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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
Reducing Geographic Performance Differential for Face Recognition Martins Bruveris Jochem Gietema Pouria Mortazavian Mohan Mahadevan CVBM 31 8 0 27 Feb 2020
Supervised Dimensionality Reduction and Visualization using Centroid-encoder T. Ghosh Michael Kirby 72 23 0 27 Feb 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 94 22 0 26 Feb 2020
Large-scale biometry with interpretable neural network regression on UK Biobank body MRI Taro Langner Robin Strand H. Ahlström J. Kullberg 100 22 0 17 Feb 2020
Classifying the classifier: dissecting the weight space of neural networks Gabriel Eilertsen Daniel Jonsson Timo Ropinski Jonas Unger Anders Ynnerman 71 54 0 13 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 113 505 0 12 Feb 2020
Unsupervised Learning of Audio Perception for Robotics Applications: Learning to Project Data to T-SNE/UMAP space Prateek Verma J. Kenneth Salisbury SSL 24 4 0 10 Feb 2020
Deep Graph Mapper: Seeing Graphs through the Neural Lens Cristian Bodnar Cătălina Cangea Pietro Lio 190 43 0 10 Feb 2020
Improving the Evaluation of Generative Models with Fuzzy Logic Julian Niedermeier Gonçalo Mordido Christoph Meinel EGVM 18 3 0 03 Feb 2020
NCVis: Noise Contrastive Approach for Scalable Visualization A. Artemenkov Maxim Panov 51 20 0 30 Jan 2020
Genetic Programming for Evolving a Front of Interpretable Models for Data Visualisation Andrew Lensen Bing Xue Mengjie Zhang 39 44 0 27 Jan 2020
ProjectionPathExplorer: Exploring Visual Patterns in Projected Decision-Making Paths A. Hinterreiter C. Steinparz Moritz Schofl Holger Stitz M. Streit 10 17 0 20 Jan 2020
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified Takuma Shibahara Chisa Wada Yasuho Yamashita Kazuhiro A. Fujita Masamichi Sato Junichi Kuwata Atsushi Okamoto Yoshimasa Ono 37 7 0 20 Jan 2020
Building high accuracy emulators for scientific simulations with deep neural architecture search M. F. Kasim D. Watson‐Parris L. Deaconu Sophy Oliver P. Hatfield ... S. Khatiwala J. Korenaga J. Topp-Mugglestone E. Viezzer S. Vinko AI4CE 44 95 0 17 Jan 2020
A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning Ben Ortiz David Lindenbaum Joseph Nassar Brendan Lammers J. Wahl Robert Mangum Margaret Smith Marc Bosch 15 0 0 16 Jan 2020
ShapeVis: High-dimensional Data Visualization at Scale Nupur Kumari R. Siddarth Akash Rupela Piyush B. Gupta Balaji Krishnamurthy 43 3 0 15 Jan 2020
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and Dimensionality Andrew Lensen Mengjie Zhang Bing Xue 28 16 0 05 Jan 2020
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification Alex Ruch 49 6 0 04 Jan 2020
DeepBeat: A multi-task deep learning approach to assess signal quality and arrhythmia detection in wearable devices J. Soto Euan A. Ashley 16 6 0 01 Jan 2020
Finding and Removing Clever Hans: Using Explanation Methods to Debug and Improve Deep Models Christopher J. Anders Talmaj Marinc David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin AAML 73 20 0 22 Dec 2019
Unsupervised Representation Learning by Predicting Random Distances Hu Wang Guansong Pang Chunhua Shen Congbo Ma OOD SSL 57 74 0 22 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 87 28 0 18 Dec 2019
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation Guangyi Zhang Ali Etemad 48 45 0 17 Dec 2019
Learning Malware Representation based on Execution Sequences Yi-Ting Huang Ting Chen Yeali S. Sun Meng Chang Chen 8 4 0 16 Dec 2019
Two Way Adversarial Unsupervised Word Translation Blaine Cole GAN 21 0 0 12 Dec 2019
