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UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

9 February 2018
Leland McInnes
John Healy
James Melville
ArXivPDFHTML

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

50 / 638 papers shown
Title
Compositional API Recommendation for Library-Oriented Code Generation
Compositional API Recommendation for Library-Oriented Code Generation
Zexiong Ma
Shengnan An
Bing Xie
Zeqi Lin
42
17
0
29 Feb 2024
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off
Futa Waseda
Ching-Chun Chang
Isao Echizen
AAML
29
0
0
22 Feb 2024
Self-supervised Visualisation of Medical Image Datasets
Self-supervised Visualisation of Medical Image Datasets
I. V. Nwabufo
Jan Niklas Böhm
Philipp Berens
D. Kobak
42
0
0
22 Feb 2024
Contrastive Instruction Tuning
Contrastive Instruction Tuning
Tianyi Yan
Fei Wang
James Y. Huang
Wenxuan Zhou
Fan Yin
Aram Galstyan
Wenpeng Yin
Muhao Chen
ALM
27
5
0
17 Feb 2024
Towards Financially Inclusive Credit Products Through Financial Time
  Series Clustering
Towards Financially Inclusive Credit Products Through Financial Time Series Clustering
Tristan Bester
Benjamin Rosman
AI4TS
14
1
0
16 Feb 2024
TL;DR Progress: Multi-faceted Literature Exploration in Text
  Summarization
TL;DR Progress: Multi-faceted Literature Exploration in Text Summarization
S. Syed
Khalid Al Khatib
Martin Potthast
11
2
0
10 Feb 2024
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
Bryan Perozzi
Bahare Fatemi
Dustin Zelle
Anton Tsitsulin
Mehran Kazemi
Rami Al-Rfou
Jonathan J. Halcrow
GNN
42
55
0
08 Feb 2024
What's documented in AI? Systematic Analysis of 32K AI Model Cards
What's documented in AI? Systematic Analysis of 32K AI Model Cards
Weixin Liang
Nazneen Rajani
Xinyu Yang
Ezinwanne Ozoani
Eric Wu
Yiqun Chen
D. Smith
James Zou
49
15
0
07 Feb 2024
The VampPrior Mixture Model
The VampPrior Mixture Model
Andrew Stirn
David A. Knowles
BDL
29
1
0
06 Feb 2024
Distributional Reduction: Unifying Dimensionality Reduction and
  Clustering with Gromov-Wasserstein
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
Hugues van Assel
Cédric Vincent-Cuaz
Nicolas Courty
Rémi Flamary
Pascal Frossard
Titouan Vayer
26
3
0
03 Feb 2024
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Parth Sarthi
Salman Abdullah
Aditi Tuli
Shubh Khanna
Anna Goldie
Christopher D. Manning
RALM
19
123
0
31 Jan 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
Rheeya Uppaal
Yixuan Li
Junjie Hu
37
4
0
31 Jan 2024
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Alexander Oberstrass
Sascha E. A. Muenzing
Meiqi Niu
N. Palomero-Gallagher
Christian Schiffer
M. Axer
Katrin Amunts
Timo Dickscheid
27
4
0
30 Jan 2024
Interpreting Equivariant Representations
Interpreting Equivariant Representations
Andreas Abildtrup Hansen
Anna Calissano
Aasa Feragen
53
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
27
15
0
22 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
22
0
0
15 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
40
1
0
05 Jan 2024
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
26
5
0
30 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
MDE
SLR
SSL
25
88
0
23 Dec 2023
Learning to Act without Actions
Learning to Act without Actions
Dominik Schmidt
Minqi Jiang
OffRL
34
31
0
17 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
13
4
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
CML
OOD
AI4TS
32
2
0
12 Dec 2023
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
36
3
0
09 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
29
1
0
07 Dec 2023
Towards the Inferrence of Structural Similarity of Combinatorial
  Landscapes
Towards the Inferrence of Structural Similarity of Combinatorial Landscapes
Mingyu Huang
Ke Li
31
0
0
05 Dec 2023
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token Embeddings
Andrea W Wen-Yi
David Mimno
33
14
0
29 Nov 2023
Searching for Snippets of Open-Domain Dialogue in Task-Oriented Dialogue
  Datasets
Searching for Snippets of Open-Domain Dialogue in Task-Oriented Dialogue Datasets
Armand Stricker
P. Paroubek
34
0
0
23 Nov 2023
Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for
  Classifying Imagery and Motor Signals in ECoG-Based BCIs
Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for Classifying Imagery and Motor Signals in ECoG-Based BCIs
Soham Bafana
19
0
0
22 Nov 2023
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A
  Hate Speech Detection Case Study
Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study
Maike Zufle
Verna Dankers
Ivan Titov
45
0
0
16 Nov 2023
Simple but Effective Unsupervised Classification for Specified Domain
  Images: A Case Study on Fungi Images
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images
Zhaocong liu
Fa Zhang
Lin Cheng
Huanxi Deng
Xiaoyan Yang
Zhenyu Zhang
Chichun Zhou
19
1
0
15 Nov 2023
