1 citations · 1 across the 1 of their papers we have counts for
3 papers
Normative Alignment of Recommender Systems via Internal Label Shift
Johannes Kruse, Kasper Lindskow, Michael Riis Andersen +4
We introduce NAILS (Normative Alignment of Recommender Systems via Internal Label Shift), a simple and scalable method for aligning recommendation outputs with target distributions…
Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification
Shijian Wang, Linxin Song, Ryotaro Shimizu +2
Zero-shot domain-specific image classification is challenging in classifying real images without ground-truth in-domain training examples. Recent research involved knowledge from t…
Vision and Language Reference Prompt into SAM for Few-shot Segmentation
Kosuke Sakurai, Ryotaro Shimizu, Masayuki Goto
Segment Anything Model (SAM) represents a large-scale segmentation model that enables powerful zero-shot capabilities with flexible prompts. While SAM can segment any object in zer…