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

Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis AAAI 2026

Provably Data-Driven Projection Method for Quadratic Programming AAAI 2026

Putting Fair Division on the Map AAAI 2026

TLAGC: Taylor Linear Attention-Guided Graph Convolutions for Revealing Spatial Domains in Spatial Multi-Omics Data AAAI 2026

RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection AAAI 2026

Sound-AI: A Pedagogical Tool for Exploring AI in Audio and Bioacoustic Research AAAI 2026

Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis AAAI 2026

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

Tensor Network: from the Perspective of AI4Science and Science4AI IJCAI 2025

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems ACL 2025

Fast Guaranteed Tensor Recovery with Adaptive Tensor Nuclear Norm IJCAI 2025

Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data IJCAI 2025

Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing AAAI 2025

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

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

Text Anomaly Detection with Simplified Isolation Kernel EMNLP 2025

Geometric Operator Learning with Optimal Transport JMLR 2025

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

Federated t-SNE and UMAP for Distributed Data Visualization AAAI 2025

Wrapped Partial Label Dimensionality Reduction via Dependence Maximization IJCAI 2025

Do We Really Need All Those Dimensions? An Intrinsic Evaluation Framework for Compressed Embeddings EMNLP 2025

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

Exploring Topological Properties in Artificial Neural Networks AAAI 2025

Enhanced Denesity Peak Clustering for High-Dimensional Data AAAI 2025

Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings ACL 2025