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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
Measures of Complexity for Large Scale Image Datasets Ameet Rahane A. Subramanian 48 21 0 10 Aug 2020
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and Datasets Pedro Miguel Sánchez Sánchez José María Jorquera Valero Alberto Huertas Celdrán Gérome Bovet M. Pérez Gregorio Martínez Pérez 65 98 0 07 Aug 2020
Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier R. Carrasco-Davis E. Reyes C. Valenzuela F. Förster P. Estévez ... C. Sepúlveda-Cobo Ashish Mahabal J. Silva-Farfán Ernesto Camacho-Iñiquez L. Galbany 48 35 0 07 Aug 2020
TOAD-GAN: Coherent Style Level Generation from a Single Example Maren Awiszus Frederik Schubert Bodo Rosenhahn GAN 89 38 0 04 Aug 2020
Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization Mara Graziani Sebastian Otalora Stephane Marchand-Maillet Henning Muller Vincent Andrearczyk AAML MedIm 42 0 0 04 Aug 2020
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction Takanori Fujiwara Shilpika Shilpika Naohisa Sakamoto J. Nonaka Keiji Yamamoto K. Ma AI4TS 90 38 0 02 Aug 2020
Bringing UMAP Closer to the Speed of Light with GPU Acceleration Corey J. Nolet V. Lafargue Edward Raff Thejaswi Nanditale Tim Oates John Zedlewski Joshua Patterson 95 35 0 01 Aug 2020
Uncovering the structure of clinical EEG signals with self-supervised learning Hubert J. Banville O. Chehab Aapo Hyvarinen Denis A. Engemann Alexandre Gramfort 94 199 0 31 Jul 2020
Geometric All-Way Boolean Tensor Decomposition Changlin Wan Wennan Chang Tong Zhao Sha Cao Fangqiu Yi 31 3 0 31 Jul 2020
SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization Jiazhi Xia Tianxiang Chen Lei Zhang Wei Chen Yang Chen X. Zhang C. Xie Tobias Schreck 107 11 0 30 Jul 2020
Instance Selection for GANs Terrance Devries M. Drozdzal Graham W. Taylor 72 41 0 30 Jul 2020
Semi-Automatic Data Annotation guided by Feature Space Projection B. C. Benato J. Gomes A. Telea A. X. Falcão 57 42 0 27 Jul 2020
Towards Game Design via Creative Machine Learning (GDCML) Anurag Sarkar Seth Cooper AI4CE 72 21 0 25 Jul 2020
Scaling Graph Clustering with Distributed Sketches Benjamin W. Priest Alec M. Dunton Geoffrey Sanders 14 2 0 24 Jul 2020
Self-similarity Student for Partial Label Histopathology Image Segmentation Hsien-Tzu Cheng Chun-Fu Yeh Po-Chen Kuo Andy Wei Keng-Chi Liu Mong-Chi Ko Kuan-Hua Chao Yu-Ching Peng Tyng-Luh Liu 115 20 0 19 Jul 2020
Attraction-Repulsion Spectrum in Neighbor Embeddings Jan Niklas Böhm Philipp Berens D. Kobak 104 54 0 17 Jul 2020
Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data Yuefeng Liang A. Chaudhuri Haoyu Wang 51 0 0 17 Jul 2020
Extendable and invertible manifold learning with geometry regularized autoencoders Andres F. Duque Sacha Morin Guy Wolf Kevin R. Moon 88 24 0 14 Jul 2020
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem Milad Sikaroudi Benyamin Ghojogh Fakhri Karray Mark Crowley H. R. Tizhoosh 32 3 0 10 Jul 2020
To BAN or not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection Kristian Miok Blaž Škrlj D. Zaharie Marko Robnik-Šikonja 65 43 0 10 Jul 2020
Manifold Learning via Manifold Deflation Daniel Ting Michael I. Jordan 11 3 0 07 Jul 2020
Domain Adaptation for Robust Workload Level Alignment Between Sessions and Subjects using fNIRS Boyang Lyu Thao Pham Giles Blaney Z. Haga A. Sassaroli S. Fantini Shuchin Aeron 21 20 0 02 Jul 2020
