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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

Structure-Guided Adversarial Training of Diffusion Models CVPR 2024
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation AAAI 2024
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks NIPS 2024
Distributed Manifold Hashing for Image Set Classification and Retrieval AAAI 2024
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling CVPR 2024
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024
Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms JMLR 2024
Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract) COLT 2024
Fast Unpaired Multi-view Clustering IJCAI 2024
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning ICML 2023
Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold L4DC 2023
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs L4DC 2023
Fisher Information Embedding for Node and Graph Learning ICML 2023
When Locally Linear Embedding Hits Boundary JMLR 2023
Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning JMLR 2023
The Effect of Diversity in Meta-Learning AAAI 2023
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation ICML 2023
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories ACL 2023
Manifold-Preserving Transformers are Effective for Short-Long Range Encoding EMNLP 2023
Unsupervised Manifold Linearizing and Clustering ICCV 2023
Neural FIM for learning Fisher information metrics from point cloud data ICML 2023
Edge Structure Learning via Low Rank Residuals for Robust Image Classification AAAI 2023
Scaling Riemannian Diffusion Models NIPS 2023
Canonical normalizing flows for manifold learning NIPS 2023
Isometric Manifold Learning Using Hierarchical Flow AAAI 2023