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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

A Unified Framework for Optimization-Based Graph Coarsening JMLR 2023
Canonical normalizing flows for manifold learning NIPS 2023
Dimensionality Reduction for General KDE Mode Finding ICML 2023
Learning 3D Human Pose Estimation From Dozens of Datasets Using a Geometry-Aware Autoencoder To Bridge Between Skeleton Formats WACV 2023
Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs AAAI 2023
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold AAAI 2022
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss NIPS 2022
Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings AAAI 2022
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality JMLR 2022
Supervised Dimensionality Reduction and Visualization using Centroid-Encoder JMLR 2022
CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data CVPR 2022
Neural PCA for Flow-Based Representation Learning IJCAI 2022
Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction CVPR 2022
Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions CVPR 2022
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract) IJCAI 2022
Random Mapping Method for Large-Scale Terrain Modeling AAAI 2022
Noisy L0-sparse subspace clustering on dimensionality reduced data UAI 2022
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design CVPR 2022
Extracting computational mechanisms from neural data using low-rank RNNs NIPS 2022
Attraction-Repulsion Spectrum in Neighbor Embeddings JMLR 2022
On a Connection Between Fast and Sparse Oblivious Subspace Embeddings AISTATS 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects AISTATS 2022
Non-Euclidean Self-Organizing Maps IJCAI 2022