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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
Unsupervised Sentence-embeddings by Manifold Approximation and
  Projection
Unsupervised Sentence-embeddings by Manifold Approximation and Projection
Subhradeep Kayal
40
6
0
07 Feb 2021
baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal
  Modeling
baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling
Michael A. Alcorn
Anh Totti Nguyen
67
19
0
05 Feb 2021
OmiEmbed: a unified multi-task deep learning framework for multi-omics
  data
OmiEmbed: a unified multi-task deep learning framework for multi-omics data
Xiaoyu Zhang
Yuting Xing
Kai Sun
Yike Guo
138
65
0
03 Feb 2021
Introduction of a novel word embedding approach based on technology
  labels extracted from patent data
Introduction of a novel word embedding approach based on technology labels extracted from patent data
M. Standke
Abdullah Kiwan
Annalena Lange
Silvan Berg
18
0
0
31 Jan 2021
From Geometry to Topology: Inverse Theorems for Distributed Persistence
From Geometry to Topology: Inverse Theorems for Distributed Persistence
Elchanan Solomon
Alexander Wagner
Paul Bendich
56
24
0
28 Jan 2021
Improving Neural Network Robustness through Neighborhood Preserving
  Layers
Improving Neural Network Robustness through Neighborhood Preserving Layers
Bingyuan Liu
Christopher Malon
Lingzhou Xue
E. Kruus
AAML
37
5
0
28 Jan 2021
LDLE: Low Distortion Local Eigenmaps
LDLE: Low Distortion Local Eigenmaps
Dhruv Kohli
A. Cloninger
Zhengchao Wan
109
18
0
26 Jan 2021
Prototypical Pseudo Label Denoising and Target Structure Learning for
  Domain Adaptive Semantic Segmentation
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Yong Wang
Fang Wen
182
499
0
26 Jan 2021
Contrastive analysis for scatterplot-based representations of
  dimensionality reduction
Contrastive analysis for scatterplot-based representations of dimensionality reduction
Wilson E. Marcílio-Jr
D. M. Eler
Rogério E. Garcia
46
14
0
26 Jan 2021
Deep learning based mixed-dimensional GMM for characterizing variability
  in CryoEM
Deep learning based mixed-dimensional GMM for characterizing variability in CryoEM
Muyuan Chen
S. Ludtke
BDL
46
97
0
25 Jan 2021
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold
  Embeddings
ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings
Blaž Škrlj
Jannis Brugger
Nada Lavrac
Matej Petković
60
5
0
23 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot
  Learning
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
Yizhao Gao
Nanyi Fei
Guangzhen Liu
Zhiwu Lu
Tao Xiang
Songfang Huang
104
37
0
23 Jan 2021
Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data
  Practices to Promote Unorthodox Science Online
Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online
Crystal Lee
Tanya Yang
Gabrielle Inchoco
Graham M. Jones
Arvind Satyanarayan
58
156
0
20 Jan 2021
Multi-point dimensionality reduction to improve projection layout
  reliability
Multi-point dimensionality reduction to improve projection layout reliability
Farshad Barahimi
3DV
31
0
0
15 Jan 2021
Directed Diversity: Leveraging Language Embedding Distances for
  Collective Creativity in Crowd Ideation
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation
Samuel Rhys Cox
Yunlong Wang
Ashraf Abdul
Christian von der Weth
Brian Y. Lim
65
36
0
15 Jan 2021
Contrastive Behavioral Similarity Embeddings for Generalization in
  Reinforcement Learning
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
Rishabh Agarwal
Marlos C. Machado
Pablo Samuel Castro
Marc G. Bellemare
OffRL
124
168
0
13 Jan 2021
Rethinking Interactive Image Segmentation: Feature Space Annotation
Rethinking Interactive Image Segmentation: Feature Space Annotation
Jordão Bragantini
A. X. Falcão
Laurent Najman
54
7
0
12 Jan 2021
Residual networks classify inputs based on their neural transient
  dynamics
