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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
The Language Interpretability Tool: Extensible, Interactive
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The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
Ian Tenney
James Wexler
Jasmijn Bastings
Tolga Bolukbasi
Andy Coenen
...
Ellen Jiang
Mahima Pushkarna
Carey Radebaugh
Emily Reif
Ann Yuan
VLM
130
196
0
12 Aug 2020
Measures of Complexity for Large Scale Image Datasets
Measures of Complexity for Large Scale Image Datasets
Ameet Rahane
A. Subramanian
48
21
0
10 Aug 2020
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques,
  Application Scenarios, and Datasets
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets
Pedro Miguel Sánchez Sánchez
José María Jorquera Valero
Alberto Huertas Celdrán
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
65
98
0
07 Aug 2020
Alert Classification for the ALeRCE Broker System: The Real-time Stamp
  Classifier
Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier
R. Carrasco-Davis
E. Reyes
C. Valenzuela
F. Förster
P. Estévez
...
C. Sepúlveda-Cobo
Ashish Mahabal
J. Silva-Farfán
Ernesto Camacho-Iñiquez
L. Galbany
48
35
0
07 Aug 2020
TOAD-GAN: Coherent Style Level Generation from a Single Example
TOAD-GAN: Coherent Style Level Generation from a Single Example
Maren Awiszus
Frederik Schubert
Bodo Rosenhahn
GAN
89
38
0
04 Aug 2020
Learning Interpretable Microscopic Features of Tumor by Multi-task
  Adversarial CNNs To Improve Generalization
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization
Mara Graziani
Sebastian Otalora
Stephane Marchand-Maillet
Henning Muller
Vincent Andrearczyk
AAMLMedIm
42
0
0
04 Aug 2020
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data
  with Dimensionality Reduction
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction
Takanori Fujiwara
Shilpika Shilpika
Naohisa Sakamoto
J. Nonaka
Keiji Yamamoto
K. Ma
AI4TS
90
38
0
02 Aug 2020
Bringing UMAP Closer to the Speed of Light with GPU Acceleration
Bringing UMAP Closer to the Speed of Light with GPU Acceleration
Corey J. Nolet
V. Lafargue
Edward Raff
Thejaswi Nanditale
Tim Oates
John Zedlewski
Joshua Patterson
95
35
0
01 Aug 2020
Uncovering the structure of clinical EEG signals with self-supervised
  learning
Uncovering the structure of clinical EEG signals with self-supervised learning
Hubert J. Banville
O. Chehab
Aapo Hyvarinen
Denis A. Engemann
Alexandre Gramfort
94
199
0
31 Jul 2020
Geometric All-Way Boolean Tensor Decomposition
Geometric All-Way Boolean Tensor Decomposition
Changlin Wan
Wennan Chang
Tong Zhao
Sha Cao
Fangqiu Yi
31
3
0
31 Jul 2020
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party
  Visualization
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization
Jiazhi Xia
Tianxiang Chen
Lei Zhang
Wei Chen
Yang Chen
X. Zhang
C. Xie
Tobias Schreck
107
11
0
30 Jul 2020
Instance Selection for GANs
Instance Selection for GANs
Terrance Devries
M. Drozdzal
Graham W. Taylor
72
41
0
30 Jul 2020
Semi-Automatic Data Annotation guided by Feature Space Projection
Semi-Automatic Data Annotation guided by Feature Space Projection
B. C. Benato
J. Gomes
A. Telea
A. X. Falcão
57
42
0
27 Jul 2020
Towards Game Design via Creative Machine Learning (GDCML)
Towards Game Design via Creative Machine Learning (GDCML)
Anurag Sarkar
Seth Cooper
AI4CE
72
21
0
25 Jul 2020
Scaling Graph Clustering with Distributed Sketches
Scaling Graph Clustering with Distributed Sketches
Benjamin W. Priest
Alec M. Dunton
Geoffrey Sanders
14
2
0
24 Jul 2020
Self-similarity Student for Partial Label Histopathology Image
  Segmentation
Self-similarity Student for Partial Label Histopathology Image Segmentation
Hsien-Tzu Cheng
Chun-Fu Yeh
Po-Chen Kuo
Andy Wei
Keng-Chi Liu
Mong-Chi Ko
Kuan-Hua Chao
Yu-Ching Peng
Tyng-Luh Liu
115
20
0
19 Jul 2020
Attraction-Repulsion Spectrum in Neighbor Embeddings
Attraction-Repulsion Spectrum in Neighbor Embeddings
Jan Niklas Böhm
Philipp Berens
D. Kobak
104
54
0
17 Jul 2020
Visualizing the Finer Cluster Structure of Large-Scale and
  High-Dimensional Data
Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data
Yuefeng Liang
A. Chaudhuri
Haoyu Wang
51
0
0
17 Jul 2020
Extendable and invertible manifold learning with geometry regularized
  autoencoders
Extendable and invertible manifold learning with geometry regularized autoencoders
Andres F. Duque
Sacha Morin
Guy Wolf
Kevin R. Moon
88
24
0
14 Jul 2020
Batch-Incremental Triplet Sampling for Training Triplet Networks Using
  Bayesian Updating Theorem
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem
Milad Sikaroudi
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
H. R. Tizhoosh
32
3
0
10 Jul 2020
To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate
  Speech Detection
To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection
Kristian Miok
Blaž Škrlj
D. Zaharie
Marko Robnik-Šikonja
65
43
0
10 Jul 2020
Manifold Learning via Manifold Deflation
Manifold Learning via Manifold Deflation
Daniel Ting
Michael I. Jordan
11
3
0
07 Jul 2020
Domain Adaptation for Robust Workload Level Alignment Between Sessions
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Domain Adaptation for Robust Workload Level Alignment Between Sessions and Subjects using fNIRS
Boyang Lyu
Thao Pham
Giles Blaney
Z. Haga
A. Sassaroli
S. Fantini
Shuchin Aeron
21
20
0
02 Jul 2020
E3-targetPred: Prediction of E3-Target Proteins Using Deep Latent Space
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E3-targetPred: Prediction of E3-Target Proteins Using Deep Latent Space Encoding
Seongyong Park
Shujaat Khan
Abdul Wahab
23
5
0
26 Jun 2020
Recurrent Quantum Neural Networks
Recurrent Quantum Neural Networks
Johannes Bausch
81
155
0
25 Jun 2020
Time-varying Graph Representation Learning via Higher-Order Skip-Gram
  with Negative Sampling
Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling
Simone Piaggesi
Andre' Panisson
47
2
0
25 Jun 2020
Extracting the main trend in a dataset: the Sequencer algorithm
Extracting the main trend in a dataset: the Sequencer algorithm
D. Baron
B. Ménard
13
14
0
24 Jun 2020
Large image datasets: A pyrrhic win for computer vision?
