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stat.ML2026
Implicit Target Shift in Online Learning: Characterization and Correction
Ziyan Li, Naoki Hiratani
Online learning from a stream of data is a defining feature of intelligence, yet modern machine learning systems often struggle in this setting, especially under distributional shi…
stat.ML2025★ 1 cited
Optimal Task Order for Continual Learning of Multiple Tasks
Ziyan Li, Naoki Hiratani
Continual learning of multiple tasks remains a major challenge for neural networks. Here, we investigate how task order influences continual learning and propose a strategy for opt…
stat.ML2024
Disentangling and Mitigating the Impact of Task Similarity for Continual Learning
Naoki Hiratani
Continual learning of partially similar tasks poses a challenge for artificial neural networks, as task similarity presents both an opportunity for knowledge transfer and a risk of…