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cs.LG2025
Ready2Unlearn: A Learning-Time Approach for Preparing Models with Future Unlearning Readiness
Hanyu Duan, Yi Yang, Ahmed Abbasi +1
Machine unlearning is the process of removing the imprint left by specific data samples during the training of a machine learning model. AI developers, including those building per…
cs.LG2025
Robust Predictive Modeling Under Unseen Data Distribution Shifts: A Methodological Commentary
Hanyu Duan, Yi Yang, Ahmed Abbasi +1
Most research designing novel predictive models, or employing existing ones, assumes that training and testing data are independent and identically distributed. In practice, the da…
cs.LG2025
Aligning Human and Machine Attention for Enhanced Supervised Learning
Avihay Chriqui, Inbal Yahav, Dov Teeni +1
Attention, or prioritization of certain information items over others, is a critical element of any learning process, for both humans and machines. Given that humans continue to ou…