVAE: an interpretable deep learning model for cancer classification
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78
67
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One4all User Representation for Recommender Systems in E-commerce
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64
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86
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DumbleDR: Predicting User Preferences of Dimensionality Reduction
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Divided We Rule: Influencer Polarization on Twitter During Political Crises in India
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Daniel Smith
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...
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Wei Guo
70
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Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised
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Aditi Mishra
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PEMNET: A Transfer Learning-based Modeling Approach of High-Temperature
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Contrastive Learning and Self-Training for Unsupervised Domain
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Novelty Detection and Analysis of Traffic Scenario Infrastructures in
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Estimating the electrical power output of industrial devices with
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Latent Factor Decomposition Model: Applications for Questionnaire Data
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Unsupervised Deep Manifold Attributed Graph Embedding
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A Review of the State-of-the-Art on Tours for Dynamic Visualization of
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Is Everything in Order? A Simple Way to Order Sentences
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Neural population geometry: An approach for understanding biological and
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Incremental Multi-Target Domain Adaptation for Object Detection with
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M. Kiran
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GPU Semiring Primitives for Sparse Neighborhood Methods
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