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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

FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification AAAI 2026
Zero-shot Implicit Neural Manifold Representation (INMR) for Ultra-high Temporal Resolution Dynamic MRI AAAI 2026
Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations AAAI 2026
Breaking Task Boundaries: A Unified Model for 3D Medical Image Fusion and Segmentation Guided by Manifold Perspective AAAI 2026
Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification AAAI 2026
Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks AAAI 2026
Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance AAAI 2025
GeoMM: On Geodesic Perspective for Multi-modal Learning CVPR 2025
Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025
Equivariant Manifold Neural ODEs and Differential Invariants JMLR 2025
IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations AAAI 2025
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds CVPR 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding CVPR 2025
MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper EMNLP 2025
Pseudo-Label Reconstruction for Partial Multi-Label Learning IJCAI 2025
MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval EMNLP 2025
Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI CVPR 2025
Diffusion-Based Active Learning for Distributed Client Manifolds AAAI 2025
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation IJCAI 2025
Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval AAAI 2025
Linear Separation Capacity of Self-Supervised Representation Learning JMLR 2025
GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts AAAI 2025
Geometry-Aware Deep Learning for 3D Skeleton-Based Motion Prediction WACV 2025
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination AAAI 2025