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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

Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too! EMNLP 2020
Learning Polynomials in Few Relevant Dimensions COLT 2020
Flows for simultaneous manifold learning and density estimation NIPS 2020
Deep reconstruction of strange attractors from time series NIPS 2020
Improving Neural Network Training in Low Dimensional Random Bases NIPS 2020
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning JMLR 2020
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent NIPS 2020
Input-Sparsity Low Rank Approximation in Schatten Norm ICML 2020
CMCE at SemEval-2020 Task 1: Clustering on Manifolds of Contextualized Embeddings to Detect Historical Meaning Shifts COLING 2020
Random Projections and α-Shape to Support the Kernel Design (Student Abstract) AAAI 2020
Rethinking Topic Modelling: From Document-Space to Term-Space EMNLP 2020
Topological Autoencoders ICML 2020
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders ICML 2020
Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data AAAI 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation AAAI 2020
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform NIPS 2020
Tensorized Random Projections AISTATS 2020
Demixed shared component analysis of neural population data from multiple brain areas NIPS 2020
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction NIPS 2020
Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020
Precise expressions for random projections: Low-rank approximation and randomized Newton NIPS 2020
A Bias Trick for Centered Robust Principal Component Analysis (Student Abstract) AAAI 2020
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning CORL 2020
Scaling up Simhash ACML 2020