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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

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Papers citing "UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction"

50 / 2,414 papers shown

Chronotome: Real-Time Topic Modeling for Streaming Embedding Spaces

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Preserving Vector Space Properties in Dimensionality Reduction: A Relationship Preserving Loss Framework

Preserving Vector Space Properties in Dimensionality Reduction: A Relationship Preserving Loss Framework

Alexander Kovalenko

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01 Sep 2025

Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration

Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration

Hojjat Torabi Goudarzi

Maziyar Baran Pouyan

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Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering

122

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31 Aug 2025

MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset

MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset

Seyed Muhammad Hossein Mousavi

117

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31 Aug 2025

Protocol for Clustering 4DSTEM Data for Phase Differentiation in Glasses

Protocol for Clustering 4DSTEM Data for Phase Differentiation in Glasses

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Optimized Weight Initialization on the Stiefel Manifold for Deep ReLU Neural Networks

Optimized Weight Initialization on the Stiefel Manifold for Deep ReLU Neural Networks

215

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30 Aug 2025

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder

Quantum Circuits for Quantum Convolutions: A Quantum Convolutional Autoencoder

108

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Signs of Struggle: Spotting Cognitive Distortions across Language and Register

Signs of Struggle: Spotting Cognitive Distortions across Language and Register

Caroline Figueroa

P. Murukannaiah

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28 Aug 2025

SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM

SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM

162

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Digital Scale: Open-Source On-Device BMI Estimation from Smartphone Camera Images Trained on a Large-Scale Real-World Dataset

Digital Scale: Open-Source On-Device BMI Estimation from Smartphone Camera Images Trained on a Large-Scale Real-World Dataset

Frederik Rajiv Manichand

42

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28 Aug 2025

Specializing General-purpose LLM Embeddings for Implicit Hate Speech Detection across Datasets

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Andrea Cavallaro

108

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Cluster and then Embed: A Modular Approach for Visualization

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MicroLad: 2D-to-3D Microstructure Reconstruction and Generation via Latent Diffusion and Score Distillation

MicroLad: 2D-to-3D Microstructure Reconstruction and Generation via Latent Diffusion and Score DistillationComputer Methods in Applied Mechanics and Engineering (CMAME), 2025

274

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DeepAtlas: a tool for effective manifold learning

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Tom Kolokotrones

35

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ModAn-MulSupCon: Modality-and Anatomy-Aware Multi-Label Supervised Contrastive Pretraining for Medical Imaging

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95

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Controllable Conversational Theme Detection Track at DSTC 12

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Igor Shalyminov

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Consciousness as a Functor

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Collaborative Intelligence: Topic Modelling of Large Language Model use in Live Cybersecurity Operations

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GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection

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Melissa Kazemi Rad

Alberto Purpura

Mohammad Sorower

117

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Linguistic Neuron Overlap Patterns to Facilitate Cross-lingual Transfer on Low-resource Languages

Linguistic Neuron Overlap Patterns to Facilitate Cross-lingual Transfer on Low-resource Languages

144

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UMATO: Bridging Local and Global Structures for Reliable Visual Analytics with Dimensionality Reduction

UMATO: Bridging Local and Global Structures for Reliable Visual Analytics with Dimensionality ReductionIEEE Transactions on Visualization and Computer Graphics (TVCG), 2025

196

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ReProCon: Scalable and Resource-Efficient Few-Shot Biomedical Named Entity Recognition

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Learning Point Cloud Representations with Pose Continuity for Depth-Based Category-Level 6D Object Pose Estimation

Learning Point Cloud Representations with Pose Continuity for Depth-Based Category-Level 6D Object Pose Estimation

164

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Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method

Synthetic Adaptive Guided Embeddings (SAGE): A Novel Knowledge Distillation Method

Suleyman O. Polat

Poli A. Nemkova

132

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The Statistical Validation of Innovation Lens

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Giacomo Radaelli

52

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DREAMS: Preserving both Local and Global Structure in Dimensionality Reduction

DREAMS: Preserving both Local and Global Structure in Dimensionality Reduction

Sebastian Damrich

78

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Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization

Learning local and global prototypes with optimal transport for unsupervised anomaly detection and localization

Robin Trombetta

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164

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Unlearning Comparator: A Visual Analytics System for Comparative Evaluation of Machine Unlearning Methods

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DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy

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Abundance-Aware Set Transformer for Microbiome Sample Embedding

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Data-Driven Abdominal Phenotypes of Type 2 Diabetes in Lean, Overweight, and Obese Cohorts

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Lucas W. Remedios

Trent M. Schwartz

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Alvin C. Powers

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112

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SPHENIC: Topology-Aware Multi-View Clustering for Spatial Transcriptomics

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Dynamical Alignment: A Principle for Adaptive Neural Computation

Dynamical Alignment: A Principle for Adaptive Neural Computation

100

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No Free Lunch from Audio Pretraining in Bioacoustics: A Benchmark Study of Embeddings

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UtterTune: LoRA-Based Target-Language Pronunciation Edit and Control in Multilingual Text-to-Speech

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134

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OmniLLP: Enhancing LLM-based Log Level Prediction with Context-Aware Retrieval

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Youssef Esseddiq Ouatiti

Mohammed Sayagh

Ahmed E. Hassan

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Data-Efficient Biomedical In-Context Learning: A Diversity-Enhanced Submodular Perspective

Data-Efficient Biomedical In-Context Learning: A Diversity-Enhanced Submodular Perspective

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Deep Learning for School Dropout Detection: A Comparison of Tabular and Graph-Based Models for Predicting At-Risk Students

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Pablo G. Almeida

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ClimateSOM: A Visual Analysis Workflow for Climate Ensemble Datasets

ClimateSOM: A Visual Analysis Workflow for Climate Ensemble Datasets

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Deep Language Geometry: Constructing a Metric Space from LLM Weights

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Vladyslav Hamolia

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A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models

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Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data

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From eye to AI: studying rodent social behavior in the era of machine Learning

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Revealing Temporal Label Noise in Multimodal Hateful Video Classification

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Pseudo-label Induced Subspace Representation Learning for Robust Out-of-Distribution Detection

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Unifying Locality of KANs and Feature Drift Compensation Projection for Data-free Replay based Continual Face Forgery Detection

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