Outlier-Oriented Poisoning Attack: A Grey-box Approach to Disturb Decision Boundaries by Perturbing Outliers in Multiclass…
HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learningby Tuan Ngo Nguyen,…
A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-enginesby Zixuan He, Ziqian…
Personalized Federated Learning via Feature Distribution Adaptationby Connor J. Mclaughlin, Lili SuFirst submitted to arxiv…
Unified theory of upper confidence bound policies for bandit problems targeting total reward, maximal reward,…
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspectiveby Yeonsung Jung, Jaeyun…
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Surveyby Kien X. Nguyen, Fengchun Qiao, Arthur…
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environmentsby Paulius Rauba, Nabeel Seedat,…
Monitoring fairness in machine learning models that predict patient mortality in the ICUby Tempest A.…
MEDS-Tab: Automated tabularization and baseline methods for MEDS datasetsby Nassim Oufattole, Teya Bergamaschi, Aleksia Kolo,…