UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

9 February 2018

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

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Title
Approximating the Manifold Structure of Attributed Incentive Salience from Large Scale Behavioural Data. A Representation Learning Approach Based on Artificial Neural Networks Valerio Bonometti Mathieu J. Ruiz Anders Drachen Alex R. Wade CML 17 0 0 03 Aug 2021
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The decomposition of the higher-order homology embedding constructed from the $k$ -Laplacian Yu-Chia Chen M. Meilă 30 9 0 23 Jul 2021
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data A. Mondal Himanshu Asnani Parag Singla A. Prathosh UQCV 32 4 0 16 Jul 2021
Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learning Jack Lynch S. Wookey 19 1 0 11 Jul 2021
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li Cuntai Guan OOD 24 39 0 09 Jul 2021
Comparing Supervised Models And Learned Speech Representations For Classifying Intelligibility Of Disordered Speech On Selected Phrases Subhashini Venugopalan Joel Shor Manoj Plakal Jimmy Tobin Katrin Tomanek Jordan R. Green Michael P. Brenner 27 12 0 08 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction M. Mendez-Ruiz Jorge Gonzalez-Zapata G. Ochoa-Ruiz Andres Mendez-Vazquez 33 1 0 06 Jul 2021
DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature Abheesht Sharma Gunjan Chhablani Harshit Pandey Rajaswa Patil 25 7 0 02 Jul 2021
Overhead-MNIST: Machine Learning Baselines for Image Classification E. Larsen David A. Noever Korey MacVittie John Lilly 142 7 0 01 Jul 2021
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy Anuja Vats Marius Pedersen A. Mohammed Ø. Hovde 16 7 0 30 Jun 2021
Interactive Dimensionality Reduction for Comparative Analysis Takanori Fujiwara Xinhai Wei Jian Zhao K. Ma 27 30 0 29 Jun 2021
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies Bojing Liu Yinxi Wang Philippe Weitz J. Lindberg Johan Hartman L. Egevad Henrik Grönberg M. Eklund M. Rantalainen 26 15 0 27 Jun 2021
Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding Zipeng Liu Yangkun Wang J. Bernard T. Munzner 45 23 0 24 Jun 2021
Beyond Predictions in Neural ODEs: Identification and Interventions H. Aliee Fabian J. Theis Niki Kilbertus CML 40 24 0 23 Jun 2021
ExplorerTree: a focus+context exploration approach for 2D embeddings Wilson E. Marcílio-Jr D. M. Eler F. Paulovich J. F. Rodrigues Almir Artero 18 9 0 20 Jun 2021
Topological Indoor Mapping through WiFi Signals Bastian Schaefermeier Gerd Stumme Tom Hanika 21 0 0 17 Jun 2021
WaveNet-Based Deep Neural Networks for the Characterization of Anomalous Diffusion (WADNet) Dezhong Li Qiujin Yao Zihan Huang DiffM 14 19 0 14 Jun 2021
A News-based Machine Learning Model for Adaptive Asset Pricing Liao Zhu Haoxuan Wu M. Wells AIFin 16 12 0 13 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 19 175 0 10 Jun 2021
Inverse design of two-dimensional materials with invertible neural networks Victor Fung Jiaxin Zhang Guoxiang Hu P. Ganesh B. Sumpter 28 41 0 06 Jun 2021
Local Latent Representation based on Geometric Convolution for Particle Data Feature Exploration Haoyu Li Han-Wei Shen 3DPC 19 2 0 27 May 2021
One4all User Representation for Recommender Systems in E-commerce Kyuyong Shin Hanock Kwak KyungHyun Kim Minkyu Kim Young-Jin Park Jisu Jeong Seungjae Jung 28 27 0 24 May 2021
Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods Etienne David Mario Serouart Daniel Smith S. Madec K. Velumani ... S. Chapman B. Solan F. Baret Ian Stavness Wei Guo 22 17 0 17 May 2021
News Kaleidoscope: Visual Investigation of Coverage Diversity in News Event Reporting Aditi Mishra Shashank Ginjpalli Chris Bryan 16 3 0 09 May 2021
Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise Andrea Castellani Sebastian Schmitt Barbara Hammer NoLa 30 18 0 01 May 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 46 100 0 26 Apr 2021
TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks Anna Weber Jannis Born María Rodríguez Martínez 11 129 0 21 Apr 2021
Compact and Effective Representations for Sketch-based Image Retrieval Pablo Torres J. M. Saavedra 18 13 0 20 Apr 2021
Learning on a Budget via Teacher Imitation Ercüment Ilhan Jeremy Gow Diego Perez-Liebana OffRL 27 2 0 17 Apr 2021
mlf-core: a framework for deterministic machine learning Lukas Heumos Philipp Ehmele Luis Kuhn Cuellar Kevin Menden Edmund Miller Steffen Lemke G. Gabernet S. Nahnsen AI4CE 18 3 0 15 Apr 2021
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders Brendan Chambers James A. Evans MedIm 13 0 0 13 Apr 2021
Deep Recursive Embedding for High-Dimensional Data Zixia Zhou Yuanyuan Wang B. Lelieveldt Qian Tao 24 7 0 12 Apr 2021
Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers Moi Hoon Yap B. Cassidy Joseph M Pappachan C. O'Shea David Gillespie N. Reeves 22 49 0 07 Apr 2021
Forest Fire Clustering for Single-cell Sequencing with Iterative Label Propagation and Parallelized Monte Carlo Simulation Zhanlin Chen Jeremy Goldwasser Philip Tuckman Jason Liu Jing Zhang M. Gerstein 16 11 0 22 Mar 2021
Learning physical properties of anomalous random walks using graph neural networks Hippolyte Verdier M. Duval François Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 13 25 0 22 Mar 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 59 653 0 20 Mar 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 24 9 0 18 Mar 2021
Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset Adrianna Janik J. Dodd Georgiana Ifrim Kris Sankaran Kathleen M. Curran 33 26 0 15 Mar 2021
Visualizing Data Velocity using DSNE Songting Shi 15 0 0 15 Mar 2021
Characterizing Partisan Political Narrative Frameworks about COVID-19 on Twitter Elise Jing Yong-Yeol Ahn 21 28 0 11 Mar 2021
Modern Dimension Reduction Philip D. Waggoner DRL 8 13 0 11 Mar 2021
Explaining dimensionality reduction results using Shapley values Wilson E. Marcílio-Jr D. M. Eler FAtt 11 32 0 09 Mar 2021
Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces G. Tsialiamanis Charilaos Mylonas Eleni Chatzi N. Dervilis D. Wagg Keith Worden 28 40 0 05 Mar 2021
Clusterplot: High-dimensional Cluster Visualization Or Malkai Min Lu Daniel Cohen-Or 13 2 0 04 Mar 2021
Learning disentangled representations via product manifold projection Marco Fumero Luca Cosmo Simone Melzi Emanuele Rodolà CoGe DRL 18 22 0 02 Mar 2021
Assessing deep learning methods for the identification of kidney stones in endoscopic images F. Lopez-Tiro Andres Varela O. Hinojosa M. Mendez D. Trinh ... Jacques Hubert V. Estrade Miguel Gonzalez G. Ochoa-Ruiz C. Daul 17 34 0 01 Mar 2021
Learning Invariant Representation of Tasks for Robust Surgical State Estimation Yidan Qin M. Allan Yisong Yue J. W. Burdick M. Azizian OOD 11 8 0 18 Feb 2021