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

Diffusion-Based Active Learning for Distributed Client Manifolds AAAI 2025

Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance AAAI 2025

Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025

Reconstructing the Geometry of Random Geometric Graphs (Extended Abstract) COLT 2024

Motion Planning in Foliated Manifolds using Repetition Roadmap RSS 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

Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NIPS 2024

Distributed Manifold Hashing for Image Set Classification and Retrieval AAAI 2024

A Grassmannian Manifold Self-Attention Network for Signal Classification IJCAI 2024

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging EMNLP 2024

Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024

Fast Unpaired Multi-view Clustering IJCAI 2024

Vector Quantile Regression on Manifolds AISTATS 2024

Fermat Distances: Metric Approximation, Spectral Convergence, and Clustering Algorithms JMLR 2024

Adaptive Manifold for Imbalanced Transductive Few-Shot Learning WACV 2024

Learning Distributions on Manifolds with Free-Form Flows NIPS 2024

RMLR: Extending Multinomial Logistic Regression into General Geometries NIPS 2024

Consistency of Dictionary-Based Manifold Learning AISTATS 2024

Spherical Rotation Dimension Reduction with Geometric Loss Functions JMLR 2024

Adaptivity of Diffusion Models to Manifold Structures AISTATS 2024

Non-parametric classification via expand-and-sparsify representation NIPS 2024

Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification AAAI 2024

Approximate Information Tests on Statistical Submanifolds JMLR 2024

Finsler-Laplace-Beltrami Operators with Application to Shape Analysis CVPR 2024