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dimensionality reduction

720 papers

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Also known as

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

Guided Visual Exploration of Relations in Data Sets JMLR 2021
How can classical multidimensional scaling go wrong? NIPS 2021
Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection JMLR 2021
A New Robust Subspace Recovery Algorithm (Student Abstract) AAAI 2021
Sliced Mutual Information: A Scalable Measure of Statistical Dependence NIPS 2021
Randomness Efficient Feature Hashing for Sparse Binary Data ACML 2020
Scaling up Simhash ACML 2020
A determinantal point process for column subset selection JMLR 2020
2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets WACV 2020
pyDML: A Python Library for Distance Metric Learning JMLR 2020
GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning JMLR 2020
Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling AISTATS 2020
Rethinking Topic Modelling: From Document-Space to Term-Space EMNLP 2020
IMS at SemEval-2020 Task 1: How Low Can You Go? Dimensionality in Lexical Semantic Change Detection SEMEVAL 2020
Learning sparse codes from compressed representations with biologically plausible local wiring constraints NIPS 2020
CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts SEMEVAL 2020
Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data AAAI 2020
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation AAAI 2020
Demixed shared component analysis of neural population data from multiple brain areas NIPS 2020
Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders ICML 2020
A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract) AAAI 2020
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction NIPS 2020
CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images CVPR 2020