Counterfactual contrastive learning: robust representations via causal image synthesis
Fuente:
arXiv
Saved in:
| Main Authors: | Roschewitz, Melanie, Ribeiro, Fabio De Sousa, Xia, Tian, Khara, Galvin, Glocker, Ben |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust image representations with counterfactual contrastive learning
by: Roschewitz, Mélanie, et al.
Published: (2024)
by: Roschewitz, Mélanie, et al.
Published: (2024)
Mitigating attribute amplification in counterfactual image generation
by: Xia, Tian, et al.
Published: (2024)
by: Xia, Tian, et al.
Published: (2024)
Where are we with calibration under dataset shift in image classification?
by: Roschewitz, Mélanie, et al.
Published: (2025)
by: Roschewitz, Mélanie, et al.
Published: (2025)
Counterfactual Stress Testing for Image Classification Models
by: Stammel, Moritz, et al.
Published: (2026)
by: Stammel, Moritz, et al.
Published: (2026)
CF-Seg: Counterfactuals meet Segmentation
by: Mehta, Raghav, et al.
Published: (2025)
by: Mehta, Raghav, et al.
Published: (2025)
Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation
by: Lafargue-Hauret, Marceau, et al.
Published: (2026)
by: Lafargue-Hauret, Marceau, et al.
Published: (2026)
Automatic dataset shift identification to support safe deployment of medical imaging AI
by: Roschewitz, Mélanie, et al.
Published: (2024)
by: Roschewitz, Mélanie, et al.
Published: (2024)
Distance Matters For Improving Performance Estimation Under Covariate Shift
by: Roschewitz, Mélanie, et al.
Published: (2023)
by: Roschewitz, Mélanie, et al.
Published: (2023)
Diffusion Counterfactual Generation with Semantic Abduction
by: Rasal, Rajat, et al.
Published: (2025)
by: Rasal, Rajat, et al.
Published: (2025)
Radio-opaque artefacts in digital mammography: automatic detection and analysis of downstream effects
by: Schueppert, Amelia, et al.
Published: (2024)
by: Schueppert, Amelia, et al.
Published: (2024)
Latent Causal Modeling for 3D Brain MRI Counterfactuals
by: Peng, Wei, et al.
Published: (2024)
by: Peng, Wei, et al.
Published: (2024)
Factored Classifier-Free Guidance
by: Xia, Tian, et al.
Published: (2025)
by: Xia, Tian, et al.
Published: (2025)
Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
by: Xia, Tian, et al.
Published: (2025)
by: Xia, Tian, et al.
Published: (2025)
Positional Segmentor-Guided Counterfactual Fine-Tuning for Spatially Localized Image Synthesis
by: Xia, Tian, et al.
Published: (2026)
by: Xia, Tian, et al.
Published: (2026)
Demystifying Variational Diffusion Models
by: Ribeiro, Fabio De Sousa, et al.
Published: (2024)
by: Ribeiro, Fabio De Sousa, et al.
Published: (2024)
Grounded Object Centric Learning
by: Kori, Avinash, et al.
Published: (2023)
by: Kori, Avinash, et al.
Published: (2023)
Exploring the interplay of label bias with subgroup size and separability: A case study in mammographic density classification
by: Stanley, Emma A. M., et al.
Published: (2025)
by: Stanley, Emma A. M., et al.
Published: (2025)
Flow Stochastic Segmentation Networks
by: Ribeiro, Fabio De Sousa, et al.
Published: (2025)
by: Ribeiro, Fabio De Sousa, et al.
Published: (2025)
Transparent Visual Reasoning via Object-Centric Agent Collaboration
by: Teoh, Benjamin, et al.
Published: (2025)
by: Teoh, Benjamin, et al.
Published: (2025)
Counterfactual Identifiability via Dynamic Optimal Transport
by: Ribeiro, Fabio De Sousa, et al.
Published: (2025)
by: Ribeiro, Fabio De Sousa, et al.
Published: (2025)
Causal Representation Learning with Observational Grouping for CXR Classification
by: Rasal, Rajat, et al.
Published: (2025)
by: Rasal, Rajat, et al.
