Dimensionality Reduction
780 papers
Papers per year
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Papers
IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations
AAAI 2025
Learning causal graphs via nonlinear sufficient dimension reduction
JMLR 2025
Multi-Subspace Matrix Recovery from Permuted Data
AAAI 2025
Neural Networks Perform Sufficient Dimension Reduction
AAAI 2025
Nonparametric Factor Analysis and Beyond
AISTATS 2025
NUST Omega at RIRAG 2025: Investigating Context-aware Retrieval and Answer Generations-Lessons and Challenges
COLING 2025
On Finding Hubs in High Dimensions with Sampling
AAAI 2025
On Probabilistic Embeddings in Optimal Dimension Reduction
JMLR 2025
"Principal Components" Enable A New Language of Images
ICCV 2025
Probabilistic Geometric Principal Component Analysis with application to neural data
ICLR 2025
Randomly Projected Convex Clustering Model: Motivation, Realization, and Cluster Recovery Guarantees
JMLR 2025
Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks
EMNLP 2025
Recovering Manifold Structure Using Ollivier Ricci Curvature
ICLR 2025
Redundancy, Isotropy, and Intrinsic Dimensionality of Prompt-based Text Embeddings
ACL 2025
Refining Dimensions for Improving Clustering-based Cross-lingual Topic Models
COLING 2025
Simple and Effective Content Encoder for Singing Voice Conversion via SSL-Embedding Dimension Reduction
Interspeech 2025
StableMDS: A Novel Gradient Descent-Based Method for Stabilizing and Accelerating Weighted Multidimensional Scaling
AISTATS 2025
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
AISTATS 2025
Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract)
AAAI 2025
Tensorial Multi-view Clustering with Deep Anchor Graph Projection
IJCAI 2025
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation
AAAI 2025
Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing
AAAI 2025
Voxplorer: Voice data exploration and projection in an interactive dashboard
Interspeech 2025
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
AAAI 2025
Wrapped Partial Label Dimensionality Reduction via Dependence Maximization
IJCAI 2025