Beyond Marginal Monitoring: Distributed Joint-Distribution Testing for Data Concept Drift in Large Scale E-Commerce Operations
Large-scale tests find Spark MMD reliably detects strong concept drift in a 137.5-million-row table.
Stories per day · 30 days
3 RSS
4 stories, newest first · one card per story
Stories tagged #concept-drift
What Should World Models Forget? Stratified Retention for Continual Adaptation
Paper proposes stratified retention for continual world models, separating never-revisable invariants like physics from instance-level facts, plus a differential retention metric.
HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning
HYDRA uses hierarchical Android app graphs and contrastive learning to adapt malware detectors to concept drift with far fewer labels.
Navigating the Latent Manifold: Proactive Concept Drift Adaptation for Resilient NIDS
Researchers propose DriftXpert, a concept-drift-adaptive network intrusion detection system validated on enterprise networks, addressing degraded AI-based NIDS performance in dynamic traffic.