UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

9 February 2018

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

38 / 638 papers shown

Title
Cartolabe: A Web-Based Scalable Visualization of Large Document Collections Philippe Caillou Jonas Renault Jean-Daniel Fekete Anne-Catherine Letournel Sebag Michèle 11 16 0 02 Mar 2020
Statistical power for cluster analysis Edwin S. Dalmaijer Camilla L. Nord D. Astle 11 281 0 01 Mar 2020
Supervised Dimensionality Reduction and Visualization using Centroid-encoder T. Ghosh Michael Kirby 17 23 0 27 Feb 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 26 21 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 31 22 0 17 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 24 483 0 12 Feb 2020
Deep Graph Mapper: Seeing Graphs through the Neural Lens Cristian Bodnar Cătălina Cangea Pietro Lió 25 42 0 10 Feb 2020
Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification Alex Ruch 22 6 0 04 Jan 2020
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 24 68 0 13 Nov 2019
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs Ruochi Zhang Yuesong Zou Jian Ma GNN 19 192 0 06 Nov 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 21 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 31 6 0 04 Oct 2019
TriMap: Large-scale Dimensionality Reduction Using Triplets Ehsan Amid Manfred K. Warmuth 11 118 0 01 Oct 2019
Representation Learning for Electronic Health Records W. Weng Peter Szolovits 28 19 0 19 Sep 2019
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures Gil Fidel Ron Bitton A. Shabtai FAtt GAN 21 119 0 08 Sep 2019
Visualization of Very Large High-Dimensional Data Sets as Minimum Spanning Trees Daniel Probst J. Reymond 13 204 0 16 Aug 2019
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks Bret A. Nestor Matthew B. A. McDermott Willie Boag G. Berner Tristan Naumann Michael C. Hughes Anna Goldenberg Marzyeh Ghassemi OOD 25 109 0 02 Aug 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 18 327 0 28 Jul 2019
Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID Devinder Kumar P. Siva P. Marchwica A. Wong 21 17 0 28 Jul 2019
Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets Frederik Kratzert D. Klotz Guy Shalev G. Klambauer Sepp Hochreiter G. Nearing 14 545 0 19 Jul 2019
Beyond Imitation: Generative and Variational Choreography via Machine Learning M. Pettee C. Shimmin Douglas Duhaime I. Vidrin DRL 13 22 0 11 Jul 2019
Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova Ricky T. Q. Chen David Duvenaud BDL AI4TS 31 251 0 08 Jul 2019
PathologyGAN: Learning deep representations of cancer tissue A. Quiros R. Murray-Smith Ke-Fei Yuan MedIm GAN 14 85 0 04 Jul 2019
Self-Supervised Similarity Learning for Digital Pathology J. Gildenblat Eldad Klaiman SSL 22 47 0 20 May 2019
Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning Takanori Fujiwara Oh-Hyun Kwon K. Ma 19 77 0 10 May 2019
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings Christine Basta Marta R. Costa-jussá Noe Casas 16 189 0 18 Apr 2019
A Learned Representation for Scalable Vector Graphics Raphael Gontijo-Lopes David R Ha Douglas Eck Jonathon Shlens GAN OCL 30 113 0 04 Apr 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations Fred Hohman Haekyu Park Caleb Robinson Duen Horng Chau FAtt 3DH HAI 19 213 0 04 Apr 2019
Understanding Childhood Vulnerability in The City of Surrey Cody Griffith Varoon Mathur Catherine Lin Ke Zhu 16 0 0 25 Mar 2019
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay Mohammad Rostami Soheil Kolouri Praveen K. Pilly CLL 22 67 0 11 Mar 2019
Deep Learning Multidimensional Projections M. Espadoto N. Hirata A. Telea 19 60 0 21 Feb 2019
Where Do Human Heuristics Come From? Marcel Binz Dominik M. Endres 16 0 0 20 Feb 2019
Exploring Language Similarities with Dimensionality Reduction Technique Sangarshanan Veeraraghavan VLM 8 0 0 16 Feb 2019
Heavy-tailed kernels reveal a finer cluster structure in t-SNE visualisations D. Kobak G. Linderman Stefan Steinerberger Y. Kluger Philipp Berens 19 36 0 15 Feb 2019
Learning a Generative Model of Cancer Metastasis Benjamin Kompa Beau Coker MedIm AI4CE 16 0 0 17 Jan 2019
InstaNAS: Instance-aware Neural Architecture Search A. Cheng Chieh Hubert Lin Da-Cheng Juan Wei Wei Min Sun 27 46 0 26 Nov 2018
Contrastive Multivariate Singular Spectrum Analysis Abdi-Hakin Dirie Abubakar Abid James Zou 6 11 0 31 Oct 2018
GPGPU Linear Complexity t-SNE Optimization Nicola Pezzotti Julian Thijssen A. Mordvintsev T. Höllt Baldur van Lew B. Lelieveldt E. Eisemann Anna Vilanova 11 10 0 28 May 2018