Value-Monotonicity Matters: A Concordance Loss for Deep Survival Prediction
Meixu Chen, Kai Wang, Jing Wang
cs.LG, cs.CV, stat.ML
Submitted: 2026-07-18
Code: https://github.com/Meixu-Chen/sigmoid-concordance-loss
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Multimodal Whole Slide Foundation Model for Pathology
- A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction
- HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks