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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
Out-of-Distribution Detection using Synthetic Data Generation
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
174
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When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks
When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks
Felix Drinkall
J. Pierrehumbert
Stefan Zohren
157
0
0
04 Feb 2025
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning
Jiaxin Guo
Cheng Chen
Shuzhen Li
Tianze Zhang
144
0
0
01 Feb 2025
Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths
Yueyang Wang
Kejun Tang
Xili Wang
Xiaoliang Wan
Weiqing Ren
Chao Yang
111
0
0
28 Jan 2025
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
Zahra Gharaee
Scott C. Lowe
ZeMing Gong
Pablo Millán Arias
Nicholas Pellegrino
...
Lila Kari
Dirk Steinke
Graham W. Taylor
Paul Fieguth
Angel X. Chang
134
11
0
28 Jan 2025
Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation
Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation
Ivan Lopez
Fateme Nateghi Haredasht
Kaitlin Caoili
Jonathan H. Chen
Akshay S. Chaudhari
MedImSyDa
197
0
0
28 Jan 2025
Multi-Tiered Self-Contrastive Learning for Medical Microwave Radiometry (MWR) Breast Cancer Detection
Multi-Tiered Self-Contrastive Learning for Medical Microwave Radiometry (MWR) Breast Cancer Detection
C. Galazis
Huiyi Wu
Igor Goryanin
82
0
0
28 Jan 2025
Time Series Embedding Methods for Classification Tasks: A Review
Time Series Embedding Methods for Classification Tasks: A Review
Habib Irani
Yasamin Ghahremani
Arshia Kermani
Vangelis Metsis
AI4TS
190
0
0
23 Jan 2025
Manifold learning and optimization using tangent space proxies
Manifold learning and optimization using tangent space proxies
Ryan A. Robinett
Lorenzo Orecchia
Samantha J. Riesenfeld
69
0
0
22 Jan 2025
Improving Fine-Tuning with Latent Cluster Correction
Improving Fine-Tuning with Latent Cluster Correction
Cédric Ho Thanh
59
0
0
21 Jan 2025
Self-supervised Transformation Learning for Equivariant Representations
Self-supervised Transformation Learning for Equivariant Representations
Jaemyung Yu
Jaehyun Choi
Dong-Jae Lee
H. Hong
Junmo Kim
90
1
0
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ARES: Auxiliary Range Expansion for Outlier Synthesis
ARES: Auxiliary Range Expansion for Outlier Synthesis
Eui-Soo Jung
Hae-Hun Seo
Hyun-Woo Jung
Je-Geon Oh
Yoon-Yeong Kim
OODD
126
0
0
11 Jan 2025
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios
Marko Tuononen
Dani Korpi
Ville Hautamäki
FAtt
104
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0
10 Jan 2025
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
Hongxin Zhi
Hongtao Yu
Shaome Li
Xiuming Zhao
Yiteng Wu
OOD
73
0
0
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BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study
BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study
Atharva Mutsaddi
Anvi Jamkhande
Aryan Thakre
Yashodhara Haribhakta
58
0
0
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ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms
Yuxin Ma
Zherui Zhang
Ran Cheng
Yaochu Jin
Kay Chen Tan
68
0
0
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AFed: Algorithmic Fair Federated Learning
Huiqiang Chen
Tianqing Zhu
Wanlei Zhou
Wei Zhao
FedML
71
1
0
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Towards Multimodal Metaphor Understanding: A Chinese Dataset and Model for Metaphor Mapping Identification
Towards Multimodal Metaphor Understanding: A Chinese Dataset and Model for Metaphor Mapping Identification
Dongyu Zhang
Shengcheng Yin
Jiahao Yu
Zhiyao Wu
Zhen Li
Chengpei Xu
Xiang Wang
Feng Xia
346
0
0
05 Jan 2025
Detecting Financial Bots on the Ethereum Blockchain
Detecting Financial Bots on the Ethereum Blockchain
Thomas Niedermayer
Pietro Saggese
Bernhard Haslhofer
108
4
0
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Citations and Trust in LLM Generated Responses
Yifan Ding
Matthew Facciani
Amrit Poudel
Ellen Joyce
Salvador Aguiñaga
Balaji Veeramani
Sanmitra Bhattacharya
Tim Weninger
HILM
140
4
0
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A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients
A Classifier-Based Approach to Multi-Class Anomaly Detection for Astronomical Transients
Rithwik Gupta
D. Muthukrishna
Michelle Lochner
53
2
0
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Unified dimensionality reduction techniques in chronic liver disease detection
Unified dimensionality reduction techniques in chronic liver disease detection
Anand Karna
Naina Khan
Rahul Rauniyar
Prashant Giridhar Shambharkar
OOD
77
1
0
31 Dec 2024
Unsupervised discovery of the shared and private geometry in multi-view data
Unsupervised discovery of the shared and private geometry in multi-view data
Sai Koukuntla
Joshua B. Julian
Jesse C. Kaminsky
Manuel Schottdorf
David W. Tank
C. Brody
Adam S. Charles
114
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Personality Differences Drive Conversational Dynamics: A High-Dimensional NLP Approach
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66
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Memory-Centric Computing: Recent Advances in Processing-in-DRAM
Memory-Centric Computing: Recent Advances in Processing-in-DRAM
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Geraldo F. Oliveira
Ismail Emir Yüksel
121
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Effective and secure federated online learning to rank
Effective and secure federated online learning to rank
Shuyi Wang
102
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Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown
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Beyond the Known: Enhancing Open Set Domain Adaptation with Unknown Exploration
Lucas Fernando Alvarenga e Silva
Samuel Felipe dos Santos
N. Sebe
Jurandy Almeida
40
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MatchMiner-AI: An Open-Source Solution for Cancer Clinical Trial
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MatchMiner-AI: An Open-Source Solution for Cancer Clinical Trial Matching
Ethan Cerami
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...
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Joyce Yu
Tali Mazor
Kenneth L. Kehl
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Tracking the Feature Dynamics in LLM Training: A Mechanistic Study
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Hao Wang
Hao Wang
410
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Cannot or Should Not? Automatic Analysis of Refusal Composition in
  IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs
Cannot or Should Not? Automatic Analysis of Refusal Composition in IFT/RLHF Datasets and Refusal Behavior of Black-Box LLMs
Alexander von Recum
Christoph Schnabl
Gabor Hollbeck
Silas Alberti
Philip Blinde
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145
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Out-of-Distribution Detection with Prototypical Outlier Proxy
Out-of-Distribution Detection with Prototypical Outlier Proxy
Mingrong Gong
Chaoqi Chen
Qingqiang Sun
Yue Wang
Hui Huang
OODD
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"ScatSpotter" 2024 -- A Distributed Dog Poop Detection Dataset
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Jon Crall
116
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Dimension Reduction with Locally Adjusted Graphs
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Yiyang Sun
Haiyang Huang
Cynthia Rudin
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Clio: Privacy-Preserving Insights into Real-World AI Use
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Refining Dimensions for Improving Clustering-based Cross-lingual Topic
  Models
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Chia-Hsuan Chang
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Bayesian Flow Is All You Need to Sample Out-of-Distribution Chemical Spaces
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R-Bot: An LLM-based Query Rewrite System
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Shuo Gao
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