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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

BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021
Principal Bit Analysis: Autoencoding with Schur-Concave Loss ICML 2021
LDLE: Low Distortion Local Eigenmaps JMLR 2021
On Geodesic Distances and Contextual Embedding Compression for Text Classification NAACL 2021
On UMAP's True Loss Function NIPS 2021
Adapting Speaker Embeddings for Speaker Diarisation INTERSPEECH 2021
Fixed-Parameter and Approximation Algorithms for PCA with Outliers ICML 2021
Dimensionality Reduction for the Sum-of-Distances Metric ICML 2021
Exponentially Improved Dimensionality Reduction for l1: Subspace Embeddings and Independence Testing COLT 2021
Multidimensional Scaling: Approximation and Complexity ICML 2021
Johnson-Lindenstrauss Transforms with Best Confidence COLT 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification ICML 2021
Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract) IJCAI 2021
Geometric structure of graph Laplacian embeddings JMLR 2021
Product Manifold Learning AISTATS 2021
GeomCA: Geometric Evaluation of Data Representations ICML 2021
Unfolding-Model-Based Visualization: Theory, Method and Applications JMLR 2021
Learning GPLVM with arbitrary kernels using the unscented transformation AISTATS 2021
A New Robust Subspace Recovery Algorithm (Student Abstract) AAAI 2021
Latent variable modeling with random features AISTATS 2021
Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021
How can classical multidimensional scaling go wrong? NIPS 2021
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021
Self-Paced Two-dimensional PCA AAAI 2021
Fractal Autoencoders for Feature Selection AAAI 2021