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Dimensionality Reduction

706 directly classified papers

Papers per year

Papers

When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? AAAI 2025
Bidirectional Topic Matching: Quantifying Thematic Intersections Between Climate Change and Climate Mitigation News Corpora Through Topic Modelling ACL 2025
On Probabilistic Embeddings in Optimal Dimension Reduction JMLR 2025
On Finding Hubs in High Dimensions with Sampling AAAI 2025
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation AAAI 2025
Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract) AAAI 2025
HTMS@DravidianLangTech 2025: Fusing TF-IDF and BERT with Dimensionality Reduction for Abusive Language Detection in Tamil and Malayalam NAACL 2025
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees JMLR 2025
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation IJCAI 2025
Tensorial Multi-view Clustering with Deep Anchor Graph Projection IJCAI 2025
Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance AAAI 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
"Principal Components" Enable A New Language of Images ICCV 2025
Wrapped Partial Label Dimensionality Reduction via Dependence Maximization IJCAI 2025
Refining Dimensions for Improving Clustering-based Cross-lingual Topic Models COLING 2025
Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings ACL 2025
Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025
Generalized multi-view model: Adaptive density estimation under low-rank constraints JMLR 2025
Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition JMLR 2025
FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis CVPR 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding CVPR 2025
A (1+ε)-Approximation for Ultrametric Embedding in Subquadratic Time AAAI 2025
NUST Omega at RIRAG 2025: Investigating Context-aware Retrieval and Answer Generations-Lessons and Challenges COLING 2025
Do We Really Need All Those Dimensions? An Intrinsic Evaluation Framework for Compressed Embeddings EMNLP 2025