Identifying Light-curve Signals with a Deep Learning Based Object
  Detection Algorithm. II. A General Light Curve Classification Framework
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework
Kaiming Cui
D. J. Armstrong
Fabo Feng
23
2
0
14 Nov 2023
Attention-Challenging Multiple Instance Learning for Whole Slide Image
  Classification
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
Yunlong Zhang
Honglin Li
Yuxuan Sun
Sunyi Zheng
Chenglu Zhu
Lin Yang
25
29
0
13 Nov 2023
Labor Space: A Unifying Representation of the Labor Market via Large
  Language Models
Labor Space: A Unifying Representation of the Labor Market via Large Language Models
Seongwoon Kim
Yong-Yeol Ahn
Jaehyuk Park
16
1
0
09 Nov 2023
A Lightweight Architecture for Real-Time Neuronal-Spike Classification
A Lightweight Architecture for Real-Time Neuronal-Spike Classification
Muhammad Ali Siddiqi
David Vrijenhoek
Lennart P L Landsmeer
Job van der Kleij
A. Gebregiorgis
V. Romano
R. Bishnoi
Said Hamdioui
Christos Strydis
13
1
0
08 Nov 2023
Wearable data from subjects playing Super Mario, sitting university
  exams, or performing physical exercise help detect acute mood episodes via
  self-supervised learning
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
F. Corponi
Bryan M. Li
G. Anmella
Clàudia Valenzuela-Pascual
Ariadna Mas
...
Allan H Young
S. Lawrie
H. Whalley
D. Hidalgo-Mazzei
Antonio Vergari
26
0
0
07 Nov 2023
LitSumm: Large language models for literature summarisation of non-coding RNAs
LitSumm: Large language models for literature summarisation of non-coding RNAs
Andrew Green
C. Ribas
Nancy Ontiveros-Palacios
Sam Griffiths-Jones
Anton I. Petrov
Alex Bateman
Blake Sweeney
29
4
0
06 Nov 2023
Domain Generalization in Computational Pathology: Survey and Guidelines
Domain Generalization in Computational Pathology: Survey and Guidelines
Mostafa Jahanifar
M. Raza
Kesi Xu
T. Vuong
R. Jewsbury
...
Neda Zamanitajeddin
Jin Tae Kwak
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
28
17
0
30 Oct 2023
Retrofitting Light-weight Language Models for Emotions using Supervised
  Contrastive Learning
Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning
Sapan Shah
Sreedhar Reddy
Pushpak Bhattacharyya
13
0
0
29 Oct 2023
MCRAGE: Synthetic Healthcare Data for Fairness
MCRAGE: Synthetic Healthcare Data for Fairness
Keira Behal
Jiayi Chen
Caleb Fikes
Sophia Xiao
SyDa
MedIm
32
1
0
27 Oct 2023
Graph Neural Network approaches for single-cell data: A recent overview
Graph Neural Network approaches for single-cell data: A recent overview
Konstantinos Lazaros
Dimitrios E Koumadorakis
Vlamos
Aristidis G. Vrahatis
AI4CE
32
7
0
14 Oct 2023
Log Anomaly Detection on EuXFEL Nodes
Log Anomaly Detection on EuXFEL Nodes
Antonin Sulc
Annika Eichler
T. Wilksen
29
0
0
13 Oct 2023
Latent Wander: an Alternative Interface for Interactive and
  Serendipitous Discovery of Large AV Archives
Latent Wander: an Alternative Interface for Interactive and Serendipitous Discovery of Large AV Archives
Yuchen Yang
Linyida Zhang
21
2
0
09 Oct 2023
A Process for Topic Modelling Via Word Embeddings
A Process for Topic Modelling Via Word Embeddings
Diego Saldana Ulloa
23
0
0
06 Oct 2023
Cluster Exploration using Informative Manifold Projections
Cluster Exploration using Informative Manifold Projections
Stavros Gerolymatos
Xenophon Evangelopoulos
V. Gusev
John Y. Goulermas
19
0
0
26 Sep 2023
Detect Everything with Few Examples
Detect Everything with Few Examples
Xinyu Zhang
Yuting Wang
Abdeslam Boularias
ObjD
VLM
32
13
0
22 Sep 2023
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information
  Networks
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks
Shuai Wang
Jiayi Shen
Athanasios Efthymiou
S. Rudinac
Monika Kackovic
N. Wijnberg
M. Worring
21
0
0
22 Sep 2023
Audio Contrastive based Fine-tuning
Audio Contrastive based Fine-tuning
Yang Wang
Qibin Liang
Chenghao Xiao
Yizhi Li
Noura Al Moubayed
Chenghua Lin
32
0
0
21 Sep 2023
Embed-Search-Align: DNA Sequence Alignment using Transformer Models
Embed-Search-Align: DNA Sequence Alignment using Transformer Models
Pavan Holur
Kenneth C. Enevoldsen
Shreyas Rajesh
L. Mboning
Thalia Georgiou
Louis-S. Bouchard
Matteo Pellegrini
V. Roychowdhury
25
0
0
20 Sep 2023
Interactive Distillation of Large Single-Topic Corpora of Scientific
  Papers
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers
N. Solovyev
Ryan Barron
Manish Bhattarai
M. Eren
Kim Ø. Rasmussen
Boian S. Alexandrov
19
1
0
19 Sep 2023
UNICON: A unified framework for behavior-based consumer segmentation in
  e-commerce
UNICON: A unified framework for behavior-based consumer segmentation in e-commerce
Manuel Dibak
Vladimir Vlasov
Nour Karessli
Darya Dedik
E. Malykh
Jacek Wasilewski
T. Torres
Ana Peleteiro Ramallo
AI4TS
26
1
0
18 Sep 2023
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