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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
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition Parastoo Alinia Seyed Iman Mirzadeh H. Ghasemzadeh 126 10 0 16 Mar 2020
Hierarchical Models: Intrinsic Separability in High Dimensions Wen-Yan Lin 91 0 0 15 Mar 2020
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scalenpj Digital Medicine (NPJ Digit Med), 2020 Isotta Landi B. Glicksberg Hao-Chih Lee S. Cherng Giulia Landi M. Danieletto J. Dudley Cesare Furlanello Riccardo Miotto 211 177 0 14 Mar 2020
Longevity Associated Geometry Identified in Satellite Images: Sidewalks, Driveways and Hiking Trails Joshua J. Levy Rebecca M. Lebeaux A. Hoen B. Christensen L. Vaickus T. A. MacKenzie 93 1 0 05 Mar 2020
Cartolabe: A Web-Based Scalable Visualization of Large Document CollectionsIEEE Computer Graphics and Applications (CG&A), 2020 Philippe Caillou Jonas Renault Jean-Daniel Fekete Anne-Catherine Letournel Sebag Michèle 63 18 0 02 Mar 2020
Statistical power for cluster analysisBMC Bioinformatics (BB), 2020 Edwin S. Dalmaijer Camilla L. Nord D. Astle 48 382 0 01 Mar 2020
Entangled Watermarks as a Defense against Model ExtractionUSENIX Security Symposium (USENIX Security), 2020 Hengrui Jia Christopher A. Choquette-Choo Varun Chandrasekaran Nicolas Papernot WaLM AAML 324 261 0 27 Feb 2020
Reducing Geographic Performance Differential for Face Recognition Martins Bruveris Jochem Gietema Pouria Mortazavian Mohan Mahadevan CVBM 102 8 0 27 Feb 2020
Supervised Dimensionality Reduction and Visualization using Centroid-encoderJournal of machine learning research (JMLR), 2020 T. Ghosh Michael Kirby 149 29 0 27 Feb 2020
NestedVAE: Isolating Common Factors via Weak SupervisionComputer Vision and Pattern Recognition (CVPR), 2020 M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 150 22 0 26 Feb 2020
Large-scale biometry with interpretable neural network regression on UK Biobank body MRIScientific Reports (Sci Rep), 2020 Taro Langner Robin Strand H. Ahlström J. Kullberg 182 23 0 17 Feb 2020
Classifying the classifier: dissecting the weight space of neural networksEuropean Conference on Artificial Intelligence (ECAI), 2020 Gabriel Eilertsen Daniel Jonsson Timo Ropinski Jonas Unger Anders Ynnerman 170 59 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 257 591 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 147 4 0 10 Feb 2020
Deep Graph Mapper: Seeing Graphs through the Neural LensFrontiers in Big Data (Front. Big Data), 2020 Cristian Bodnar Cătălina Cangea Pietro Lio 286 43 0 10 Feb 2020
Improving the Evaluation of Generative Models with Fuzzy Logic Julian Niedermeier Gonçalo Mordido Christoph Meinel EGVM 41 3 0 03 Feb 2020
NCVis: Noise Contrastive Approach for Scalable VisualizationThe Web Conference (WWW), 2020 A. Artemenkov Maxim Panov 85 20 0 30 Jan 2020
Genetic Programming for Evolving a Front of Interpretable Models for Data VisualisationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2020 Andrew Lensen Bing Xue Mengjie Zhang 87 50 0 27 Jan 2020
ProjectionPathExplorer: Exploring Visual Patterns in Projected Decision-Making Paths A. Hinterreiter C. Steinparz Moritz Schofl Holger Stitz M. Streit 140 18 0 20 Jan 2020
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classifiedbioRxiv (bioRxiv), 2020 Takuma Shibahara Chisa Wada Yasuho Yamashita Kazuhiro A. Fujita Masamichi Sato Junichi Kuwata Atsushi Okamoto Yoshimasa Ono 94 11 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 136 105 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 56 0 0 16 Jan 2020
ShapeVis: High-dimensional Data Visualization at ScaleThe Web Conference (WWW), 2020 Nupur Kumari R. Siddarth Akash Rupela Piyush B. Gupta Balaji Krishnamurthy 157 4 0 15 Jan 2020
