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cs.LG2024★ 1 cited
An Adversarial Learning Approach to Irregular Time-Series Forecasting
Heejeong Nam, Jihyun Kim, Jimin Yeom
Forecasting irregular time series presents significant challenges due to two key issues: the vulnerability of models to mean regression, driven by the noisy and complex nature of t…
cs.CV2024
Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification
Joohyung Lee, Heejeong Nam, Kwanhyung Lee +1
Whole-slide image (WSI) classification is a challenging task because 1) patches from WSI lack annotation, and 2) WSI possesses unnecessary variability, e.g., stain protocol. Recent…