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

Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm IJCAI 2025

Deep Generative Models: Complexity, Dimensionality, and Approximation JMLR 2025

Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract) AAAI 2025

PromotionGo at SemEval-2025 Task 11: A Feature-Centric Framework for Cross-Lingual Multi-Emotion Detection in Short Texts SEMEVAL 2025

Enhanced Denesity Peak Clustering for High-Dimensional Data AAAI 2025

IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations AAAI 2025

Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks EMNLP 2025

HTMS@DravidianLangTech 2025: Fusing TF-IDF and BERT with Dimensionality Reduction for Abusive Language Detection in Tamil and Malayalam NAACL 2025

LDIR: Low-Dimensional Dense and Interpretable Text Embeddings with Relative Representations ACL 2025

Clustering LLM-based Word Embeddings to Determine Topics from Bangla Articles IJCNLP 2025

Agtech Framework for Cranberry-Ripening Analysis using Vision Foundation Models WACV 2025

Wrapped Partial Label Dimensionality Reduction via Dependence Maximization IJCAI 2025

A Flag Decomposition for Hierarchical Datasets CVPR 2025

Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data IJCAI 2025

Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction JMLR 2024

Learning Reduced Fluid Dynamics AAAI 2024

Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning IJCAI 2024

ESPACE: Dimensionality Reduction of Activations for Model Compression NIPS 2024

Contributing Dimension Structure of Deep Feature for Coreset Selection AAAI 2024

Learned Transformer Position Embeddings Have a Low-Dimensional Structure ACL 2024

Learning Low-Rank Latent Spaces With Simple Deterministic Autoencoder: Theoretical and Empirical Insights WACV 2024

Oja's Algorithm for Streaming Sparse PCA NIPS 2024

Physics-Informed Representation and Learning: Control and Risk Quantification AAAI 2024

Optimization Can Learn Johnson Lindenstrauss Embeddings NIPS 2024

An Impossibility Theorem for Node Embedding AISTATS 2024