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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
Navigating the Effect of Parametrization for Dimensionality Reduction Haiyang Huang Yingfan Wang Cynthia Rudin 98 1 0 24 Nov 2024
Medillustrator: Improving Retrospective Learning in Physicians' Continuous Medical Education via Multimodal Diagnostic Data Alignment and Representation Yuansong Xu Jiahe Dong Yijie Fan Yuheng Shao Chang Jiang Lixia Jin Yuanwu Cao Quan Li 104 0 0 23 Nov 2024
Accelerating UMAP for Large-Scale Datasets Through Spectral Coarsening Yongyu Wang 74 0 0 19 Nov 2024
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations Yueyang Shen Agus Sudjianto Arun Prakash R A. Bhattacharyya Maorong Rao Yaqun Wang J. Vaughan Nengfeng Zhou 438 1 0 17 Nov 2024
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay Feng Chen Fuguang Han Cong Guan Lei Yuan Zhilong Zhang Yang Yu Zongzhang Zhang 93 1 0 16 Nov 2024
MicroCrackAttentionNeXt: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks through Feature Visualization Fatahlla Moreh Yusuf Hasan Bilal Zahid Hussain Mohammad Ammar Sven Tomforde 71 1 0 15 Nov 2024
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs Suhas S Kowshik Abhishek Divekar Vijit Malik SyDa 161 0 0 13 Nov 2024
LA4SR: illuminating the dark proteome with generative AI David R. Nelson Ashish Kumar Jaiswal Noha Ismail Alexandra Mystikou Kourosh Salehi-Ashtiani 43 0 0 11 Nov 2024
Discovering emergent connections in quantum physics research via dynamic word embeddings Felix Frohnert Xuemei Gu Mario Krenn Evert P L van Nieuwenburg AI4CE 82 2 0 10 Nov 2024
BERTrend: Neural Topic Modeling for Emerging Trends Detection Allaa Boutaleb Jerome Picault Guillaume Grosjean 49 1 0 08 Nov 2024
Explainable Search and Discovery of Visual Cultural Heritage Collections with Multimodal Large Language Models T. Arnold L. Tilton 100 0 0 07 Nov 2024
Spontaneous Emergence of Agent Individuality through Social Interactions in LLM-Based Communities Ryosuke Takata A. Masumori Takashi Ikegami LLMAG 67 1 0 05 Nov 2024
Capturing research literature attitude towards Sustainable Development Goals: an LLM-based topic modeling approach Francesco Invernici Francesca Curati Jelena Jakimov Amirhossein Samavi Anna Bernasconi 80 0 0 05 Nov 2024
Accelerating Task Generalisation with Multi-Level Skill Hierarchies Thomas P Cannon Özgür Simsek AI4CE 75 0 0 05 Nov 2024
Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data Xian Yeow Lee Haiyan Wang Daisuke Katsumata Takaharu Matsui Chetan R. Gupta AI4CE 26 0 0 04 Nov 2024
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection Simon Gutwein Martin Kampel Sabine Taschner-Mandl Roxane Licandro MedIm 85 0 0 01 Nov 2024
LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering Nikita Severin Aleksei Ziablitsev Yulia Savelyeva Valeriy Tashchilin Ivan Bulychev ... Artem Kushneruk Amaliya Zaryvnykh Dmitrii Kiselev Andrey V. Savchenko Ilya Makarov 88 0 0 01 Nov 2024
A KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential Jaewook Lee Xinyang Sun Ethan Errington Miao Guo 44 0 0 01 Nov 2024
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization Junlin He Jinxiao Du Wei Ma SSL 118 1 0 01 Nov 2024
Unlocking the Potential of Global Human Expertise Elliot Meyerson Olivier Francon Darren Sargent Babak Hodjat Risto Miikkulainen 94 2 0 31 Oct 2024
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces? Weiguo Gao Ming Li OOD 99 3 0 31 Oct 2024
HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms Kiran Kokilepersaud Seulgi Kim Mohit Prabhushankar Ghassan AlRegib 92 2 0 30 Oct 2024
Wormhole Loss for Partial Shape Matching Amit Bracha Thomas Dagès Ron Kimmel 77 4 0 30 Oct 2024
Rule by Rule: Learning with Confidence through Vocabulary Expansion Albert Nössig Tobias Hell Georg Moser 143 0 0 30 Oct 2024
Unsupervised Multimodal Fusion of In-process Sensor Data for Advanced Manufacturing Process Monitoring Matthew McKinney Anthony Garland Dale Cillessen Jesse Adamczyk D. Bolintineanu Michael J. Heiden Elliott Fowler Brad L. Boyce 73 2 0 29 Oct 2024
