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dimensionality reduction

720 papers

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Also known as

SDR PCA DR

Co-occurring keywords

manifold learning (402) principal component analysis (316) feature extraction (1578) random projection (145) unsupervised learning (3255) representation learning (6174) kernel methods (1096) metric learning (1189) feature selection (649) matrix factorization (529)

Papers

Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization AAAI 2024
Euclidean distance compression via deep random features NIPS 2024
Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction JMLR 2024
Oja's Algorithm for Streaming Sparse PCA NIPS 2024
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming NIPS 2024
Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning IJCAI 2024
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis NIPS 2024
Learning Low-Rank Latent Spaces With Simple Deterministic Autoencoder: Theoretical and Empirical Insights WACV 2024
Optimization Can Learn Johnson Lindenstrauss Embeddings NIPS 2024
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024
PyDMD: A Python Package for Robust Dynamic Mode Decomposition JMLR 2024
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NIPS 2024
Selective Deep Autoencoder for Unsupervised Feature Selection AAAI 2024
On Sparse Canonical Correlation Analysis NIPS 2024
Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024
Solving Sparse \& High-Dimensional-Output Regression via Compression NIPS 2024
Automated State Estimation for Summarizing the Dynamics of Complex Urban Systems Using Representation Learning AAAI 2024
AnnoPlot: Interactive Visualizations of Text Annotations EACL 2024
Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings EMNLP 2024
Simple and scalable algorithms for cluster-aware precision medicine AISTATS 2024
Learning Reduced Fluid Dynamics AAAI 2024
Fair Representation Learning with Maximum Mean Discrepancy Distance Constraint (Student Abstract) AAAI 2024
The Effective Number of Shared Dimensions Between Paired Datasets AISTATS 2024
Contributing Dimension Structure of Deep Feature for Coreset Selection AAAI 2024
Contrastive dimension reduction: when and how? NIPS 2024