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
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards Sebastian Shenghong Tay Xinyi Xu Chuan-Sheng Foo Bryan Kian Hsiang Low SyDa 24 32 0 17 Dec 2021
Deciphering antibody affinity maturation with language models and weakly supervised learning Jeffrey A. Ruffolo Jeffrey J. Gray Jeremias Sulam 10 130 0 14 Dec 2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module Wei-Cheng Tseng Wei Wei Da-Cheng Juan Min Sun 36 2 0 14 Dec 2021
Survey of Generative Methods for Social Media Analysis Stan Matwin Aristides Milios P. Prałat Amílcar Soares Franccois Théberge 27 3 0 13 Dec 2021
Collective variable discovery in the age of machine learning: reality, hype and everything in between S. Bhakat AI4CE 34 25 0 06 Dec 2021
Iterative Contrast-Classify For Semi-supervised Temporal Action Segmentation Dipika Singhania R. Rahaman Angela Yao 27 23 0 02 Dec 2021
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs Bogumil Kamiñski Ł. Kraiński P. Prałat F. Théberge 22 8 0 30 Nov 2021
Self-supervised Feature-Gate Coupling for Dynamic Network Pruning Mengnan Shi Chang-rui Liu Jianbin Jiao QiXiang Ye 32 1 0 29 Nov 2021
SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition Ayush Tripathi A. Mondal Lalan Kumar Prathosh Ap 22 9 0 25 Nov 2021
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion Anthony Bourached Robert J. Gray Xiaodong Guan Ryan-Rhys Griffiths A. Jha P. Nachev 3DH DRL 14 1 0 24 Nov 2021
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data Michał Gerasimiuk Dennis L. Shung Alexander Tong A. Stanley M. Schultz Jeffrey Ngu Loren Laine Guy Wolf Smita Krishnaswamy 9 0 0 19 Nov 2021
CSI Clustering with Variational Autoencoding Michael Baur M. Würth M. Koller V. Andrei Wolfgang Utschick DRL 25 2 0 18 Nov 2021
Natural Adversarial Objects Felix Lau Nishant Subramani Sasha Harrison Aerin Kim E. Branson Rosanne Liu 22 7 0 07 Nov 2021
Focusing on Potential Named Entities During Active Label Acquisition Ali Osman Berk Şapcı Oznur Tastan Reyyan Yeniterzi 27 2 0 06 Nov 2021
Curriculum Offline Imitation Learning Minghuan Liu Hanye Zhao Zhengyu Yang Jian Shen Weinan Zhang Li Zhao Tie-Yan Liu OffRL 29 1 0 03 Nov 2021
Likelihood-Free Inference in State-Space Models with Unknown Dynamics Alexander Aushev Thong Tran Henri Pesonen Andrew Howes Samuel Kaski 28 1 0 02 Nov 2021
Bayesian optimization of distributed neurodynamical controller models for spatial navigation Armin Hadzic Grace M. Hwang Kechen Zhang Kevin M. Schultz J. Monaco 21 5 0 31 Oct 2021
TorchXRayVision: A library of chest X-ray datasets and models Joseph Paul Cohen J. Viviano Paul Bertin Paul Morrison Parsa Torabian ... M. Lungren Akshay S. Chaudhari Rupert Brooks Mohammad Hashir H. Bertrand VLM MedIm 25 121 0 31 Oct 2021
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction Konstantin Schurholt Dimche Kostadinov Damian Borth SSL 41 14 0 28 Oct 2021
The chemical space of terpenes: insights from data science and AI M. Hosseini D. M. Pereira 11 8 0 27 Oct 2021
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks Pengyong Li Jun Wang Ziliang Li Yixuan Qiao Xianggen Liu Fei Ma Peng Gao Sen Song Guowang Xie SSL 31 16 0 26 Oct 2021
Self-supervised similarity search for large scientific datasets G. Stein P. Harrington Jacqueline Blaum Tomislav Medan Z. Lukić 21 21 0 25 Oct 2021
Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities Chao Fan Mengke Zhang Ali Mostafavi AI4CE 26 13 0 24 Oct 2021
TLDR: Twin Learning for Dimensionality Reduction Yannis Kalantidis Carlos Lassance Jon Almazán Diane Larlus SSL 27 10 0 18 Oct 2021
Comparing Deep Neural Nets with UMAP Tour Mingwei Li C. Scheidegger FAtt 13 1 0 18 Oct 2021
