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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
Title
Capsule Attention for Multimodal EEG-EOG Representation Learning with
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Guangyi Zhang
Ali Etemad
337
61
0
17 Dec 2019
Learning Malware Representation based on Execution Sequences
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Ting Chen
Yeali S. Sun
Meng Chang Chen
79
4
0
16 Dec 2019
Two Way Adversarial Unsupervised Word Translation
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Blaine Cole
GAN
50
0
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12 Dec 2019
Embedding Comparator: Visualizing Differences in Global Structure and
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Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small MultiplesInternational Conference on Intelligent User Interfaces (IUI), 2019
Angie Boggust
Brandon Carter
Arvind Satyanarayan
279
73
0
10 Dec 2019
Self Organizing Nebulous Growths for Robust and Incremental Data
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Self Organizing Nebulous Growths for Robust and Incremental Data VisualizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Damith A. Senanayake
Wei Wang
S. Naik
Saman K. Halgamuge
AI4TS
109
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09 Dec 2019
Mixing autoencoder with classifier: conceptual data visualization
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P. Hartono
BDL
76
13
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03 Dec 2019
Stable Visual Summaries for Trajectory Collections
Stable Visual Summaries for Trajectory CollectionsIEEE Pacific Visualization Symposium (PacificVis), 2019
Jules Wulms
J. Buchmüller
Wouter Meulemans
Kevin Verbeek
Bettina Speckmann
114
8
0
02 Dec 2019
Event detection in Colombian security Twitter news using fine-grained
  latent topic analysis
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Santiago Acevedo-Mancera
N. Parra-A
Jorge E. Camargo
Herbert Vinck-Posada
110
6
0
19 Nov 2019
Self-supervised representation learning from electroencephalography
  signals
Self-supervised representation learning from electroencephalography signalsInternational Workshop on Machine Learning for Signal Processing (MLSP), 2019
Hubert J. Banville
Isabela Albuquerque
Aapo Hyvarinen
G. Moffat
Denis A. Engemann
Alexandre Gramfort
AI4TSSSL
124
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ZiMM: a deep learning model for long term and blurry relapses with
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Yiyang Yu
Bertrand Lukacs
Emmanuel Bacry
Stéphane Gaïffas
VLMMedIm
140
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AMPL: A Data-Driven Modeling Pipeline for Drug Discovery
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Amanda J. Minnich
K. McLoughlin
Margaret J. Tse
Jason Deng
Andrew Weber
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T. Rush
Stacie Calad-Thomson
J. Brase
Jonathan E. Allen
185
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Deep Generative Models Strike Back! Improving Understanding and
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John Just
Sambuddha Ghosal
DiffMDRL
179
6
0
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Hyper-SAGNN: a self-attention based graph neural network for hypergraphs
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Ruochi Zhang
Yuesong Zou
Jian Ma
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254
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06 Nov 2019
Self-attention for raw optical Satellite Time Series Classification
Self-attention for raw optical Satellite Time Series Classification
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Marco Körner
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233
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Unsupervised Videographic Analysis of Rodent Behaviour
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Anthony Bourached
P. Nachev
127
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LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of
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LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral ImageryIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Megh Shukla
Biplab Banerjee
K. Buddhiraju
52
2
0
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Mixture-of-Experts Variational Autoencoder for Clustering and Generating
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Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell DataInternational Conference on Learning Representations (ICLR), 2019
Andreas Kopf
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158
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Would a File by Any Other Name Seem as Malicious?
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104
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Correlation of Auroral Dynamics and GNSS Scintillation with an
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G. Malhotra
Athanasios Vlontzos
E. Wagstaff
A. G. Baydin
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Y. Gal
Alfredo Kalaitzis
Anthony Reina
A. Bhatt
98
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Conditional out-of-sample generation for unpaired data using trVAE
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TriMap: Large-scale Dimensionality Reduction Using Triplets
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Capacity Preserving Mapping for High-dimensional Data Visualization
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MIC: Mining Interclass Characteristics for Improved Metric Learning
MIC: Mining Interclass Characteristics for Improved Metric LearningIEEE International Conference on Computer Vision (ICCV), 2019
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Bjorn Ommer
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25 Sep 2019
Wider Networks Learn Better Features
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87
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WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal
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Jinho Lee
Seokho Yi
Jaewoo Kang
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72
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24 Sep 2019
Representation Learning for Electronic Health Records
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DeepView: Visualizing Classification Boundaries of Deep Neural Networks
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DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction
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FAtt
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BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for
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BUDA.ART: A Multimodal Content-Based Analysis and Retrieval System for Buddha StatuesACM Multimedia (ACM MM), 2019
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Deep Prediction of Investor Interest: a Supervised Clustering Approach
Deep Prediction of Investor Interest: a Supervised Clustering ApproachAlgorithmic Finance (AF), 2019
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Unsupervised Construction of Knowledge Graphs From Text and Code
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K-Nearest Neighbor Approximation Via the Friend-of-a-Friend Principle
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Integrated Multi-omics Analysis Using Variational Autoencoders:
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Xiaoyu Zhang
Jingqing Zhang
Kai Sun
Xian Yang
Chengliang Dai
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Visualization of Very Large High-Dimensional Data Sets as Minimum
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N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an
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Giacomo Domeniconi
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Puneet Mangla
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Abhishek Sinha
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Towards Learning Universal, Regional, and Local Hydrological Behaviors
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Sepp Hochreiter
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