Copertina

HyperPriv-EPN: Hypergraph Learning with Privileged Knowledge for Ependymoma Prognosis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yu, Shuren Gabriel, Ren, Sikang, Tian, Yongji
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Hyper-STTN: Hypergraph Augmented Spatial-Temporal Transformer Network for Trajectory Prediction
di: Wang, Weizheng, et al.
Pubblicazione: (2024)

HyperKAN: Hypergraph Representation Learning with Kolmogorov-Arnold Networks
di: Fang, Xiangfei, et al.
Pubblicazione: (2025)

Vision-Based Deep Reinforcement Learning of UAV Autonomous Navigation Using Privileged Information
di: Wang, Junqiao, et al.
Pubblicazione: (2024)

SoloParkour: Constrained Reinforcement Learning for Visual Locomotion from Privileged Experience
di: Chane-Sane, Elliot, et al.
Pubblicazione: (2024)

CPFD: Confidence-aware Privileged Feature Distillation for Short Video Classification
di: Shi, Jinghao, et al.
Pubblicazione: (2024)

HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges
di: Arora, Mehul, et al.
Pubblicazione: (2024)

Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
di: Li, Changbin, et al.
Pubblicazione: (2024)

Learning Using Privileged Information for Litter Detection
di: Bartolo, Matthias, et al.
Pubblicazione: (2025)

Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels
di: Wang, Ke, et al.
Pubblicazione: (2023)

Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales
di: Qi, Shuren, et al.
Pubblicazione: (2024)

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving
di: Zhang, Lu, et al.
Pubblicazione: (2024)

Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
di: Vladymyrov, Max, et al.
Pubblicazione: (2023)

DRUPI: Dataset Reduction Using Privileged Information
di: Wang, Shaobo, et al.
Pubblicazione: (2024)

Hypergraph Laplacian Eigenmaps and Face Recognition Problems
di: Tran, Loc Hoang
Pubblicazione: (2024)

Multimodal Tabular Reasoning with Privileged Structured Information
di: Jiang, Jun-Peng, et al.
Pubblicazione: (2025)

HyperKD: Distilling Cross-Spectral Knowledge in Masked Autoencoders via Inverse Domain Shift with Spatial-Aware Masking and Specialized Loss
di: Matin, Abdul, et al.
Pubblicazione: (2025)

PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining
di: Li, Kecen, et al.
Pubblicazione: (2023)

Preview-based Category Contrastive Learning for Knowledge Distillation
di: Ding, Muhe, et al.
Pubblicazione: (2024)

Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning
di: Zhang, Qifan, et al.
Pubblicazione: (2024)

HyperCLIP: Adapting Vision-Language models with Hypernetworks
di: Akinwande, Victor, et al.
Pubblicazione: (2024)

LUMEN: Longitudinal Multi-Modal Radiology Model for Prognosis and Diagnosis
di: Jiang, Zhifan, et al.
Pubblicazione: (2026)

An Encoding Framework for Binarized Images using HyperDimensional Computing
di: Smets, Laura, et al.
Pubblicazione: (2023)

HyperPlanes: Hypernetwork Approach to Rapid NeRF Adaptation
di: Batorski, Paweł, et al.
Pubblicazione: (2024)

The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective
di: Pham, Thai-Hoang, et al.
Pubblicazione: (2025)

Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis
di: Saeed, Numan, et al.
Pubblicazione: (2025)

TriDeNT: Triple Deep Network Training for Privileged Knowledge Distillation in Histopathology
di: Farndale, Lucas, et al.
Pubblicazione: (2023)

Densely Distilling Cumulative Knowledge for Continual Learning
di: Shi, Zenglin, et al.
Pubblicazione: (2024)

HyperTokens: Controlling Token Dynamics for Continual Video-Language Understanding
di: Nguyen, Toan, et al.
Pubblicazione: (2026)

Synthetic Privileged Information Enhances Medical Image Representation Learning
di: Farndale, Lucas, et al.
Pubblicazione: (2024)

HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition
di: Dong, Pengcheng, et al.
Pubblicazione: (2025)

Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach
di: Lan, Mengcheng, et al.
Pubblicazione: (2024)

H2VLR: Heterogeneous Hypergraph Vision-Language Reasoning for Few-Shot Anomaly Detection
di: Huang, Jianghong, et al.
Pubblicazione: (2026)

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections
di: Zhou, Youwei, et al.
Pubblicazione: (2024)

Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
di: Ren, Mengye
Pubblicazione: (2026)

Enhancing Object Detection with Privileged Information: A Model-Agnostic Teacher-Student Approach
di: Bartolo, Matthias, et al.
Pubblicazione: (2026)

Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates
di: Kokane, Shirley, et al.
Pubblicazione: (2024)

Multi-Dataset Multi-Task Learning for COVID-19 Prognosis
di: Ruffini, Filippo, et al.
Pubblicazione: (2024)

Hyper-Connections
di: Zhu, Defa, et al.
Pubblicazione: (2024)

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing
di: Hai, Luu Tung, et al.
Pubblicazione: (2025)

Enriching Knowledge Distillation with Intra-Class Contrastive Learning
di: Yuan, Hua, et al.
Pubblicazione: (2025)