Published: (2025)
Automated Prompt Generation for Creative and Counterfactual Text-to-image Synthesis
by: Jelaca, Aleksa, et al.
Published: (2025)
by: Jelaca, Aleksa, et al.
Published: (2025)
Evaluating the Explainability of Vision Transformers in Medical Imaging
by: Barekatain, Leili, et al.
Published: (2025)
by: Barekatain, Leili, et al.
Published: (2025)
Reproducible scaling laws for contrastive language-image learning
by: Cherti, Mehdi, et al.
Published: (2022)
by: Cherti, Mehdi, et al.
Published: (2022)
Combining imaging and shape features for prediction tasks of Alzheimer's disease classification and brain age regression
by: Shehata, Nairouz, et al.
Published: (2025)
by: Shehata, Nairouz, et al.
Published: (2025)
SemPPL: Predicting pseudo-labels for better contrastive representations
by: Bošnjak, Matko, et al.
Published: (2023)
by: Bošnjak, Matko, et al.
Published: (2023)
Learning predictable and robust neural representations by straightening image sequences
by: Niu, Xueyan, et al.
Published: (2024)
by: Niu, Xueyan, et al.
Published: (2024)
Equilibrium contrastive learning for imbalanced image classification
by: Roh, Sumin, et al.
Published: (2026)
by: Roh, Sumin, et al.
Published: (2026)
Spectral regularization for adversarially-robust representation learning
by: Yang, Sheng, et al.
Published: (2024)
by: Yang, Sheng, et al.
Published: (2024)
Incorporating simulated spatial context information improves the effectiveness of contrastive learning models
by: Zhu, Lizhen, et al.
Published: (2024)
by: Zhu, Lizhen, et al.
Published: (2024)
Evaluating alignment between humans and neural network representations in image-based learning tasks
by: Demircan, Can, et al.
Published: (2023)
by: Demircan, Can, et al.
Published: (2023)
V-CECE: Visual Counterfactual Explanations via Conceptual Edits
by: Spanos, Nikolaos, et al.
Published: (2025)
by: Spanos, Nikolaos, et al.
Published: (2025)
Identifiable Object Representations under Spatial Ambiguities
by: Kori, Avinash, et al.
Published: (2025)
by: Kori, Avinash, et al.
Published: (2025)
Breast tumor classification based on self-supervised contrastive learning from ultrasound videos
by: Tang, Yunxin, et al.
Published: (2024)
by: Tang, Yunxin, et al.
Published: (2024)
Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning
by: Du, Dazhao, et al.
Published: (2026)
by: Du, Dazhao, et al.
Published: (2026)
Digging into contrastive learning for robust depth estimation with diffusion models
by: Wang, Jiyuan, et al.
Published: (2024)
by: Wang, Jiyuan, et al.
Published: (2024)
Disentangled representations of microscopy images
by: Dapueto, Jacopo, et al.
Published: (2025)
by: Dapueto, Jacopo, et al.
Published: (2025)
Understanding normalization in contrastive representation learning and out-of-distribution detection
by: Le-Gia, Tai, et al.
Published: (2023)
by: Le-Gia, Tai, et al.
Published: (2023)
Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
by: Ballarin, Emanuele, et al.
Published: (2023)
by: Ballarin, Emanuele, et al.
Published: (2023)
MedSteer: Counterfactual Endoscopic Synthesis via Training-Free Activation Steering
by: Pham, Trong-Thang, et al.
Published: (2026)
by: Pham, Trong-Thang, et al.
Published: (2026)
Similar Items
-
Robust image representations with counterfactual contrastive learning
by: Roschewitz, Mélanie, et al.
Published: (2024) -
Mitigating attribute amplification in counterfactual image generation
by: Xia, Tian, et al.
Published: (2024) -
Where are we with calibration under dataset shift in image classification?
by: Roschewitz, Mélanie, et al.
Published: (2025) -
Counterfactual Stress Testing for Image Classification Models
by: Stammel, Moritz, et al.
Published: (2026) -
CF-Seg: Counterfactuals meet Segmentation
by: Mehta, Raghav, et al.
Published: (2025)