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Young In Kim

2 papers hereh-index 28 citations3 works total

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author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

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collaborators

2 papers

cs.LG2026

Membership Privacy Risks of Sharpness Aware Minimization

Young In Kim, Andrea Agiollo, Pratiksha Agrawal +2

Optimization algorithms that seek flatter minima, such as Sharpness-Aware Minimization (SAM), are credited with improved generalization and robustness to noise. We ask whether such…

cs.LG2025

SAMOSA: Sharpness Aware Minimization for Open Set Active learning

Young In Kim, Andrea Agiollo, Rajiv Khanna

Modern machine learning solutions require extensive data collection where labeling remains costly. To reduce this burden, open set active learning approaches aim to select informat…

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