E3-targetPred: Prediction of E3-Target Proteins Using Deep Latent Space Encoding Seongyong Park Shujaat Khan Abdul Wahab 23 5 0 26 Jun 2020
Recurrent Quantum Neural Networks Johannes Bausch 81 155 0 25 Jun 2020
Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling Simone Piaggesi Andre' Panisson 47 2 0 25 Jun 2020
Extracting the main trend in a dataset: the Sequencer algorithm D. Baron B. Ménard 13 14 0 24 Jun 2020
Large image datasets: A pyrrhic win for computer vision? Vinay Uday Prabhu Abeba Birhane 118 367 0 24 Jun 2020
Likelihood-Free Gaussian Process for Regression Yuta Shikuri 39 0 0 24 Jun 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 87 6 0 23 Jun 2020
Rescaling Egocentric Vision Dima Damen Hazel Doughty G. Farinella Antonino Furnari Evangelos Kazakos ... Davide Moltisanti Jonathan Munro Toby Perrett Will Price Michael Wray EgoV 163 469 0 23 Jun 2020
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks Arijit Sehanobish N. Ravindra David van Dijk SSL 45 16 0 23 Jun 2020
Projective Latent Interventions for Understanding and Fine-tuning Classifiers A. Hinterreiter M. Streit Bernhard Kainz BDL 43 5 0 23 Jun 2020
Counterfactual Explanations of Concept Drift Fabian Hinder Barbara Hammer 33 8 0 23 Jun 2020
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification Jingtian Peng Chang Xiao Yifan Li 95 45 0 22 Jun 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future Joseph Paul Cohen Paul Morrison Lan Dao Karsten Roth T. Duong Marzyeh Ghassemi 106 780 0 22 Jun 2020
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data Martin Jørgensen Søren Hauberg 27 7 0 21 Jun 2020
Learning aligned embeddings for semi-supervised word translation using Maximum Mean Discrepancy Antonio H. O. Fonseca David van Dijk 14 0 0 20 Jun 2020
Quantile-Quantile Embedding for Distribution Transformation and Manifold Embedding with Ability to Choose the Embedding Distribution Benyamin Ghojogh Fakhri Karray Mark Crowley 36 2 0 19 Jun 2020
An Investigation of the Weight Space to Monitor the Training Progress of Neural Networks Konstantin Schurholt Damian Borth 94 3 0 18 Jun 2020
MMCGAN: Generative Adversarial Network with Explicit Manifold Prior Guanhua Zheng Jitao Sang Changsheng Xu GAN 36 1 0 18 Jun 2020
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms Adam Sutton N. Cristianini 54 8 0 17 Jun 2020
Isometric Autoencoders Amos Gropp Matan Atzmon Y. Lipman DRL 65 18 0 16 Jun 2020
Supervised Visualization for Data Exploration Jake S. Rhodes Adele Cutler Guy Wolf Kevin R. Moon 14 1 0 15 Jun 2020
Markov-Lipschitz Deep Learning Stan Z. Li Zelin Zhang Lirong Wu 75 16 0 15 Jun 2020
CPR: Classifier-Projection Regularization for Continual Learning Sungmin Cha Hsiang Hsu Taebaek Hwang Flavio du Pin Calmon Taesup Moon CLL 77 77 0 12 Jun 2020
Interpretable Visualizations with Differentiating Embedding Networks Isaac Robinson DRL 30 3 0 11 Jun 2020
PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing Jon Saad-Falcon Omar Shaikh Zijie J. Wang Austin P. Wright S. Richardson Duen Horng Chau 21 2 0 10 Jun 2020
Manifold structure in graph embeddings Patrick Rubin-Delanchy 75 25 0 09 Jun 2020
Evaluation of Similarity-based Explanations Kazuaki Hanawa Sho Yokoi Satoshi Hara Kentaro Inui XAI 34 2 0 08 Jun 2020
Improving k-Means Clustering Performance with Disentangled Internal Representations Abien Fred Agarap A. Azcarraga DRL 44 10 0 05 Jun 2020