Residual networks classify inputs based on their neural transient dynamics
F. Lagzi
51
0
0
08 Jan 2021
The joint role of geometry and illumination on material recognition
The joint role of geometry and illumination on material recognition
Manuel Lagunas
Ana Serrano
Diego F. F. Gutierrez
B. Masiá
74
18
0
07 Jan 2021
LAEO-Net++: revisiting people Looking At Each Other in videos
LAEO-Net++: revisiting people Looking At Each Other in videos
M. Marín-Jiménez
Vicky Kalogeiton
Pablo Medina-Suarez
Andrew Zisserman
34
1
0
06 Jan 2021
Domain Adaptation for the Segmentation of Confidential Medical Images
Domain Adaptation for the Segmentation of Confidential Medical Images
Serban Stan
Mohammad Rostami
OOD
109
14
0
02 Jan 2021
Learning the Predictability of the Future
Learning the Predictability of the Future
Dídac Surís
Ruoshi Liu
Carl Vondrick
84
74
0
01 Jan 2021
Controlled Analyses of Social Biases in Wikipedia Bios
Controlled Analyses of Social Biases in Wikipedia Bios
Anjalie Field
Chan Young Park
Kevin Z. Lin
Yulia Tsvetkov
81
26
0
31 Dec 2020
Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction
Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction
Moritz Herrmann
Fabian Scheipl
26
6
0
22 Dec 2020
Learn molecular representations from large-scale unlabeled molecules for
  drug discovery
Learn molecular representations from large-scale unlabeled molecules for drug discovery
Pengyong Li
Jun Wang
Yixuan Qiao
Hao Chen
Yihuan Yu
Xiaojun Yao
Peng Gao
Guotong Xie
Sen Song
GNN
64
30
0
21 Dec 2020
Neural Network Embeddings for Test Case Prioritization
Neural Network Embeddings for Test Case Prioritization
J. Lousada
Miguel Ribeiro
13
6
0
18 Dec 2020
Instance Space Analysis for the Car Sequencing Problem
Instance Space Analysis for the Car Sequencing Problem
Yuan Sun
Samuel Esler
D. Thiruvady
Andreas T. Ernst
Xiaodong Li
K. Morgan
32
3
0
18 Dec 2020
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head
  Using Artificial Intelligence
Describing the Structural Phenotype of the Glaucomatous Optic Nerve Head Using Artificial Intelligence
S. Panda
Haris Cheong
T. A. Tun
Sripad K. Devella
R. Krishnadas
...
S. Perera
Ching-Yu Cheng
Tin Aung
Alexandre Hoang Thiery
M. Girard
73
32
0
17 Dec 2020
Learning Prediction Intervals for Model Performance
Learning Prediction Intervals for Model Performance
Benjamin Elder
Matthew Arnold
Anupama Murthi
Jirí Navrátil
75
12
0
15 Dec 2020
Accelerating high-throughput virtual screening through molecular
  pool-based active learning
Accelerating high-throughput virtual screening through molecular pool-based active learning
David E. Graff
E. Shakhnovich
Connor W. Coley
127
147
0
13 Dec 2020
Context Matters: Graph-based Self-supervised Representation Learning for
  Medical Images
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
Li Sun
Ke Yu
Kayhan Batmanghelich
SSL
90
24
0
11 Dec 2020
Generating semantic maps through multidimensional scaling: linguistic
  applications and theory
Generating semantic maps through multidimensional scaling: linguistic applications and theory
Martijn van der Klis
J. Tellings
23
14
0
09 Dec 2020
Methodology for Mining, Discovering and Analyzing Semantic Human
  Mobility Behaviors
Methodology for Mining, Discovering and Analyzing Semantic Human Mobility Behaviors
Clément Moreau
T. Devogele
Laurent Étienne
Verónika Peralta
Cyril de Runz
21
1
0
08 Dec 2020
ODFNet: Using orientation distribution functions to characterize 3D
  point clouds
ODFNet: Using orientation distribution functions to characterize 3D point clouds
Y. Sahin
Alican Mertan
Gözde B. Ünal
3DPC
112
7
0
08 Dec 2020
Discovering key topics from short, real-world medical inquiries via
  natural language processing and unsupervised learning
Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning
Angelo Ziletti
Christoph Berns
Oliver Treichel
Thomas Weber
Jennifer J. Liang
...
