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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 / 2,085 papers shown
Title
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion
Shuai Xiang
Pieter M. Blok
James Burridge
Haozhou Wang
Wei Guo
103
0
0
27 Mar 2024
A Sociotechnical Framework For Addressing Stigma and Designing
  Personalized Digital Health Products
A Sociotechnical Framework For Addressing Stigma and Designing Personalized Digital Health Products
D. Paula
Daniel Juehling
Falk Uebernickel
57
0
0
26 Mar 2024
GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction
GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction
H. Barua
Kalin Stefanov
KokSheik Wong
Abhinav Dhall
Ganesh Krishnasamy
3DV
95
2
0
26 Mar 2024
Targeted Visualization of the Backbone of Encoder LLMs
Targeted Visualization of the Backbone of Encoder LLMs
Isaac Roberts
Alexander Schulz
L. Hermes
Barbara Hammer
49
0
0
26 Mar 2024
S+t-SNE -- Bringing Dimensionality Reduction to Data Streams
S+t-SNE -- Bringing Dimensionality Reduction to Data Streams
Pedro C. Vieira
Joao P. Montrezol
Joao T. Vieira
Joao Gama
3DGSAI4TS
35
0
0
26 Mar 2024
Interpretable cancer cell detection with phonon microscopy using
  multi-task conditional neural networks for inter-batch calibration
Interpretable cancer cell detection with phonon microscopy using multi-task conditional neural networks for inter-batch calibration
Yijie Zheng
Rafael Fuentes-Domínguez
M. Clark
G. Gordon
F. Pérez-Cota
21
0
0
26 Mar 2024
Compressing and Interpreting Word Embeddings with Latent Space
  Regularization and Interactive Semantics Probing
Compressing and Interpreting Word Embeddings with Latent Space Regularization and Interactive Semantics Probing
Haoyu Li
Junpeng Wang
Yan Zheng
Liang Wang
Wei Zhang
Han-Wei Shen
51
3
0
25 Mar 2024
Advancing Extrapolative Predictions of Material Properties through
  Learning to Learn
Advancing Extrapolative Predictions of Material Properties through Learning to Learn
Kohei Noda
Araki Wakiuchi
Yoshihiro Hayashi
Ryo Yoshida
AI4CE
59
0
0
25 Mar 2024
Holographic Global Convolutional Networks for Long-Range Prediction
  Tasks in Malware Detection
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
Mohammad Mahmudul Alam
Edward Raff
Stella Biderman
Tim Oates
James Holt
AAML
90
4
0
23 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for
  Neural Networks
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks
Tangjun Wang
Chenglong Bao
Zuoqiang Shi
DiffM
81
1
0
23 Mar 2024
Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks
Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks
Sudhir Sornapudi
Rajhans Singh Corteva Agriscience
SSL
79
2
0
22 Mar 2024
Distribution-informed and wavelength-flexible data-driven photoacoustic
  oximetry
Distribution-informed and wavelength-flexible data-driven photoacoustic oximetry
J. Gröhl
Kylie Yeung
Kevin Gu
Thomas R. Else
Monika A Golinska
Ellie V. Bunce
Lina Hacker
S. Bohndiek
OOD
23
3
0
21 Mar 2024
Curvature Augmented Manifold Embedding and Learning
Curvature Augmented Manifold Embedding and Learning
Yongming Liu
MedIm
224
2
0
21 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding
  Architectures
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
S. V. Dibbo
Adam Breuer
Juston S. Moore
Michael Teti
AAML
85
5
0
21 Mar 2024
Genetic Programming for Explainable Manifold Learning
Genetic Programming for Explainable Manifold Learning
Ben Cravens
Andrew Lensen
Paula Maddigan
Bing Xue
105
1
0
21 Mar 2024
A conditional latent autoregressive recurrent model for generation and
  forecasting of beam dynamics in particle accelerators
A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators
M. Rautela
Alan Williams
A. Scheinker
84
4
0
19 Mar 2024
Opti-Acoustic Semantic SLAM with Unknown Objects in Underwater
  Environments
Opti-Acoustic Semantic SLAM with Unknown Objects in Underwater Environments
Kurran Singh
Jungseok Hong
Nick Rypkema
John J. Leonard
72
2
0
19 Mar 2024
Safeguarding Marketing Research: The Generation, Identification, and
  Mitigation of AI-Fabricated Disinformation
Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation
Anirban Mukherjee
62
4
0
17 Mar 2024
3D Human Reconstruction in the Wild with Synthetic Data Using Generative
  Models
3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models
Yongtao Ge
Wenjia Wang
Yongfan Chen
Hao Chen
Chunhua Shen
3DH
72
8
0
17 Mar 2024
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification
Mahdi Alehdaghi
Pourya Shamsolmoali
Rafael M. O. Cruz
Eric Granger
103
1
0
16 Mar 2024
Large Language Model-informed ECG Dual Attention Network for Heart
  Failure Risk Prediction
Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction
Chen Chen
Lei Li
M. Beetz
Abhirup Banerjee
Ramneek Gupta
Vicente Grau
65
5
0
15 Mar 2024
CoReEcho: Continuous Representation Learning for 2D+time
  Echocardiography Analysis
CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis
F. Maani
Numan Saeed
Aleksandr Matsun
Mohammad Yaqub
SyDa
94
4
0
15 Mar 2024
Improving Medical Multi-modal Contrastive Learning with Expert
  Annotations
Improving Medical Multi-modal Contrastive Learning with Expert Annotations
Yogesh Kumar
Pekka Marttinen
MedImVLM
88
11
0
15 Mar 2024
SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification
  of Spoken Numbers in Different Languages
SpokeN-100: A Cross-Lingual Benchmarking Dataset for The Classification of Spoken Numbers in Different Languages
René Groh
Nina Goes
Andreas M. Kist
53
0
0
14 Mar 2024
McCatch: Scalable Microcluster Detection in Dimensional and
  Nondimensional Datasets
McCatch: Scalable Microcluster Detection in Dimensional and Nondimensional Datasets
Braulio V. Sánchez Vinces
Robson L. F. Cordeiro
Christos Faloutsos
46
0
0
12 Mar 2024
MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in
  Social Discussions
MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions
Vjosa Preniqi
Iacopo Ghinassi
Julia Ive
C. Saitis
Kyriaki Kalimeri
72
7
0
12 Mar 2024
Exploring Large Language Models and Hierarchical Frameworks for
  Classification of Large Unstructured Legal Documents
Exploring Large Language Models and Hierarchical Frameworks for Classification of Large Unstructured Legal Documents
Nishchal Prasad
M. Boughanem
T. Dkaki
AILawELM
84
6
0
11 Mar 2024
Pulling back symmetric Riemannian geometry for data analysis
Pulling back symmetric Riemannian geometry for data analysis
W. Diepeveen
77
3
0
11 Mar 2024
DiffRed: Dimensionality Reduction guided by stable rank
DiffRed: Dimensionality Reduction guided by stable rank
Prarabdh Shukla
Gagan Raj Gupta
Kunal Dutta
49
3
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Dynamic clustering for heterophilic stochastic block models with
  time-varying node memberships
Dynamic clustering for heterophilic stochastic block models with time-varying node memberships
Kevin Z Lin
Jing Lei
67
2
0
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Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia
  Classification
Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification
Salome Kazeminia
Max Joosten
D. Bosnacki
Carsten Marr
56
3
0
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Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
Wei-Lin Chiang
Lianmin Zheng
Ying Sheng
Anastasios Nikolas Angelopoulos
Tianle Li
...
Hao Zhang
Banghua Zhu
Michael I. Jordan
Joseph E. Gonzalez
Ion Stoica
OSLM
184
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Understanding Biology in the Age of Artificial Intelligence
Understanding Biology in the Age of Artificial Intelligence
Elsa Lawrence
Adham El-Shazly
Srijit Seal
Chaitanya K. Joshi
Pietro Lio
Shantanu Singh
Andreas Bender
Pietro Sormanni
Matthew Greenig
SyDa
42
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Media Bias Matters: Understanding the Impact of Politically Biased News
  on Vaccine Attitudes in Social Media
Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
Bohan Jiang
Lu Cheng
Zhen Tan
Ruocheng Guo
Huan Liu
67
8
0
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Probabilistic Topic Modelling with Transformer Representations
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Arik Reuter
Anton Thielmann
Christoph Weisser
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Thomas Kneib
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GPTopic: Dynamic and Interactive Topic Representations
GPTopic: Dynamic and Interactive Topic Representations
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Christoph Weisser
Sebastian Fischer
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LLMAG
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The Geometric Structure of Topic Models
The Geometric Structure of Topic Models
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Tom Hanika
74
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SalienTime: User-driven Selection of Salient Time Steps for Large-Scale
  Geospatial Data Visualization
SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization
Juntong Chen
Haiwen Huang
Huayuan Ye
Zhong Peng
Chenhui Li
Changbo Wang
88
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Density-based Isometric Mapping
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Bardia Yousefi
Mélina Khansari
Ryan Trask
Patrick Tallon
Carina Carino
...
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Lan Ma
Lei Ren
Keyvan Farahani
M. Hershman
46
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$Γ$-VAE: Curvature regularized variational autoencoders for
  uncovering emergent low dimensional geometric structure in high dimensional
  data
ΓΓΓ-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data
Jason Z. Kim
Nicolas Perrin-Gilbert
Erkan Narmanli
Paul Klein
Christopher R. Myers
Itai Cohen
J. Waterfall
James P. Sethna
DRL
38
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H. El Gamal
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FlaKat: A Machine Learning-Based Categorization Framework for Flaky
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Accelerating materials discovery for polymer solar cells: Data-driven
  insights enabled by natural language processing
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Pranav Shetty
Aishat Adeboye
Sonakshi Gupta
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R. Ramprasad
69
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Compositional API Recommendation for Library-Oriented Code Generation
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Shengnan An
Bing Xie
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Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes
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Ye Kwon Huh
Kaibo Liu
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CogBench: a large language model walks into a psychology lab
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Marcel Binz
Jane X. Wang
Eric Schulz
ELMALMLLMAGLM&MA
121
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Twists, Humps, and Pebbles: Multilingual Speech Recognition Models
  Exhibit Gender Performance Gaps
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Beatrice Savoldi
Dennis Fucci
Dirk Hovy
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Autoencoder-based General Purpose Representation Learning for Customer Embedding
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Preserving Fairness Generalization in Deepfake Detection
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Xinan He
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Xin Eric Wang
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NeuralSI: Neural Design of Semantic Interaction for Interactive Deep
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