Cover Image

SGPMIL: Sparse Gaussian Process Multiple Instance Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lolos, Andreas, Christodoulidis, Stergios, Moustakas, Aris L., Dolz, Jose, Vakalopoulou, Maria
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CAPRMIL: Context-Aware Patch Representations for Multiple Instance Learning
by: Lolos, Andreas, et al.
Published: (2025)

BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation
by: Morales-Álvarez, Pablo, et al.
Published: (2024)

OCTOPUS: Enhancing the Spatial-Awareness of Vision SSMs with Multi-Dimensional Scans and Traversal Selection
by: Mahatha, Kunal, et al.
Published: (2026)

SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning
by: Fillioux, Leo, et al.
Published: (2026)

Class Adaptive Conformal Training
by: Marani, Badr-Eddine, et al.
Published: (2026)

Full Conformal Adaptation of Medical Vision-Language Models
by: Silva-Rodríguez, Julio, et al.
Published: (2025)

Are foundation models for computer vision good conformal predictors?
by: Fillioux, Leo, et al.
Published: (2024)

On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI
by: Restrepo, David, et al.
Published: (2025)

Medical Context Distorts Decisions in Clinical Vision Language Models
by: Restrepo, David, et al.
Published: (2026)

THUNDER: Tile-level Histopathology image UNDERstanding benchmark
by: Marza, Pierre, et al.
Published: (2025)

Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision
by: Gaggion, Nicolás, et al.
Published: (2026)

Fairness and Robustness of CLIP-Based Models for Chest X-rays
by: Sourget, Théo, et al.
Published: (2025)

PVeRA: Probabilistic Vector-Based Random Matrix Adaptation
by: Fillioux, Leo, et al.
Published: (2025)

Information Maximization for Long-Tailed Semi-Supervised Domain Generalization
by: Fillioux, Leo, et al.
Published: (2026)

Controllable Latent Space Augmentation for Digital Pathology
by: Boutaj, Sofiène, et al.
Published: (2025)

ViG-Bias: Visually Grounded Bias Discovery and Mitigation
by: Marani, Badr-Eddine, et al.
Published: (2024)

CDG-MAE: Learning Correspondences from Diffusion Generated Views
by: Belagali, Varun, et al.
Published: (2025)

TICON: A Slide-Level Tile Contextualizer for Histopathology Representation Learning
by: Belagali, Varun, et al.
Published: (2025)

Multimodal Carotid Risk Stratification with Large Vision-Language Models: Benchmarking, Fine-Tuning, and Clinical Insights
by: Tsolissou, Daphne, et al.
Published: (2025)

Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
by: Scalbert, Marin, et al.
Published: (2023)

cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
by: Chen, Yihang, et al.
Published: (2024)

Do Multiple Instance Learning Models Transfer?
by: Shao, Daniel, et al.
Published: (2025)

Representation Learning with Semantic-aware Instance and Sparse Token Alignments
by: Bui, Phuoc-Nguyen, et al.
Published: (2026)

Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis
by: Tang, Wenhao, et al.
Published: (2025)

Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images
by: Zhang, Yuedi, et al.
Published: (2025)

InstanceGaussian: Appearance-Semantic Joint Gaussian Representation for 3D Instance-Level Perception
by: Li, Haijie, et al.
Published: (2024)

Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
by: Li, Xianrui, et al.
Published: (2025)

Rethinking Multiple Instance Learning: Developing an Instance-Level Classifier via Weakly-Supervised Self-Training
by: Ma, Yingfan, et al.
Published: (2024)

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers
by: Zhu, Wenhui, et al.
Published: (2023)

Multi-head Attention-based Deep Multiple Instance Learning
by: Keshvarikhojasteh, Hassan, et al.
Published: (2024)

Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint
by: Cai, Linghan, et al.
Published: (2024)

Optimizing Cooperative Multi-Object Tracking using Graph Signal Processing
by: Damanaki, Maria, et al.
Published: (2025)

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology
by: Hense, Julius, et al.
Published: (2024)

LadderMIL: Multiple Instance Learning with Coarse-to-Fine Self-Distillation
by: Wu, Shuyang, et al.
Published: (2025)

Fourier Transform Multiple Instance Learning for Whole Slide Image Classification
by: Bilic, Anthony, et al.
Published: (2025)

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning
by: Shu, Chen, et al.
Published: (2025)

Priority-Aware Clinical Pathology Hierarchy Training for Multiple Instance Learning
by: Hong, Sungrae, et al.
Published: (2025)

Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
by: Zhang, Yunlong, et al.
Published: (2023)

ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging
by: Ye, Linfeng, et al.
Published: (2026)

Multiple Instance Learning with random sampling for Whole Slide Image Classification
by: Keshvarikhojasteh, H., et al.
Published: (2024)