manifold learning

HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections ICML 2021 Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021 Knowledge Graph Representation Learning using Ordinary Differential Equations EMNLP 2021 LDLE: Low Distortion Local Eigenmaps JMLR 2021 Learning disentangled representations via product manifold projection ICML 2021 Learning Proofs of Motion Planning Infeasibility RSS 2021 Learning Signal-Agnostic Manifolds of Neural Fields NeurIPS 2021 Locality Preserving Sentence Encoding EMNLP 2021 Low-Rank Registration Based Manifolds for Convection-Dominated PDEs AAAI 2021 Manifold Regularized Dynamic Network Pruning CVPR 2021 Modality-Agnostic Topology Aware Localization NeurIPS 2021 Moser Flow: Divergence-based Generative Modeling on Manifolds NeurIPS 2021 Neighborhood Reconstructing Autoencoders NeurIPS 2021 Neural Architecture Search of SPD Manifold Networks IJCAI 2021 Neural Cellular Automata Manifold CVPR 2021 On Geodesic Distances and Contextual Embedding Compression for Text Classification NAACL 2021 On Learning the Geodesic Path for Incremental Learning CVPR 2021 Online Learning in Variable Feature Spaces under Incomplete Supervision AAAI 2021 On UMAP's True Loss Function NeurIPS 2021 Partial-Label and Structure-constrained Deep Coupled Factorization Network AAAI 2021 Rectangular Flows for Manifold Learning NeurIPS 2021 Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows NeurIPS 2021 Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMap, and PaCMAP for Data Visualization JMLR 2021 Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring AAAI 2021 Variational Autoencoder with Learned Latent Structure AISTATS 2021