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manifold learning

402 papers

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Also known as

ML

Co-occurring keywords

dimensionality reduction (720) representation learning (6174) riemannian manifold (169) semi-supervised learning (2331) unsupervised learning (3255) metric learning (1189) generative model (2889) spectral method (204) normalizing flow (354) graph laplacian (109)

Papers

Effective Semisupervised Learning on Manifolds COLT 2017
Minimax rates for cost-sensitive learning on manifolds with approximate nearest neighbours ALT 2017
Improved Graph Laplacian via Geometric Self-Consistency NIPS 2017
Word Re-Embedding via Manifold Dimensionality Retention EMNLP 2017
A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning CVPR 2017
Minimax-optimal semi-supervised regression on unknown manifolds AISTATS 2017
Density Level Set Estimation on Manifolds with DBSCAN ICML 2017
Learning Texture Manifolds with the Periodic Spatial GAN ICML 2017
Subspace Clustering via Variance Regularized Ridge Regression CVPR 2017
Additive Component Analysis CVPR 2017
Locality Preserving Projections for Grassmann manifold IJCAI 2017
Flexible Orthogonal Neighborhood Preserving Embedding IJCAI 2017
Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios AISTATS 2017
Phoneme-Discriminative Features for Dysarthric Speech Conversion INTERSPEECH 2017
Phone Classification Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs INTERSPEECH 2017
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition CVPR 2017
Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs CVPR 2017
Scalable Person Re-Identification on Supervised Smoothed Manifold CVPR 2017
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space CVPR 2017
Data driven estimation of Laplace-Beltrami operator NIPS 2016
Synthesized Classifiers for Zero-Shot Learning CVPR 2016
Nearly Isometric Embedding by Relaxation NIPS 2016
A Locally Adaptive Normal Distribution NIPS 2016
Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness JMLR 2016
Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel? COLT 2016