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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
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations Fred Hohman Haekyu Park Caleb Robinson Duen Horng Chau FAtt 3DH HAI 99 217 0 04 Apr 2019
Hyperbolic Image Embeddings Valentin Khrulkov L. Mirvakhabova E. Ustinova Ivan Oseledets Victor Lempitsky 115 296 0 03 Apr 2019
Understanding Childhood Vulnerability in The City of Surrey Cody Griffith Varoon Mathur Catherine Lin Ke Zhu 27 0 0 25 Mar 2019
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening Nan Wu Jason Phang Jungkyu Park Yiqiu Shen Zhe Huang ... S. G. Kim Laura Heacock Linda Moy Kyunghyun Cho Krzysztof J. Geras MedIm 56 501 0 20 Mar 2019
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay Mohammad Rostami Soheil Kolouri Praveen K. Pilly CLL 136 70 0 11 Mar 2019
A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot Layouts Gladys M. H. Hilasaca Wilson E. Marcílio-Jr D. M. Eler Rafael M. Martins F. Paulovich 15 9 0 08 Mar 2019
Deep Learning Multidimensional Projections M. Espadoto N. Hirata A. Telea 47 63 0 21 Feb 2019
Where Do Human Heuristics Come From? Marcel Binz Dominik M. Endres 23 0 0 20 Feb 2019
Exploring Language Similarities with Dimensionality Reduction Technique Sangarshanan Veeraraghavan VLM 36 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 98 38 0 15 Feb 2019
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification Blaž Škrlj Jan Kralj Janez Konc Marko Robnik-Šikonja Nada Lavrac GNN BDL 58 3 0 11 Feb 2019
Differential Similarity in Higher Dimensional Spaces: Theory and Applications L. McCarty 24 0 0 10 Feb 2019
Invariant-equivariant representation learning for multi-class data Ilya Feige 62 10 0 08 Feb 2019
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space Jonathan Sauder Bjarne Sievers 3DPC 93 18 0 24 Jan 2019
Learning a Generative Model of Cancer Metastasis Benjamin Kompa Beau Coker MedIm AI4CE 28 0 0 17 Jan 2019
The Limitations of Adversarial Training and the Blind-Spot Attack Huan Zhang Hongge Chen Zhao Song Duane S. Boning Inderjit S. Dhillon Cho-Jui Hsieh AAML 76 145 0 15 Jan 2019
A standardized Project Gutenberg corpus for statistical analysis of natural language and quantitative linguistics Martin Gerlach Francesc Font-Clos 67 97 0 19 Dec 2018
InstaNAS: Instance-aware Neural Architecture Search A. Cheng Chieh Hubert Lin Da-Cheng Juan Wei Wei Min Sun 73 48 0 26 Nov 2018
Spectral Simplicial Theory for Feature Selection and Applications to Genomics Kiya W. Govek A. Gachagan Stephen Marshall 14 2 0 08 Nov 2018
Contrastive Multivariate Singular Spectrum Analysis Abdi-Hakin Dirie Abubakar Abid James Zou 98 11 0 31 Oct 2018
Manifold Learning of Four-dimensional Scanning Transmission Electron Microscopy Xin Li Ondrej Dyck M. Oxley A. Lupini Leland McInnes John Healy S. Jesse Sergei V. Kalinin 36 49 0 18 Oct 2018
(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation Carlos Escolano Marta R. Costa-jussá José A. R. Fonollosa SSL 43 7 0 15 Oct 2018
Deep convolutional Gaussian processes Kenneth Blomqvist Samuel Kaski Markus Heinonen BDL 91 61 0 06 Oct 2018
Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics Lukas Fuhrimann V. Moosavi P. Ohlbrock Pierluigi Dacunto AI4CE 36 20 0 23 Sep 2018
Gaussian mixture models with Wasserstein distance Benoit Gaujac Ilya Feige David Barber 48 9 0 12 Jun 2018
GPGPU Linear Complexity t-SNE Optimization Nicola Pezzotti Julian Thijssen A. Mordvintsev T. Höllt Baldur van Lew B. Lelieveldt E. Eisemann Anna Vilanova 52 10 0 28 May 2018
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder Ryo Takahashi Ran Tian Kentaro Inui CoGe BDL 23 14 0 24 May 2018
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clustering Makito Oku 16 0 0 06 May 2018
Robust And Scalable Learning Of Complex Dataset Topologies Via Elpigraph L. Albergante Evgeny M. Mirkes Huidong Chen Alexis Martin Louis Faure E. Barillot Luca Pinello Alexander N. Gorban A. Zinovyev 60 56 0 20 Apr 2018
Principal Component Analysis: A Natural Approach to Data Exploration Felipe L. Gewers Gustavo R. Ferreira Henrique F. de Arruda F. N. Silva C. H. Comin D. R. Amancio L. D. F. Costa 37 184 0 07 Apr 2018
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 133 884 0 23 Mar 2018
A more globally accurate dimensionality reduction method using triplets Ehsan Amid Manfred K. Warmuth 42 16 0 01 Mar 2018
Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions Michaël Fanuel Antoine Aspeel Jean-Charles Delvenne Johan A. K. Suykens 56 5 0 20 Nov 2017
Efficient Manifold and Subspace Approximations with Spherelets Didong Li Minerva Mukhopadhyay David B. Dunson 70 21 0 26 Jun 2017
Complex systems: features, similarity and connectivity C. H. Comin Thomas K. D. M. Peron F. N. Silva D. R. Amancio F. Rodrigues L. D. F. Costa AI4CE 37 53 0 17 Jun 2016