Full Conformal Adaptation of Medical Vision-Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Silva-Rodríguez, Julio, Fillioux, Leo, Cournède, Paul-Henry, Vakalopoulou, Maria, Christodoulidis, Stergios, Ayed, Ismail Ben, Dolz, Jose |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Are foundation models for computer vision good conformal predictors?
by: Fillioux, Leo, et al.
Published: (2024)
by: Fillioux, Leo, et al.
Published: (2024)
SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning
by: Fillioux, Leo, et al.
Published: (2026)
by: Fillioux, Leo, et al.
Published: (2026)
PVeRA: Probabilistic Vector-Based Random Matrix Adaptation
by: Fillioux, Leo, et al.
Published: (2025)
by: Fillioux, Leo, et al.
Published: (2025)
Information Maximization for Long-Tailed Semi-Supervised Domain Generalization
by: Fillioux, Leo, et al.
Published: (2026)
by: Fillioux, Leo, et al.
Published: (2026)
Class Adaptive Conformal Training
by: Marani, Badr-Eddine, et al.
Published: (2026)
by: Marani, Badr-Eddine, et al.
Published: (2026)
Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal Prediction
by: Silva-Rodríguez, Julio, et al.
Published: (2025)
by: Silva-Rodríguez, Julio, et al.
Published: (2025)
Conformal Prediction for Zero-Shot Models
by: Silva-Rodríguez, Julio, et al.
Published: (2025)
by: Silva-Rodríguez, Julio, et al.
Published: (2025)
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
by: Silva-Rodríguez, Julio, et al.
Published: (2023)
by: Silva-Rodríguez, Julio, et al.
Published: (2023)
Few-shot Adaptation of Medical Vision-Language Models
by: Shakeri, Fereshteh, et al.
Published: (2024)
by: Shakeri, Fereshteh, et al.
Published: (2024)
THUNDER: Tile-level Histopathology image UNDERstanding benchmark
by: Marza, Pierre, et al.
Published: (2025)
by: Marza, Pierre, et al.
Published: (2025)
Medical Context Distorts Decisions in Clinical Vision Language Models
by: Restrepo, David, et al.
Published: (2026)
by: Restrepo, David, et al.
Published: (2026)
Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models
by: Mishra, Shambhavi, et al.
Published: (2024)
by: Mishra, Shambhavi, et al.
Published: (2024)
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
by: Silva-Rodríguez, Julio, et al.
Published: (2025)
by: Silva-Rodríguez, Julio, et al.
Published: (2025)
Robust Calibration of Large Vision-Language Adapters
by: Murugesan, Balamurali, et al.
Published: (2024)
by: Murugesan, Balamurali, et al.
Published: (2024)
SGPMIL: Sparse Gaussian Process Multiple Instance Learning
by: Lolos, Andreas, et al.
Published: (2025)
by: Lolos, Andreas, et al.
Published: (2025)
Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation
by: Silva-Rodríguez, Julio, et al.
Published: (2025)
by: Silva-Rodríguez, Julio, et al.
Published: (2025)
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
by: Silva-Rodríguez, Julio, et al.
Published: (2023)
by: Silva-Rodríguez, Julio, et al.
Published: (2023)
BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation
by: Morales-Álvarez, Pablo, et al.
Published: (2024)
by: Morales-Álvarez, Pablo, et al.
Published: (2024)
ORION: ORthonormal Text Encoding for Universal VLM AdaptatION
by: Chakraborty, Omprakash, et al.
Published: (2026)
by: Chakraborty, Omprakash, et al.
Published: (2026)
Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation
by: Baklouti, Ghassen, et al.
Published: (2025)
by: Baklouti, Ghassen, et al.
Published: (2025)
OCTOPUS: Enhancing the Spatial-Awareness of Vision SSMs with Multi-Dimensional Scans and Traversal Selection
by: Mahatha, Kunal, et al.
Published: (2026)
by: Mahatha, Kunal, et al.
Published: (2026)
Low-Rank Few-Shot Adaptation of Vision-Language Models
by: Zanella, Maxime, et al.
Published: (2024)
by: Zanella, Maxime, et al.
Published: (2024)
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
by: Silva-Rodríguez, Julio, et al.
Published: (2023)
by: Silva-Rodríguez, Julio, et al.
Published: (2023)
Class and Region-Adaptive Constraints for Network Calibration
by: Murugesan, Balamurali, et al.
Published: (2024)
by: Murugesan, Balamurali, et al.
Published: (2024)
Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation
by: Hajimiri, Sina, et al.
Published: (2024)
by: Hajimiri, Sina, et al.
Published: (2024)
Fairness and Robustness of CLIP-Based Models for Chest X-rays
by: Sourget, Théo, et al.
Published: (2025)
by: Sourget, Théo, et al.
Published: (2025)
On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI
by: Restrepo, David, et al.
Published: (2025)
by: Restrepo, David, et al.
Published: (2025)
Realistic Test-Time Adaptation of Vision-Language Models
by: Zanella, Maxime, et al.
Published: (2025)
by: Zanella, Maxime, et al.
Published: (2025)
ViLU: Learning Vision-Language Uncertainties for Failure Prediction
by: Lafon, Marc, et al.
Published: (2025)
by: Lafon, Marc, et al.
Published: (2025)
CAPRMIL: Context-Aware Patch Representations for Multiple Instance Learning
by: Lolos, Andreas, et al.
Published: (2025)
by: Lolos, Andreas, et al.
Published: (2025)
Boosting Vision-Language Models with Transduction
by: Zanella, Maxime, et al.
Published: (2024)
by: Zanella, Maxime, et al.
Published: (2024)
Mask-HybridGNet: Graph-based segmentation with emergent anatomical correspondence from pixel-level supervision
by: Gaggion, Nicolás, et al.
Published: (2026)
by: Gaggion, Nicolás, et al.
Published: (2026)
Locality-Attending Vision Transformer
by: Hajimiri, Sina, et al.
Published: (2026)
by: Hajimiri, Sina, et al.
Published: (2026)
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy
by: Silva-Rodriguez, Julio, et al.
Published: (2024)
by: Silva-Rodriguez, Julio, et al.
Published: (2024)
Controllable Latent Space Augmentation for Digital Pathology
by: Boutaj, Sofiène, et al.
Published: (2025)
by: Boutaj, Sofiène, et al.
Published: (2025)
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
by: Marani, Badr-Eddine, et al.
Published: (2024)
by: Marani, Badr-Eddine, et al.
Published: (2024)
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation
by: Murugesan, Balamurali, et al.
Published: (2023)
by: Murugesan, Balamurali, et al.
Published: (2023)
Calibrating Segmentation Networks with Margin-based Label Smoothing
by: Murugesan, Balamurali, et al.
Published: (2022)
by: Murugesan, Balamurali, et al.
Published: (2022)
Vocabulary-free few-shot learning for Vision-Language Models
by: Zanella, Maxime, et al.
Published: (2025)
by: Zanella, Maxime, et al.
Published: (2025)
Do not trust what you trust: Miscalibration in Semi-supervised Learning
by: Mishra, Shambhavi, et al.
Published: (2024)
by: Mishra, Shambhavi, et al.
Published: (2024)
Similar Items
-
Are foundation models for computer vision good conformal predictors?
by: Fillioux, Leo, et al.
Published: (2024) -
SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning
by: Fillioux, Leo, et al.
Published: (2026) -
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) -
Class Adaptive Conformal Training
by: Marani, Badr-Eddine, et al.
Published: (2026)