2 papers
cs.LG2026
Tracking Adaptation Time: Metrics for Temporal Distribution Shift
Lorenzo Iovine, Giacomo Ziffer, Emanuele Della Valle
Evaluating robustness under temporal distribution shift remains an open challenge. Existing metrics quantify the average decline in performance, but fail to capture how models adap…
cs.LG2026
Don't Look Back in Anger: MAGIC Net for Streaming Continual Learning with Temporal Dependence
Federico Giannini, Sandro D'Andrea, Emanuele Della Valle
Concept drift, temporal dependence, and catastrophic forgetting represent major challenges when learning from data streams. While Streaming Machine Learning and Continual Learning…