Multi-Objective Genetic Programming for Manifold Learning: Balancing Quality and DimensionalityGenetic Programming and Evolvable Machines (GPEM), 2020 Andrew Lensen Mengjie Zhang Bing Xue 77 16 0 05 Jan 2020
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification Alex Ruch 179 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 123 8 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 215 20 0 22 Dec 2019
Unsupervised Representation Learning by Predicting Random DistancesInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Hu Wang Guansong Pang Chunhua Shen Congbo Ma OOD SSL 104 85 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 186 30 0 18 Dec 2019
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance EstimationIEEE transactions on neural systems and rehabilitation engineering (TNSRE), 2019 Guangyi Zhang Ali Etemad 245 61 0 17 Dec 2019
Learning Malware Representation based on Execution Sequences Yi-Ting Huang Ting Chen Yeali S. Sun Meng Chang Chen 79 4 0 16 Dec 2019
Two Way Adversarial Unsupervised Word Translation Blaine Cole GAN 50 0 0 12 Dec 2019
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small MultiplesInternational Conference on Intelligent User Interfaces (IUI), 2019 Angie Boggust Brandon Carter Arvind Satyanarayan 223 72 0 10 Dec 2019
Self Organizing Nebulous Growths for Robust and Incremental Data VisualizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Damith A. Senanayake Wei Wang S. Naik Saman K. Halgamuge AI4TS 109 16 0 09 Dec 2019
Mixing autoencoder with classifier: conceptual data visualizationIEEE Access (IEEE Access), 2019 P. Hartono BDL 60 13 0 03 Dec 2019
Stable Visual Summaries for Trajectory CollectionsIEEE Pacific Visualization Symposium (PacificVis), 2019 Jules Wulms J. Buchmüller Wouter Meulemans Kevin Verbeek Bettina Speckmann 82 8 0 02 Dec 2019
Event detection in Colombian security Twitter news using fine-grained latent topic analysis Santiago Acevedo-Mancera N. Parra-A Jorge E. Camargo Herbert Vinck-Posada 94 6 0 19 Nov 2019
Self-supervised representation learning from electroencephalography signalsInternational Workshop on Machine Learning for Signal Processing (MLSP), 2019 Hubert J. Banville Isabela Albuquerque Aapo Hyvarinen G. Moffat Denis A. Engemann Alexandre Gramfort AI4TS SSL 116 67 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 116 2 0 13 Nov 2019
AMPL: A Data-Driven Modeling Pipeline for Drug DiscoveryJournal of Chemical Information and Modeling (JCIM), 2019 Amanda J. Minnich K. McLoughlin Margaret J. Tse Jason Deng Andrew Weber ... Bharath Ramsundar T. Rush Stacie Calad-Thomson J. Brase Jonathan E. Allen 145 70 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 135 6 0 12 Nov 2019
Hyper-SAGNN: a self-attention based graph neural network for hypergraphsInternational Conference on Learning Representations (ICLR), 2019 Ruochi Zhang Yuesong Zou Jian Ma GNN 222 214 0 06 Nov 2019
Self-attention for raw optical Satellite Time Series Classification M. Rußwurm Marco Körner AI4TS 221 298 0 23 Oct 2019
Unsupervised Videographic Analysis of Rodent Behaviour Anthony Bourached P. Nachev 119 4 0 22 Oct 2019
LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral ImageryIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019 Megh Shukla Biplab Banerjee K. Buddhiraju 52 2 0 19 Oct 2019
Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell DataInternational Conference on Learning Representations (ICLR), 2019 Andreas Kopf Vincent Fortuin Vignesh Ram Somnath Manfred Claassen DRL 150 12 0 17 Oct 2019
Would a File by Any Other Name Seem as Malicious? A. Nguyen Edward Raff Aaron Sant-Miller AAML 91 8 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 104 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 98 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 193 21 0 04 Oct 2019