manifold learning

Beyond Binary Contrast: Modeling Continuous Skeleton Action Spaces with Transitional Anchors CVPR 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 Detecting AI-Generated Forgeries via Iterative Manifold Deviation Amplification CVPR 2026 DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection ACL 2026 FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification AAAI 2026 GeoCoT: Towards Reliable Remote Sensing Reasoning with Manifold Perspective CVPR 2026 Global Fréchet Manifold Learning for Random Objects, With Application to Low-Dimensional Wasserstein Representations of Distributional Data JMLR 2026 Globscope: Toward a Global View of the Loss Landscape CVPR 2026 Learning Eigenstructures of Unstructured Data Manifolds CVPR 2026 Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks AAAI 2026 PDD: Manifold-Prior Diverse Distillation for Medical Anomaly Detection CVPR 2026 Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations AAAI 2026 Vibe Spaces for Creatively Connecting and Expressing Visual Concepts CVPR 2026 Zero-shot Implicit Neural Manifold Representation (INMR) for Ultra-high Temporal Resolution Dynamic MRI AAAI 2026 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 Enhanced Unsupervised Discriminant Dimensionality Reduction for Nonlinear Data IJCAI 2025 Equivariant Manifold Neural ODEs and Differential Invariants JMLR 2025 Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding CVPR 2025 Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025 Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance AAAI 2025 Geometric Operator Learning with Optimal Transport JMLR 2025 Geometry-Aware Deep Learning for 3D Skeleton-Based Motion Prediction WACV 2025