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Dimensionality Reduction

706 directly classified papers

Papers per year

Papers

Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings ACL 2025
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation IJCAI 2025
On Finding Hubs in High Dimensions with Sampling AAAI 2025
HTMS@DravidianLangTech 2025: Fusing TF-IDF and BERT with Dimensionality Reduction for Abusive Language Detection in Tamil and Malayalam NAACL 2025
FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis CVPR 2025
Wrapped Partial Label Dimensionality Reduction via Dependence Maximization IJCAI 2025
Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025
Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing AAAI 2025
Refining Dimensions for Improving Clustering-based Cross-lingual Topic Models COLING 2025
Oja's Algorithm for Streaming Sparse PCA NIPS 2024
Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction JMLR 2024
The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data AISTATS 2024
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization NIPS 2024
Unlabeled Principal Component Analysis and Matrix Completion JMLR 2024
From Small Scales to Large Scales: Distance-to-Measure Density based Geometric Analysis of Complex Data JMLR 2024
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components JMLR 2024
Solving Sparse \& High-Dimensional-Output Regression via Compression NIPS 2024
LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation AAAI 2024
Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering AAAI 2024
ESPACE: Dimensionality Reduction of Activations for Model Compression NIPS 2024
Personalized PCA: Decoupling Shared and Unique Features JMLR 2024
Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures AAAI 2024
Towards Multi-Mode Outlier Robust Tensor Ring Decomposition AAAI 2024
Capturing the denoising effect of PCA via compression ratio NIPS 2024
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity AISTATS 2024