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples Angie Boggust Brandon Carter Arvind Satyanarayan 102 65 0 10 Dec 2019
Self Organizing Nebulous Growths for Robust and Incremental Data Visualization Damith A. Senanayake Wei Wang S. Naik Saman K. Halgamuge AI4TS 43 16 0 09 Dec 2019
Mixing autoencoder with classifier: conceptual data visualization P. Hartono BDL 39 10 0 03 Dec 2019
Stable Visual Summaries for Trajectory Collections Jules Wulms J. Buchmüller Wouter Meulemans Kevin Verbeek Bettina Speckmann 21 7 0 02 Dec 2019
Event detection in Colombian security Twitter news using fine-grained latent topic analysis Vladimir Vargas-Calderón N. Parra-A Jorge E. Camargo Herbert Vinck-Posada 18 6 0 19 Nov 2019
Self-supervised representation learning from electroencephalography signals Hubert J. Banville Isabela Albuquerque Aapo Hyvarinen G. Moffat Denis A. Engemann Alexandre Gramfort AI4TS SSL 61 59 0 13 Nov 2019
ZiMM: a deep learning model for long term and blurry relapses with non-clinical claims data A. Kabeshova Yiyang Yu Bertrand Lukacs Emmanuel Bacry Stéphane Gaïffas VLM MedIm 24 2 0 13 Nov 2019
AMPL: A Data-Driven Modeling Pipeline for Drug Discovery Amanda J. Minnich K. McLoughlin Margaret J. Tse Jason Deng Andrew Weber ... Bharath Ramsundar T. Rush Stacie Calad-Thomson J. Brase Jonathan E. Allen 51 68 0 13 Nov 2019
Deep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data John Just Sambuddha Ghosal DiffM DRL 62 6 0 12 Nov 2019
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs Ruochi Zhang Yuesong Zou Jian Ma GNN 137 194 0 06 Nov 2019
Self-attention for raw optical Satellite Time Series Classification M. Rußwurm Marco Körner AI4TS 88 268 0 23 Oct 2019
Unsupervised Videographic Analysis of Rodent Behaviour Anthony Bourached P. Nachev 52 4 0 22 Oct 2019
LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery Megh Shukla Biplab Banerjee K. Buddhiraju 17 2 0 19 Oct 2019
Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data Andreas Kopf Vincent Fortuin Vignesh Ram Somnath Manfred Claassen DRL 71 12 0 17 Oct 2019
Would a File by Any Other Name Seem as Malicious? A. Nguyen Edward Raff Aaron Sant-Miller AAML 43 7 0 10 Oct 2019
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization Xiaomeng Dong Junpyo Hong Hsi-Ming Chang Michael Potter Aritra Chowdhury ... Rajesh Tamada Gaurav Kumar Caroline Favart V. R. Saripalli Gopal Avinash 23 2 0 07 Oct 2019
Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder K. Lamb G. Malhotra Athanasios Vlontzos E. Wagstaff A. G. Baydin Anahita Bhiwandiwalla Y. Gal Alfredo Kalaitzis Anthony Reina A. Bhatt 78 6 0 04 Oct 2019
Conditional out-of-sample generation for unpaired data using trVAE M. Lotfollahi Mohsen Naghipourfar Fabian J. Theis F. A. Wolf GAN ViT DRL 129 19 0 04 Oct 2019
TriMap: Large-scale Dimensionality Reduction Using Triplets Ehsan Amid Manfred K. Warmuth 92 119 0 01 Oct 2019
Capacity Preserving Mapping for High-dimensional Data Visualization Rongrong Wang Xiaopeng Zhang 13 4 0 29 Sep 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning Karsten Roth Biagio Brattoli Bjorn Ommer 84 90 0 25 Sep 2019
Wider Networks Learn Better Features D. Gilboa Guy Gur-Ari 46 7 0 25 Sep 2019
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series Jinho Lee Seokho Yi Jaewoo Kang AI4TS 41 15 0 24 Sep 2019
Representation Learning for Electronic Health Records W. Weng Peter Szolovits 81 19 0 19 Sep 2019
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction Alexander Schulz Fabian Hinder Barbara Hammer FAtt 26 2 0 19 Sep 2019