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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
Classification of grapevine varieties using UAV hyperspectral imaging
Classification of grapevine varieties using UAV hyperspectral imaging
Alfonso López
C. Ogáyar
F. Feito-Higueruela
Joaquim Joao Sousa
21
9
0
23 Jan 2024
Interpreting Equivariant Representations
Interpreting Equivariant Representations
Andreas Abildtrup Hansen
Anna Calissano
Aasa Feragen
156
1
0
23 Jan 2024
Claim Detection for Automated Fact-checking: A Survey on Monolingual,
  Multilingual and Cross-Lingual Research
Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research
Rrubaa Panchendrarajan
A. Zubiaga
HILM
95
17
0
22 Jan 2024
TrajVis: a visual clinical decision support system to translate
  artificial intelligence trajectory models in the precision management of
  chronic kidney disease
TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease
Zuotian Li
Xiang Liu
Ziyang Tang
Pengyue Zhang
Nanxin Jin
Michael Eadon
Qianqian Song
Yingjie Chen
Jing Su
24
4
0
16 Jan 2024
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI
Marina Ruiz-Perez
Sergio Morell-Ortega
Marien Gadea
Roberto Vivó Hernando
Gregorio Rubio
F. Aparici-Robles
M. Iglesia-Vayá
T. Tourdias
Pierrick Coupé
J. V. Manjón
119
1
0
15 Jan 2024
BioDiffusion: A Versatile Diffusion Model for Biomedical Signal
  Synthesis
BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis
Xiaomin Li
Mykhailo Sakevych
G. Atkinson
V. Metsis
MedIm
70
9
0
12 Jan 2024
Deep Manifold Transformation for Protein Representation Learning
Deep Manifold Transformation for Protein Representation Learning
Bozhen Hu
Z. Zang
Cheng Tan
Stan Z. Li
109
1
0
12 Jan 2024
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding
Bozhen Hu
Z. Zang
Jun Xia
Lirong Wu
Cheng Tan
Stan Z. Li
GNN
67
2
0
12 Jan 2024
Few-Shot Detection of Machine-Generated Text using Style Representations
Few-Shot Detection of Machine-Generated Text using Style Representations
Rafael Rivera Soto
Kailin Koch
Aleem Khan
Barry Chen
M. Bishop
Nicholas Andrews
DeLMO
73
25
0
12 Jan 2024
AttributionScanner: A Visual Analytics System for Model Validation with
  Metadata-Free Slice Finding
AttributionScanner: A Visual Analytics System for Model Validation with Metadata-Free Slice Finding
Xiwei Xuan
Jorge Henrique Piazentin Ono
Liang Gou
Kwan-Liu Ma
Liu Ren
93
2
0
12 Jan 2024
Analyzing Regional Impacts of Climate Change using Natural Language
  Processing Techniques
Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques
Tanwi Mallick
John Murphy
Joshua Bergerson
Duane R. Verner
John K Hutchison
L. Levy
54
6
0
11 Jan 2024
Comparative Evaluation of Animated Scatter Plot Transitions
Comparative Evaluation of Animated Scatter Plot Transitions
Nils Rodrigues
Frederik L. Dennig
Vincent Brandt
Daniel A. Keim
Daniel Weiskopf
25
1
0
09 Jan 2024
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt
  Learning with Data-Dependent Prior
Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior
Youngjae Cho
Heesun Bae
Seungjae Shin
Yeo Dong Youn
Weonyoung Joo
Il-Chul Moon
VLM
45
6
0
09 Jan 2024
Probabilistic emotion and sentiment modelling of patient-reported
  experiences
Probabilistic emotion and sentiment modelling of patient-reported experiences
Curtis Murray
Lewis Mitchell
Simon Jonathan Tuke
Mark Mackay
52
0
0
09 Jan 2024
scDiffusion: conditional generation of high-quality single-cell data
  using diffusion model
scDiffusion: conditional generation of high-quality single-cell data using diffusion model
Erpai Luo
Minsheng Hao
Lei Wei
Xuegong Zhang
69
10
0
08 Jan 2024
The Stronger the Diffusion Model, the Easier the Backdoor: Data
  Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright Breaches Without Adjusting Finetuning Pipeline
Haonan Wang
Qianli Shen
Yao Tong
Yang Zhang
Kenji Kawaguchi
122
32
0
07 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij
Yingheng Wang
Volodymyr Kuleshov
DiffM
145
1
0
05 Jan 2024
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker
  Representations
Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations
Yejin Jeon
Yunsu Kim
Gary Geunbae Lee
75
2
0
04 Jan 2024
Incorporating Geo-Diverse Knowledge into Prompting for Increased
  Geographical Robustness in Object Recognition
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
Kyle Buettner
Sina Malakouti
Xiang Lorraine Li
Adriana Kovashka
128
3
0
03 Jan 2024
Scalable network reconstruction in subquadratic time
Scalable network reconstruction in subquadratic time
Tiago P. Peixoto
98
5
0
02 Jan 2024
Low-cost Geometry-based Eye Gaze Detection using Facial Landmarks
  Generated through Deep Learning
Low-cost Geometry-based Eye Gaze Detection using Facial Landmarks Generated through Deep Learning
Esther Enhui Ye
John Enzhou Ye
Joseph Ye
Jacob Ye
R. Ye
CVBM3DH
54
0
0
31 Dec 2023
Automatic hip osteoarthritis grading with uncertainty estimation from
  computed tomography using digitally-reconstructed radiographs
Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs
Masachika Masuda
Mazen Soufi
Yoshito Otake
Keisuke Uemura
Sotaro Kono
...