Large image datasets: A pyrrhic win for computer vision?
Vinay Uday Prabhu
Abeba Birhane
118
367
0
24 Jun 2020
Likelihood-Free Gaussian Process for Regression
Yuta Shikuri
39
0
0
24 Jun 2020
Self-supervised edge features for improved Graph Neural Network training
Self-supervised edge features for improved Graph Neural Network training
Arijit Sehanobish
N. Ravindra
David van Dijk
SSL
87
6
0
23 Jun 2020
Rescaling Egocentric Vision
Rescaling Egocentric Vision
Dima Damen
Hazel Doughty
G. Farinella
Antonino Furnari
Evangelos Kazakos
...
Davide Moltisanti
Jonathan Munro
Toby Perrett
Will Price
Michael Wray
EgoV
163
469
0
23 Jun 2020
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using
  Self-supervised Edge Features and Graph Neural Networks
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks
Arijit Sehanobish
N. Ravindra
David van Dijk
SSL
45
16
0
23 Jun 2020
Projective Latent Interventions for Understanding and Fine-tuning
  Classifiers
Projective Latent Interventions for Understanding and Fine-tuning Classifiers
A. Hinterreiter
M. Streit
Bernhard Kainz
BDL
43
5
0
23 Jun 2020
Counterfactual Explanations of Concept Drift
Counterfactual Explanations of Concept Drift
Fabian Hinder
Barbara Hammer
33
8
0
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RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image
  Classification
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification
Jingtian Peng
Chang Xiao
Yifan Li
95
45
0
22 Jun 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen
Paul Morrison
Lan Dao
Karsten Roth
T. Duong
Marzyeh Ghassemi
106
780
0
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Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
Martin Jørgensen
Søren Hauberg
27
7
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Learning aligned embeddings for semi-supervised word translation using
  Maximum Mean Discrepancy
Learning aligned embeddings for semi-supervised word translation using Maximum Mean Discrepancy
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David van Dijk
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Quantile-Quantile Embedding for Distribution Transformation and Manifold
  Embedding with Ability to Choose the Embedding Distribution
Quantile-Quantile Embedding for Distribution Transformation and Manifold Embedding with Ability to Choose the Embedding Distribution
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
36
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0
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An Investigation of the Weight Space to Monitor the Training Progress of
  Neural Networks
An Investigation of the Weight Space to Monitor the Training Progress of Neural Networks
Konstantin Schurholt
Damian Borth
94
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MMCGAN: Generative Adversarial Network with Explicit Manifold Prior
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Jitao Sang
Changsheng Xu
GAN
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1
0
18 Jun 2020
On the Learnability of Concepts: With Applications to Comparing Word
  Embedding Algorithms
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms
Adam Sutton
N. Cristianini
54
8
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Isometric Autoencoders
Isometric Autoencoders
Amos Gropp
Matan Atzmon
Y. Lipman
DRL
65
18
0
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Supervised Visualization for Data Exploration
Supervised Visualization for Data Exploration
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Adele Cutler
Guy Wolf
Kevin R. Moon
14
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Zelin Zhang
Lirong Wu
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CPR: Classifier-Projection Regularization for Continual Learning
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Hsiang Hsu
Taebaek Hwang
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Taesup Moon
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77
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0
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Interpretable Visualizations with Differentiating Embedding Networks
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Isaac Robinson
DRL
30
3
0
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PeopleMap: Visualization Tool for Mapping Out Researchers using Natural
  Language Processing
PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing
Jon Saad-Falcon
Omar Shaikh
Zijie J. Wang
Austin P. Wright
S. Richardson
Duen Horng Chau
21
2
0
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Manifold structure in graph embeddings
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Patrick Rubin-Delanchy
75
25
0
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Evaluation of Similarity-based Explanations
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Sho Yokoi
Satoshi Hara
Kentaro Inui
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