Parametric UMAP embeddings for representation and semi-supervised learning

27 September 2020

Papers citing "Parametric UMAP embeddings for representation and semi-supervised learning"

21 / 21 papers shown

Title
Latent Manifold Reconstruction and Representation with Topological and Geometrical Regularization Ren Wang Pengcheng Zhou 39 0 0 07 May 2025
Random Forest Autoencoders for Guided Representation Learning Adrien Aumon Shuang Ni Myriam Lizotte Guy Wolf Kevin R. Moon Jake S. Rhodes 67 0 0 18 Feb 2025
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects Natalí S. M. de Santi F. Villaescusa-Navarro L. Abramo Helen Shao Lucia A. Perez ... F. Marinacci D. Spergel K. Dolag L. Hernquist M. Vogelsberger 61 4 0 28 Jan 2025
Image-guided topic modeling for interpretable privacy classification Alina Elena Baia Andrea Cavallaro 42 0 0 27 Sep 2024
A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge Cong Zhang S. Du Hongqing Song Yuhe Wang 21 1 0 28 Aug 2024
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling Piotr Keller Muhammad Dawood B. Chohan F. Minhas VLM 21 1 0 09 Aug 2024
Exploring the Evolution of Hidden Activations with Live-Update Visualization Xianglin Yang Jin Song Dong 35 0 0 24 May 2024
Reverse Engineering Self-Supervised Learning Ido Ben-Shaul Ravid Shwartz-Ziv Tomer Galanti S. Dekel Yann LeCun SSL 23 34 0 24 May 2023
Domain Adaptation via Rebalanced Sub-domain Alignment Yi-Ling Liu Juncheng Dong Ziyang Jiang Ahmed Aloui Keyu Li Hunter Klein Vahid Tarokh David Carlson 34 2 0 03 Feb 2023
Learning Topology-Preserving Data Representations I. Trofimov D. Cherniavskii Eduard Tulchinskii Nikita Balabin Evgeny Burnaev S. Barannikov 16 20 0 31 Jan 2023
Anomaly Detection in Driving by Cluster Analysis Twice Chung-Hao Lee Yen-Fu Chen 17 0 0 15 Dec 2022
Unsupervised visualization of image datasets using contrastive learning Jan Boehm Philipp Berens D. Kobak SSL 26 15 0 18 Oct 2022
ParaDime: A Framework for Parametric Dimensionality Reduction A. Hinterreiter Christina Humer Bernhard Kainz M. Streit 25 5 0 10 Oct 2022
UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection Z. Zang Yongjie Xu Linyan Lu Yu Geng Senqiao Yang Stan Z. Li 30 12 0 08 Jul 2022
DLME: Deep Local-flatness Manifold Embedding Z. Zang Siyuan Li Di Wu Ge Wang Lei Shang Baigui Sun Haoyang Li Stan Z. Li 26 24 0 07 Jul 2022
Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO Javier Rando Nasib Naimi Thomas Baumann Max Mathys AAML 20 5 0 14 Jun 2022
Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset Hiba Kobeissi S. Mohammadzadeh Emma Lejeune AI4CE 40 15 0 08 Mar 2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning Weixin Liang Yuhui Zhang Yongchan Kwon Serena Yeung James Zou VLM 40 388 0 03 Mar 2022
Focusing on Potential Named Entities During Active Label Acquisition Ali Osman Berk Şapcı Oznur Tastan Reyyan Yeniterzi 27 2 0 06 Nov 2021
Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learning Jack Lynch S. Wookey 19 1 0 11 Jul 2021
Attraction-Repulsion Spectrum in Neighbor Embeddings Jan Niklas Böhm Philipp Berens D. Kobak 26 53 0 17 Jul 2020