Learning Identifiable Factorized Causal Representations of Cellular Responses Haiyi Mao Romain Lopez Kai Liu Jan-Christian Huetter David Richmond Panayiotis Benos Lin Qiu CML 87 3 0 29 Oct 2024
FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation Farima Fatahi Bayat Lechen Zhang Sheza Munir Lu Wang HILM 116 4 0 29 Oct 2024
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks Thomas Schmied Thomas Adler Vihang Patil M. Beck Korbinian Poppel Johannes Brandstetter Günter Klambauer Razvan Pascanu Sepp Hochreiter 203 7 0 29 Oct 2024
Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics Florian Eichin Carolin M. Schuster Georg Groh Michael A. Hedderich 46 0 0 28 Oct 2024
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning Xun Guo Shan Zhang Yongxin He Ting Zhang Wanquan Feng Haibin Huang Chongyang Ma DeLMO 86 10 0 28 Oct 2024
High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation Chris Camaño Daniel Huang BDL GP 117 1 0 28 Oct 2024
Alternatives of Unsupervised Representations of Variables on the Latent Space Alex Glushkovsky SSL BDL DRL 46 0 0 26 Oct 2024
Dimension reduction via score ratio matching Ricardo Baptista Michael C. Brennan Youssef Marzouk 53 1 0 25 Oct 2024
ISImed: A Framework for Self-Supervised Learning using Intrinsic Spatial Information in Medical Images Nabil Jabareen Dongsheng Yuan Sören Lukassen SSL 33 0 0 22 Oct 2024
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation Koshi Watanabe Keisuke Maeda Takahiro Ogawa Miki Haseyama 406 0 0 22 Oct 2024
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective Zhexuan Liu Rong Ma Yiqiao Zhong 154 1 0 22 Oct 2024
Metric as Transform: Exploring beyond Affine Transform for Interpretable Neural Network Suman Sapkota 53 0 0 21 Oct 2024
Privacy as Social Norm: Systematically Reducing Dysfunctional Privacy Concerns on Social Media JaeWon Kim Soobin Cho Robert Wolfe Jishnu Hari Nair Alexis Hiniker PICV PILM 212 2 0 21 Oct 2024
MNIST-Nd: a set of naturalistic datasets to benchmark clustering across dimensions Polina Turishcheva Laura Hansel Martin Ritzert Marissa A. Weis Alexander S. Ecker 65 1 0 21 Oct 2024
Granularity Matters in Long-Tail Learning Shizhen Zhao Xin Wen Qingbin Liu Chuofan Ma Chun Yuan Xiaojuan Qi 76 0 0 21 Oct 2024
MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering Sarwan Ali Prakash Chourasia Haris Mansoor Bipin Koirala Murray Patterson 411 0 0 21 Oct 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations Bryan Chan Anson Leung James Bergstra OffRL OnRL 138 0 0 19 Oct 2024
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling Yanan Ma Chenghao Xiao Chenhan Yuan Sabine N van der Veer Lamiece Hassan Chenghua Lin Goran Nenadic 112 0 0 19 Oct 2024
STCON System for the CHiME-8 Challenge Anton Mitrofanov Tatiana Prisyach Tatiana Timofeeva Sergei Novoselov M. Korenevsky ... Dmitriy Miroshnichenko Nikita Mamaev Ilya Odegov Olga Rudnitskaya A. Romanenko 57 1 0 17 Oct 2024
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning Hongduan Tian Feng Liu Zhanke Zhou Tongliang Liu Chengqi Zhang Bo Han VLM 134 1 0 16 Oct 2024
Sharpness-Aware Black-Box Optimization Feiyang Ye Yueming Lyu Xuehao Wang Masashi Sugiyama Yu Zhang Ivor W. Tsang AAML 127 0 0 16 Oct 2024
Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception Jihao Zhao Zhiyuan Ji Pengnian Qi Pengnian Qi Simin Niu Feiyu Xiong Zhiyu Li Zhiyu Li 138 4 0 16 Oct 2024
Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment Liangwei Nathan Zheng Chang George Dong Wei Emma Zhang Lin Yue Miao Xu Olaf Maennel Weitong Chen AI4TS 453 2 0 16 Oct 2024
Learning to rumble: Automated elephant call classification, detection and endpointing using deep architectures Christiaan M. Geldenhuys Thomas R. Niesler 29 0 0 15 Oct 2024
ReLayout: Towards Real-World Document Understanding via Layout-enhanced Pre-training Zhouqiang Jiang Bowen Wang Junhao Chen Yuta Nakashima 48 2 0 14 Oct 2024