Topologically Regularized Data Embeddings R. Vandaele Bo Kang Jefrey Lijffijt T. D. Bie Yvan Saeys 21 9 0 18 Oct 2021
Tangent Space and Dimension Estimation with the Wasserstein Distance Uzu Lim Harald Oberhauser Vidit Nanda 44 8 0 12 Oct 2021
A bridge between features and evidence for binary attribute-driven perfect privacy Paul-Gauthier Noé A. Nautsch D. Matrouf Pierre-Michel Bousquet J. Bonastre 44 6 0 12 Oct 2021
On the relationship between disentanglement and multi-task learning Lukasz Maziarka A. Nowak Maciej Wołczyk Andrzej Bedychaj OOD DRL 27 3 0 07 Oct 2021
Attention is All You Need? Good Embeddings with Statistics are enough:Large Scale Audio Understanding without Transformers/ Convolutions/ BERTs/ Mixers/ Attention/ RNNs or .... Prateek Verma AI4TS 32 2 0 07 Oct 2021
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study Jiazhi Xia Yuchen Zhang Jie Song Yang Chen Yunhai Wang Shixia Liu 29 46 0 06 Oct 2021
T-SNE Is Not Optimized to Reveal Clusters in Data Zhirong Yang Yuwei Chen J. Corander DRL 23 4 0 06 Oct 2021
FacialFilmroll: High-resolution multi-shot video editing B. Damodaran Emmanuel Jolly Gilles Puy P. Gosselin Cédric Thébault Junghyun Ahn Tim Christensen P. Ghezzo Pierre Hellier CVBM 24 1 0 05 Oct 2021
Assessing glaucoma in retinal fundus photographs using Deep Feature Consistent Variational Autoencoders S. Mandal A. Jammal Felipe A. Medeiros MedIm 16 1 0 04 Oct 2021
Quantifying the Suicidal Tendency on Social Media: A Survey Muskan Garg 22 4 0 04 Oct 2021
Git: Clustering Based on Graph of Intensity Topology Zhangyang Gao Haitao Lin Cheng Tan Lirong Wu Stan. Z Li 26 6 0 04 Oct 2021
Meta-learning an Intermediate Representation for Few-shot Block-wise Prediction of Landslide Susceptibility Li Chen Yulin Ding Saeid Pirasteh Han Hu Qing Zhu Haowei Zeng Haojia Yu Qisen Shang Yongfei Song 16 9 0 03 Oct 2021
Artificial intelligence for Sustainable Energy: A Contextual Topic Modeling and Content Analysis T. Saheb Mohammad Dehghani 29 55 0 02 Oct 2021
Visual Cluster Separation Using High-Dimensional Sharpened Dimensionality Reduction Benoît Colange L. Vuillon S. Lespinats D. Dutykh 10 3 0 01 Oct 2021
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation Theo Jaunet G. Bono Romain Vuillemot Christian Wolf 21 2 0 24 Sep 2021
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? R. Vandaele Bo Kang T. D. Bie Yvan Saeys 14 4 0 22 Sep 2021
Screen Parsing: Towards Reverse Engineering of UI Models from Screenshots Jason Wu Xiaoyi Zhang Jeffrey Nichols Jeffrey P. Bigham 3DV 163 71 0 17 Sep 2021
A geometric perspective on functional outlier detection Moritz Herrmann Fabian Scheipl 17 6 0 14 Sep 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 32 14 0 09 Sep 2021
Biomedical Data-to-Text Generation via Fine-Tuning Transformers Ruslan Yermakov Nicholas Drago Angelo Ziletti MedIm 32 13 0 03 Sep 2021
MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis Junyoung Choi Hak-jae Lee Suyeon Kim Seok-Kyu Kwon Won-Ki Jeong 16 3 0 03 Sep 2021
Mapper-type algorithms for complex data and relations Paweł Dłotko Davide Gurnari R. Sazdanovic 3DPC 23 9 0 02 Sep 2021
Latin writing styles analysis with Machine Learning: New approach to old questions Arianna Di Bernardo Simone Poetto Pietro Sillano Beatrice Villata Weronika Sójka Zofia Pietka-Danilewicz Piotr Pranke 17 0 0 01 Sep 2021
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP Raymond Li Wen Xiao Lanjun Wang Hyeju Jang Giuseppe Carenini ViT 31 23 0 31 Aug 2021
Neuron-level Interpretation of Deep NLP Models: A Survey Hassan Sajjad Nadir Durrani Fahim Dalvi MILM AI4CE 35 80 0 30 Aug 2021