← Application Areas
Machine Learning › Application Areas ›

Risk Management

1053 directly classified papers

Papers per year

Papers

Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring (Extended Abstract) IJCAI 2025
Risk-Aware Task Migration for Multiplex Unmanned Swarm Networks in Adversarial Environments IJCAI 2025
Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors JMLR 2025
Extremal graphical modeling with latent variables via convex optimization JMLR 2025
Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes AAAI 2025
Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce AAAI 2025
Shield Synthesis for LTL Modulo Theories AAAI 2025
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection ICCV 2025
A Tale of Evaluating Factual Consistency: Case Study on Long Document Summarization Evaluation ACL 2025
IALab UC at BEA 2025 Shared Task: LLM-Powered Expert Pedagogical Feature Extraction ACL 2025
CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling ACL 2025
Human Interpretable Virtual Metrology in the Semiconductor Manufacturing AAAI 2025
Risk Controlled Image Retrieval AAAI 2025
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection AAAI 2025
Interpretable Failure Detection with Human-Level Concepts AAAI 2025
MQM-Chat: Multidimensional Quality Metrics for Chat Translation COLING 2025
OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection CVPR 2025
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution AAAI 2025
Detecting Adversarial Data Using Perturbation Forgery CVPR 2025
Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025
DCC: Differentiable Cardinality Constraints for Partial Index Tracking AAAI 2025
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks CVPR 2025
D^3: Scaling Up Deepfake Detection by Learning from Discrepancy CVPR 2025
AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models AAAI 2025
ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks AAAI 2025