Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Minghui, Engelhard, Matthew M., Goldstein, Benjamin A. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CLEAR: Unlearning Spurious Style-Content Associations with Contrastive LEarning with Anti-contrastive Regularization
by: Sun, Minghui, et al.
Published: (2025)
by: Sun, Minghui, et al.
Published: (2025)
NEST: Nested Event Stream Transformer for Sequences of Multisets
by: Sun, Minghui, et al.
Published: (2026)
by: Sun, Minghui, et al.
Published: (2026)
Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment
by: Wang, Zigui, et al.
Published: (2026)
by: Wang, Zigui, et al.
Published: (2026)
Interval-Based AUC (iAUC): Extending ROC Analysis to Uncertainty-Aware Classification
by: Li, Yuqi, et al.
Published: (2026)
by: Li, Yuqi, et al.
Published: (2026)
Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model
by: Zhao, Yuankang, et al.
Published: (2025)
by: Zhao, Yuankang, et al.
Published: (2025)
Overfitting In Contrastive Learning?
by: Rabin, Zachary, et al.
Published: (2024)
by: Rabin, Zachary, et al.
Published: (2024)
FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
by: Liu, Pengxi, et al.
Published: (2025)
by: Liu, Pengxi, et al.
Published: (2025)
Infinite hierarchical contrastive clustering for personal digital envirotyping
by: Huang, Ya-Yun, et al.
Published: (2025)
by: Huang, Ya-Yun, et al.
Published: (2025)
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
by: Li, Boyao, et al.
Published: (2023)
by: Li, Boyao, et al.
Published: (2023)
TRACER: Transfer Learning based Real-time Adaptation for Clinical Evolving Risk
by: Yan, Mengying, et al.
Published: (2025)
by: Yan, Mengying, et al.
Published: (2025)
Quantum-Enhanced Reinforcement Learning for Power Grid Security Assessment
by: Peter, Benjamin M., et al.
Published: (2025)
by: Peter, Benjamin M., et al.
Published: (2025)
Advancements In Heart Disease Prediction: A Machine Learning Approach For Early Detection And Risk Assessment
by: Ingole, Balaji Shesharao, et al.
Published: (2024)
by: Ingole, Balaji Shesharao, et al.
Published: (2024)
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity
by: Zhi, Zhuo, et al.
Published: (2024)
by: Zhi, Zhuo, et al.
Published: (2024)
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
by: Ben-Michael, Eli, et al.
Published: (2021)
by: Ben-Michael, Eli, et al.
Published: (2021)
Tight PAC-Bayesian Risk Certificates for Contrastive Learning
by: Van Elst, Anna, et al.
Published: (2024)
by: Van Elst, Anna, et al.
Published: (2024)
FairContrast: Enhancing Fairness through Contrastive learning and Customized Augmenting Methods on Tabular Data
by: Tayebi, Aida, et al.
Published: (2025)
by: Tayebi, Aida, et al.
Published: (2025)
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
by: Xu, Maxwell A., et al.
Published: (2023)
by: Xu, Maxwell A., et al.
Published: (2023)
Enhancing Data Quality through Self-learning on Imbalanced Financial Risk Data
by: Sun, Xu, et al.
Published: (2024)
by: Sun, Xu, et al.
Published: (2024)
Vendor-Conditioned Contrastive Learning for Predicting Organizational Cyber Threat Targets
by: Ampel, Benjamin M.
Published: (2020)
by: Ampel, Benjamin M.
Published: (2020)
Early Risk Assessment Model for ICA Timing Strategy in Unstable Angina Patients Using Multi-Modal Machine Learning
by: Zheng, Candi, et al.
Published: (2024)
by: Zheng, Candi, et al.
Published: (2024)
Calibrating for the Future:Enhancing Calorimeter Longevity with Deep Learning
by: Ali, S., et al.
Published: (2024)
by: Ali, S., et al.
Published: (2024)
TransFIRA: Transfer Learning for Face Image Recognizability Assessment
by: Tu, Allen, et al.