Yi Gu
Masaki Takao
Seiji Okada
Nobuhiko Sugano
Yoshinobu Sato
OOD
66
5
0
30 Dec 2023
Break Out of a Pigeonhole: A Unified Framework for Examining
  Miscalibration, Bias, and Stereotype in Recommender Systems
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems
Yongsu Ahn
Yu-Ru Lin
CML
59
3
0
29 Dec 2023
Automatic Scoring of Cognition Drawings: Assessing the Quality of
  Machine-Based Scores Against a Gold Standard
Automatic Scoring of Cognition Drawings: Assessing the Quality of Machine-Based Scores Against a Gold Standard
Arne Bethmann
Marina Aoki
Charlotte Hunsicker
Claudia Weileder
54
0
0
28 Dec 2023
emotion2vec: Self-Supervised Pre-Training for Speech Emotion
  Representation
emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
Ziyang Ma
Zhisheng Zheng
Jiaxin Ye
Jinchao Li
Zhifu Gao
Shiliang Zhang
Xie Chen
MDESLRSSL
87
114
0
23 Dec 2023
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection
  in Online Credit Card Payments
Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments
Hugo Thimonier
Fabrice Popineau
Arpad Rimmel
Bich-Liên Doan
Fabrice Daniel
64
10
0
21 Dec 2023
Augment on Manifold: Mixup Regularization with UMAP
Augment on Manifold: Mixup Regularization with UMAP
Yousef El-Laham
Elizabeth Fons
Dillon Daudert
Svitlana Vyetrenko
68
4
0
20 Dec 2023
AdvST: Revisiting Data Augmentations for Single Domain Generalization
AdvST: Revisiting Data Augmentations for Single Domain Generalization
Guangtao Zheng
Mengdi Huai
Aidong Zhang
109
20
0
20 Dec 2023
Convergence Visualizer of Decentralized Federated Distillation with
  Reduced Communication Costs
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs
Akihito Taya
Yuuki Nishiyama
K. Sezaki
FedML
42
0
0
19 Dec 2023
Beyond Prototypes: Semantic Anchor Regularization for Better
  Representation Learning
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
Yanqi Ge
Qiang Nie
Ye Huang
Yong-Jin Liu
Chengjie Wang
Feng Zheng
Wen Li
Lixin Duan
CLL
75
10
0
19 Dec 2023
Learning to Act without Actions
Learning to Act without Actions
Dominik Schmidt
Minqi Jiang
OffRL
137
38
0
17 Dec 2023
Exploring UMAP in hybrid models of entropy-based and representativeness
  sampling for active learning in biomedical segmentation
Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation
Hai Siong Tan
Kuancheng Wang
R. Mcbeth
76
3
0
16 Dec 2023
Event-Based Contrastive Learning for Medical Time Series
Event-Based Contrastive Learning for Medical Time Series
Hyewon Jeong
Nassim Oufattole
Matthew B. A. McDermott
Aparna Balagopalan
P. Chandak
Marzyeh Ghassemi
Collin M. Stultz
91
6
0
16 Dec 2023
A novel dual-stream time-frequency contrastive pretext tasks framework
  for sleep stage classification
A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification
Sergio Kazatzidis
S. Mehrkanoon
AI4TS
99
1
0
15 Dec 2023
Topic Bias in Emotion Classification
Topic Bias in Emotion Classification
Maximilian Wegge
Roman Klinger
CVBM
35
0
0
14 Dec 2023
Unbiased organism-agnostic and highly sensitive signal peptide predictor
  with deep protein language model
Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model
Junbo Shen
Qinze Yu
Shen-Xue Chen
Qingxiong Tan
Jing-Chao Li
Yu Li
46
8
0
14 Dec 2023
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for
  Open-Vocabulary Object Detection
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection
Joonhyun Jeong
Geondo Park
Jayeon Yoo
Hyungsik Jung
Heesu Kim
VLMObjD
92
11
0
12 Dec 2023
