Machine Evaluation and Learning @ UTokyo
We are a sub-group of Machine Learning and Statistical Data Analysis Lab (mslab) in UTokyo, with a focus on machine evaluation and learning (MEAL).
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irreducible
irreducible Public[ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
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[ICLR 2023] Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
ishida-lab/irreducible’s past year of commit activity - IW-DPO Public
[TMLR 2025] Importance Weighting for Aligning Language Models under Deployment Distribution Shift
ishida-lab/IW-DPO’s past year of commit activity
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