Navigating the Effect of Parametrization for Dimensionality Reduction

24 November 2024

Papers citing "Navigating the Effect of Parametrization for Dimensionality Reduction"

19 / 19 papers shown

Title
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding Tianyang Hu Zhili Liu Fengwei Zhou Wei Cao Weiran Huang SSL 97 28 0 30 May 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods Randall Balestriero Yann LeCun SSL 106 135 0 23 May 2022
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 235 191 0 13 Oct 2021
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization Yingfan Wang Haiyang Huang Cynthia Rudin Yaron Shaposhnik 246 315 0 08 Dec 2020
Parametric UMAP embeddings for representation and semi-supervised learning Tim Sainburg Leland McInnes T. Gentner 87 229 0 27 Sep 2020
Attraction-Repulsion Spectrum in Neighbor Embeddings Jan Niklas Böhm Philipp Berens D. Kobak 74 54 0 17 Jul 2020
Debiased Contrastive Learning Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba Stefanie Jegelka SSL 97 567 0 01 Jul 2020
NCVis: Noise Contrastive Approach for Scalable Visualization A. Artemenkov Maxim Panov 47 20 0 30 Jan 2020
TriMap: Large-scale Dimensionality Reduction Using Triplets Ehsan Amid Manfred K. Warmuth 65 119 0 01 Oct 2019
Topological Autoencoders Michael Moor Max Horn Bastian Rieck Karsten Borgwardt 88 150 0 03 Jun 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 205 9,492 0 09 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 289 8,928 0 25 Aug 2017
Automatic Selection of t-SNE Perplexity Yanshuai Cao Luyu Wang 68 43 0 10 Aug 2017
All-but-the-Top: Simple and Effective Postprocessing for Word Representations Jiaqi Mu S. Bhat Pramod Viswanath 97 311 0 05 Feb 2017
Visualizing Large-scale and High-dimensional Data Jian Tang J. Liu Ming Zhang Qiaozhu Mei AI4TS 83 381 0 01 Feb 2016
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 100 1,646 0 19 Nov 2015
Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie Ross B. Girshick Ali Farhadi SSL 105 2,884 0 19 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 391 13,172 0 12 Mar 2015
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 406 33,573 0 16 Oct 2013