LLMs Perform Poorly at Concept Extraction in Cyber-security Research
  Literature
LLMs Perform Poorly at Concept Extraction in Cyber-security Research Literature
Maxime Wursch
Andrei Kucharavy
Dimitri Percia David
Alain Mermoud
76
6
0
12 Dec 2023
Predictive variational autoencoder for learning robust representations
  of time-series data
Predictive variational autoencoder for learning robust representations of time-series data
Julia Huiming Wang
Dexter Tsin
Tatiana Engel
CMLOODAI4TS
86
2
0
12 Dec 2023
Information theory for data-driven model reduction in physics and
  biology
Information theory for data-driven model reduction in physics and biology
Matthew S. Schmitt
Maciej Koch-Janusz
Michel Fruchart
Daniel S. Seara
Michael Rust
Vincenzo Vitelli
85
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0
11 Dec 2023
From Text to Motion: Grounding GPT-4 in a Humanoid Robot "Alter3"
From Text to Motion: Grounding GPT-4 in a Humanoid Robot "Alter3"
Takahide Yoshida
A. Masumori
Takashi Ikegami
67
18
0
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Unsupervised KPIs-Based Clustering of Jobs in HPC Data Centers
Unsupervised KPIs-Based Clustering of Jobs in HPC Data Centers
Mohamed Soliman Halawa
R. Redondo
Ana Fernández Vilas
50
10
0
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Labrador: Exploring the Limits of Masked Language Modeling for
  Laboratory Data
Labrador: Exploring the Limits of Masked Language Modeling for Laboratory Data
David R. Bellamy
Bhawesh Kumar
Cindy Wang
Andrew L. Beam
MedIm
59
3
0
09 Dec 2023
Language-assisted Vision Model Debugger: A Sample-Free Approach to
  Finding and Fixing Bugs
Language-assisted Vision Model Debugger: A Sample-Free Approach to Finding and Fixing Bugs
Chaoquan Jiang
Jinqiang Wang
Rui Hu
Jitao Sang
62
0
0
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CODEX: A Cluster-Based Method for Explainable Reinforcement Learning
CODEX: A Cluster-Based Method for Explainable Reinforcement Learning
Timothy K. Mathes
Jessica Inman
Andrés Colón
Simon Khan
OffRL
40
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0
07 Dec 2023
k* Distribution: Evaluating the Latent Space of Deep Neural Networks
  using Local Neighborhood Analysis
k* Distribution: Evaluating the Latent Space of Deep Neural Networks using Local Neighborhood Analysis
Shashank Kotyan
Tatsuya Ueda
Danilo Vasconcellos Vargas
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Sig-Networks Toolkit: Signature Networks for Longitudinal Language
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Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling
Talia Tseriotou
Ryan Sze-Yin Chan
Adam Tsakalidis
I. Bilal
E. Kochkina
Terry Lyons
Maria Liakata
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Calibrating dimension reduction hyperparameters in the presence of noise
Calibrating dimension reduction hyperparameters in the presence of noise
Justin Lin
Julia Fukuyama
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Towards the Inferrence of Structural Similarity of Combinatorial
  Landscapes
Towards the Inferrence of Structural Similarity of Combinatorial Landscapes
Mingyu Huang
Ke Li
67
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GeNIe: Generative Hard Negative Images Through Diffusion
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Anuj Singh
K. Navaneet
Hadi Jamali Rad
Hamed Pirsiavash
VLMDiffM
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