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dimensionality reduction

767 papers

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Papers

Demixed shared component analysis of neural population data from multiple brain areas NeurIPS 2020 Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent NeurIPS 2020 Eliminating the Invariance on the Loss Landscape of Linear Autoencoders ICML 2020 Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning CoRL 2020 Federated Principal Component Analysis NeurIPS 2020 Flows for simultaneous manifold learning and density estimation NeurIPS 2020 Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling AISTATS 2020 Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020 Going Beyond T-SNE: Exposing whatlies in Text Embeddings EMNLP 2020 GP-VAE: Deep Probabilistic Time Series Imputation AISTATS 2020 Graph-Based Decoding Model for Functional Alignment of Unaligned fMRI Data AAAI 2020 Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020 Improving Neural Network Training in Low Dimensional Random Bases NeurIPS 2020 IMS at SemEval-2020 Task 1: How Low Can You Go? Dimensionality in Lexical Semantic Change Detection SemEval 2020 Input-Sparsity Low Rank Approximation in Schatten Norm ICML 2020 IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation AAAI 2020 Learning Polynomials in Few Relevant Dimensions COLT 2020 Learning sparse codes from compressed representations with biologically plausible local wiring constraints NeurIPS 2020 Manifold structure in graph embeddings NeurIPS 2020 Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation CVPR 2020 Neural Decomposition: Functional ANOVA with Variational Autoencoders AISTATS 2020 Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform NeurIPS 2020 Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning JMLR 2020 Precise expressions for random projections: Low-rank approximation and randomized Newton NeurIPS 2020 Proximity Preserving Binary Code Using Signed Graph-Cut AAAI 2020