Marion Schwaerzler
J. Virayah
D. Ruau
Xin Ma
Andreas Mattern
36
0
0
08 Dec 2020
Understanding How Dimension Reduction Tools Work: An Empirical Approach
  to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Yingfan Wang
Haiyang Huang
Cynthia Rudin
Yaron Shaposhnik
279
317
0
08 Dec 2020
COVIDScholar: An automated COVID-19 research aggregation and analysis
  platform
COVIDScholar: An automated COVID-19 research aggregation and analysis platform
Amalie Trewartha
John Dagdelen
Haoyan Huo
Kevin Cruse
Zheren Wang
...
Akshay Subramanian
Yuxing Fei
Benjamin Justus
Kristin A. Persson
Gerbrand Ceder
75
20
0
07 Dec 2020
Joint Optimization of an Autoencoder for Clustering and Embedding
Joint Optimization of an Autoencoder for Clustering and Embedding
Ahcène Boubekki
Michael C. Kampffmeyer
Robert Jenssen
Ulf Brefeld
DRL
55
16
0
07 Dec 2020
A journey in ESN and LSTM visualisations on a language task
A journey in ESN and LSTM visualisations on a language task
Alexandre Variengien
X. Hinaut
128
9
0
03 Dec 2020
Triplet Entropy Loss: Improving The Generalisation of Short Speech
  Language Identification Systems
Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems
Ruan van der Merwe
71
8
0
03 Dec 2020
Generating private data with user customization
Generating private data with user customization
Xiao Chen
Thomas Navidi
Ram Rajagopal
63
2
0
02 Dec 2020
VisEvol: Visual Analytics to Support Hyperparameter Search through
  Evolutionary Optimization
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
Angelos Chatzimparmpas
Rafael M. Martins
Kostiantyn Kucher
Andreas Kerren
80
21
0
02 Dec 2020
q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor
  Embedding
q-SNE: Visualizing Data using q-Gaussian Distributed Stochastic Neighbor Embedding
Motoshi Abe
J. Miyao
Takio Kurita
10
3
0
02 Dec 2020
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Thomas Diggelmann
Jordan L. Boyd-Graber
Jannis Bulian
Massimiliano Ciaramita
Markus Leippold
101
207
0
01 Dec 2020
Consistent Representation Learning for High Dimensional Data Analysis
Consistent Representation Learning for High Dimensional Data Analysis
Stan Z. Li
Lirong Wu
Z. Zang
38
7
0
01 Dec 2020
Manipulating Medical Image Translation with Manifold Disentanglement
Manipulating Medical Image Translation with Manifold Disentanglement
Siyu Liu
Jason Dowling
C. Engstrom
P. Greer
Stuart Crozier
Shekhar S. Chandra
MedIm
70
8
0
27 Nov 2020
t-EVA: Time-Efficient t-SNE Video Annotation
t-EVA: Time-Efficient t-SNE Video Annotation
Soroosh Poorgholi
O. Kayhan
Jan van Gemert
45
5
0
26 Nov 2020
A Visual Analytics Approach for Hardware System Monitoring with
  Streaming Functional Data Analysis
A Visual Analytics Approach for Hardware System Monitoring with Streaming Functional Data Analysis
Fnu Shilpika
Takanori Fujiwara
Naohisa Sakamoto
J. Nonaka
K. Ma
98
10
0
26 Nov 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained
  Classification Problems
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
CellSegmenter: unsupervised representation learning and instance
  segmentation of modular images
CellSegmenter: unsupervised representation learning and instance segmentation of modular images
L. DÁlessio
M. Babadi
15
1
0
25 Nov 2020
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