Published: (2025)
by: Tu, Allen, et al.
Published: (2025)
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing
by: Squires, Matthew, et al.
Published: (2024)
by: Squires, Matthew, et al.
Published: (2024)
Early Detection of At-Risk Students Using Machine Learning
by: Martinez, Azucena L. Jimenez, et al.
Published: (2024)
by: Martinez, Azucena L. Jimenez, et al.
Published: (2024)
Contrastive Diffusion Alignment: Learning Structured Latents for Controllable Generation
by: Sandilya, Ruchi, et al.
Published: (2025)
by: Sandilya, Ruchi, et al.
Published: (2025)
NIDA-CLIFGAN: Natural Infrastructure Damage Assessment through Efficient Classification Combining Contrastive Learning, Information Fusion and Generative Adversarial Networks
by: Wei, Jie, et al.
Published: (2021)
by: Wei, Jie, et al.
Published: (2021)
Enhancing Active Learning for Sentinel 2 Imagery through Contrastive Learning and Uncertainty Estimation
by: Pogorzelski, David, et al.
Published: (2024)
by: Pogorzelski, David, et al.
Published: (2024)
Understanding Self-supervised Contrastive Learning through Supervised Objectives
by: Lee, Byeongchan
Published: (2025)
by: Lee, Byeongchan
Published: (2025)
Learning Dynamic Graph Representations through Timespan View Contrasts
by: Xu, Yiming, et al.
Published: (2026)
by: Xu, Yiming, et al.
Published: (2026)
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before An Ongoing Trajectory Terminates
by: Liu, Shicheng, et al.
Published: (2024)
by: Liu, Shicheng, et al.
Published: (2024)
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching
by: Dasgupta, Sutanoy, et al.
Published: (2021)
by: Dasgupta, Sutanoy, et al.
Published: (2021)
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning
by: Sun, Jiarui, et al.
Published: (2024)
by: Sun, Jiarui, et al.
Published: (2024)
Addressing the Gaps in Early Dementia Detection: A Path Towards Enhanced Diagnostic Models through Machine Learning
by: Moya, Juan A. Berrios
Published: (2024)
by: Moya, Juan A. Berrios
Published: (2024)
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
by: Wen, Yuxin, et al.
Published: (2024)
by: Wen, Yuxin, et al.
Published: (2024)
Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning
by: Rheude, Tillmann, et al.
Published: (2026)
by: Rheude, Tillmann, et al.
Published: (2026)
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
by: Liu, Nian, et al.
Published: (2023)
by: Liu, Nian, et al.
Published: (2023)
On Quantification of Borrowing of Information in Hierarchical Bayesian Models
by: Ghosh, Prasenjit, et al.
Published: (2025)
by: Ghosh, Prasenjit, et al.
Published: (2025)
FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures Trading
by: Qin, Molei, et al.
Published: (2025)
by: Qin, Molei, et al.
Published: (2025)
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
by: Saporta, Adriel, et al.
Published: (2024)
by: Saporta, Adriel, et al.
Published: (2024)
Improving Knowledge Graph Embeddings through Contrastive Learning with Negative Statements
by: Sousa, Rita T., et al.
Published: (2025)
by: Sousa, Rita T., et al.
Published: (2025)
Similar Items
-
CLEAR: Unlearning Spurious Style-Content Associations with Contrastive LEarning with Anti-contrastive Regularization
by: Sun, Minghui, et al.
Published: (2025) -
NEST: Nested Event Stream Transformer for Sequences of Multisets
by: Sun, Minghui, et al.
Published: (2026) -
Multimodal Training to Unimodal Deployment: Leveraging Unstructured Data During Training to Optimize Structured Data Only Deployment
by: Wang, Zigui, et al.
Published: (2026) -
Interval-Based AUC (iAUC): Extending ROC Analysis to Uncertainty-Aware Classification
by: Li, Yuqi, et al.
Published: (2026) -
Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model
by: Zhao, Yuankang, et al.
Published: (2025)